{
  "feeds": [
    {
      "slug": "github-platform-api",
      "name": "GitHub Platform API",
      "summary": "A high-value feed for developer activity, repository metadata, release cadence, issue velocity, and open-source project monitoring.",
      "coverage": "Developer activity, releases, repositories, issues, and organizations.",
      "cadence": "Near-real-time API responses with rolling index refresh.",
      "url": "https://docs.github.com/en/rest",
      "signals": [
        "Release velocity",
        "Repository growth",
        "Open-source maintenance health"
      ],
      "sources": [
        "GitHub Platform API"
      ],
      "dataPanels": [
        {
          "id": "feed-gh-1",
          "mark": "I.",
          "title": "GitHub Coverage",
          "cite": "GitHub REST and GraphQL surfaces",
          "rows": [
            {
              "label": "Repositories referenced",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Release events indexed",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Strongest use case",
              "value": "Open-source intelligence",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Faster project and vendor discovery",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "hugging-face-hub-api",
      "name": "Hugging Face Hub API",
      "summary": "A strong public source for model discovery, dataset discovery, benchmark monitoring, and watching the open-model market move in visible public time.",
      "coverage": "Models, datasets, model cards, and repository metadata.",
      "cadence": "Rolling discovery with periodic catalog refresh.",
      "url": "https://huggingface.co/docs/hub/api",
      "signals": [
        "Model launches",
        "Benchmark narrative shifts",
        "Dataset discovery"
      ],
      "sources": [
        "Hugging Face Hub API"
      ],
      "dataPanels": [
        {
          "id": "feed-hf-1",
          "mark": "I.",
          "title": "Hub Coverage",
          "cite": "Model discovery layer",
          "rows": [
            {
              "label": "Model cards tracked",
              "value": "Modeled scope",
              "tone": "crimson",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Dataset cards tracked",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "AI sourcing",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best partner feed",
              "value": "GitHub Platform API",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "sec-edgar-api",
      "name": "SEC EDGAR API",
      "summary": "A must-have public source for filing-aware customers who need reported facts, not commentary, when they are tracing technology companies and capital-market narratives.",
      "coverage": "Company filings, submissions, and public-company reporting.",
      "cadence": "Event-driven as new filings arrive.",
      "url": "https://www.sec.gov/search-filings/edgar-application-programming-interfaces",
      "signals": [
        "Reported cash balances",
        "Risk factor changes",
        "Capital spending and buyback activity"
      ],
      "sources": [
        "SEC EDGAR API"
      ],
      "dataPanels": [
        {
          "id": "feed-sec-1",
          "mark": "I.",
          "title": "Filing Coverage",
          "cite": "Public-company filings",
          "rows": [
            {
              "label": "Filing entries indexed",
              "value": "Modeled scope",
              "tone": "crimson",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Fact-based company research",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best follow-on surface",
              "value": "Agentic Liquid Assets",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "nasa-open-api-stack",
      "name": "NASA Open API Stack",
      "summary": "A discovery lane for space, imagery, astronomy, and earth-observation sources that help customers map scientific or visual data into products and research.",
      "coverage": "Imagery, astronomy, earth data, and related public scientific feeds.",
      "cadence": "Provider-dependent; typically daily to periodic.",
      "url": "https://api.nasa.gov/",
      "signals": [
        "Earth imagery",
        "Space activity",
        "Observation archives"
      ],
      "sources": [
        "NASA Open API Stack"
      ],
      "dataPanels": [
        {
          "id": "feed-nasa-1",
          "mark": "I.",
          "title": "NASA Coverage",
          "cite": "Public space and earth feeds",
          "rows": [
            {
              "label": "Observational data points",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Visual products and research",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best companion source",
              "value": "NOAA Climate Data API",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "world-bank-data-api",
      "name": "World Bank Data API",
      "summary": "A broad public data source for global development, country comparison, and structured indicators that customers can use well beyond fiscal research alone.",
      "coverage": "Country indicators, development series, and multi-database queries.",
      "cadence": "Series dependent; periodic official updates.",
      "url": "https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation",
      "signals": [
        "Country indicators",
        "Development context",
        "Cross-country comparisons"
      ],
      "sources": [
        "World Bank Data API"
      ],
      "dataPanels": [
        {
          "id": "feed-wb-1",
          "mark": "I.",
          "title": "Indicator Coverage",
          "cite": "World Bank public indicator layer",
          "rows": [
            {
              "label": "Indicators mapped",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Country comparison",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Why it matters here",
              "value": "Adds depth outside purely private-sector technology feeds",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    }
  ],
  "sources": [
    {
      "slug": "github-platform-api",
      "name": "GitHub Platform API",
      "summary": "A high-value feed for developer activity, repository metadata, release cadence, issue velocity, and open-source project monitoring.",
      "coverage": "Developer activity, releases, repositories, issues, and organizations.",
      "cadence": "Near-real-time API responses with rolling index refresh.",
      "url": "https://docs.github.com/en/rest",
      "dataPanels": [
        {
          "id": "feed-gh-1",
          "mark": "I.",
          "title": "GitHub Coverage",
          "cite": "GitHub REST and GraphQL surfaces",
          "rows": [
            {
              "label": "Repositories referenced",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Release events indexed",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Strongest use case",
              "value": "Open-source intelligence",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Faster project and vendor discovery",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "hugging-face-hub-api",
      "name": "Hugging Face Hub API",
      "summary": "A strong public source for model discovery, dataset discovery, benchmark monitoring, and watching the open-model market move in visible public time.",
      "coverage": "Models, datasets, model cards, and repository metadata.",
      "cadence": "Rolling discovery with periodic catalog refresh.",
      "url": "https://huggingface.co/docs/hub/api",
      "dataPanels": [
        {
          "id": "feed-hf-1",
          "mark": "I.",
          "title": "Hub Coverage",
          "cite": "Model discovery layer",
          "rows": [
            {
              "label": "Model cards tracked",
              "value": "Modeled scope",
              "tone": "crimson",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Dataset cards tracked",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "AI sourcing",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best partner feed",
              "value": "GitHub Platform API",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "sec-edgar-api",
      "name": "SEC EDGAR API",
      "summary": "A must-have public source for filing-aware customers who need reported facts, not commentary, when they are tracing technology companies and capital-market narratives.",
      "coverage": "Company filings, submissions, and public-company reporting.",
      "cadence": "Event-driven as new filings arrive.",
      "url": "https://www.sec.gov/search-filings/edgar-application-programming-interfaces",
      "dataPanels": [
        {
          "id": "feed-sec-1",
          "mark": "I.",
          "title": "Filing Coverage",
          "cite": "Public-company filings",
          "rows": [
            {
              "label": "Filing entries indexed",
              "value": "Modeled scope",
              "tone": "crimson",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Fact-based company research",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best follow-on surface",
              "value": "Agentic Liquid Assets",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "nasa-open-api-stack",
      "name": "NASA Open API Stack",
      "summary": "A discovery lane for space, imagery, astronomy, and earth-observation sources that help customers map scientific or visual data into products and research.",
      "coverage": "Imagery, astronomy, earth data, and related public scientific feeds.",
      "cadence": "Provider-dependent; typically daily to periodic.",
      "url": "https://api.nasa.gov/",
      "dataPanels": [
        {
          "id": "feed-nasa-1",
          "mark": "I.",
          "title": "NASA Coverage",
          "cite": "Public space and earth feeds",
          "rows": [
            {
              "label": "Observational data points",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Visual products and research",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Best companion source",
              "value": "NOAA Climate Data API",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "world-bank-data-api",
      "name": "World Bank Data API",
      "summary": "A broad public data source for global development, country comparison, and structured indicators that customers can use well beyond fiscal research alone.",
      "coverage": "Country indicators, development series, and multi-database queries.",
      "cadence": "Series dependent; periodic official updates.",
      "url": "https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation",
      "dataPanels": [
        {
          "id": "feed-wb-1",
          "mark": "I.",
          "title": "Indicator Coverage",
          "cite": "World Bank public indicator layer",
          "rows": [
            {
              "label": "Indicators mapped",
              "value": "Modeled scope",
              "tone": "emerald",
              "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published."
            },
            {
              "label": "Best customer use",
              "value": "Country comparison",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Why it matters here",
              "value": "Adds depth outside purely private-sector technology feeds",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    }
  ],
  "domainApis": [
    {
      "slug": "quantapoint",
      "name": "QuantaPoint API",
      "title": "QuantaPoint API",
      "number": 1,
      "domain": "Discrete Data",
      "tagline": "Precision in every point.",
      "icon": "/datalake-icons/domains/01-quantapoint-discrete.svg",
      "endpoint": "/v1/quantapoint",
      "refreshCadence": "Batch and event refresh",
      "summary": "Captures countable events, binary counts, tagged observations, and finite-value snapshots where every point needs a clean identity.",
      "sourceModel": [
        "Surveys",
        "event logs",
        "inventory systems",
        "official counts"
      ],
      "useCases": [
        "Operational counts",
        "survey response modeling",
        "classification-ready event ledgers"
      ],
      "dataPanels": [
        {
          "id": "domain-quantapoint-1",
          "mark": "1.",
          "title": "Discrete Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "12",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/quantapoint",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Batch and event refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Operational counts",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "flowstream",
      "name": "FlowStream API",
      "title": "FlowStream API",
      "number": 2,
      "domain": "Continuous Data",
      "tagline": "Continuous intelligence at market speed.",
      "icon": "/datalake-icons/domains/02-flowstream-continuous.svg",
      "endpoint": "/v1/flowstream",
      "refreshCadence": "Streaming and rolling refresh",
      "summary": "Serves measurements that move across a continuum, including prices, temperatures, telemetry, rates, and scientific observations.",
      "sourceModel": [
        "Market feeds",
        "sensor networks",
        "climate monitors",
        "industrial telemetry"
      ],
      "useCases": [
        "Time-sensitive monitoring",
        "trend detection",
        "rolling measurement dashboards"
      ],
      "dataPanels": [
        {
          "id": "domain-flowstream-1",
          "mark": "2.",
          "title": "Continuous Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "18",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/flowstream",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Streaming and rolling refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Time-sensitive monitoring",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "intervaliq",
      "name": "IntervalIQ API",
      "title": "IntervalIQ API",
      "number": 3,
      "domain": "Interval Data",
      "tagline": "Compare differences with the scale intact.",
      "icon": "/datalake-icons/domains/03-intervalscale-interval.svg",
      "endpoint": "/v1/intervaliq",
      "refreshCadence": "Scheduled refresh",
      "summary": "Handles values where the difference between points matters, including scored indicators, economic indexes, and normalized measurement series.",
      "sourceModel": [
        "Economic indexes",
        "benchmark tables",
        "scientific scales",
        "survey instruments"
      ],
      "useCases": [
        "Comparable scoring",
        "benchmark review",
        "policy and index analysis"
      ],
      "dataPanels": [
        {
          "id": "domain-intervaliq-1",
          "mark": "3.",
          "title": "Interval Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "9",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/intervaliq",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Scheduled refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Comparable scoring",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "ratioforge",
      "name": "RatioForge API",
      "title": "RatioForge API",
      "number": 4,
      "domain": "Ratio Data",
      "tagline": "Ratios with real zero discipline.",
      "icon": "/datalake-icons/domains/04-ratiocore-ratio.svg",
      "endpoint": "/v1/ratioforge",
      "refreshCadence": "Scheduled and filing-driven refresh",
      "summary": "Supports ratio-scale values such as revenue, population, weights, volumes, and financial measures where proportional comparison is valid.",
      "sourceModel": [
        "Financial statements",
        "population series",
        "commodity tables",
        "operating metrics"
      ],
      "useCases": [
        "Comparable financial analytics",
        "unit economics",
        "normalized market dashboards"
      ],
      "dataPanels": [
        {
          "id": "domain-ratioforge-1",
          "mark": "4.",
          "title": "Ratio Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "16",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/ratioforge",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Scheduled and filing-driven refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Comparable financial analytics",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "classifyx",
      "name": "ClassifyX API",
      "title": "ClassifyX API",
      "number": 5,
      "domain": "Nominal Data",
      "tagline": "Clean labels for messy worlds.",
      "icon": "/datalake-icons/domains/05-nominalmap-nominal.svg",
      "endpoint": "/v1/classifyx",
      "refreshCadence": "Rolling classification refresh",
      "summary": "Maps named categories, entities, sectors, taxonomies, labels, and identity fields into queryable classification systems.",
      "sourceModel": [
        "Taxonomies",
        "entity registries",
        "sector maps",
        "classification codes"
      ],
      "useCases": [
        "Entity resolution",
        "category mapping",
        "data normalization"
      ],
      "dataPanels": [
        {
          "id": "domain-classifyx-1",
          "mark": "5.",
          "title": "Nominal Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "14",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/classifyx",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Rolling classification refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Entity resolution",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "rankengine",
      "name": "RankEngine API",
      "title": "RankEngine API",
      "number": 6,
      "domain": "Ordinal Data",
      "tagline": "Rank the signal without pretending it is distance.",
      "icon": "/datalake-icons/domains/06-ordinalrank-ordinal.svg",
      "endpoint": "/v1/rankengine",
      "refreshCadence": "Batch and scoring refresh",
      "summary": "Works with ordered values, rankings, tiers, ratings, priority bands, and confidence levels without flattening them into false precision.",
      "sourceModel": [
        "Rankings",
        "credit tiers",
        "risk levels",
        "quality scores"
      ],
      "useCases": [
        "Leaderboards",
        "risk tiering",
        "quality screening"
      ],
      "dataPanels": [
        {
          "id": "domain-rankengine-1",
          "mark": "6.",
          "title": "Ordinal Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "8",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/rankengine",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Batch and scoring refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Leaderboards",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "binarypulse",
      "name": "BinaryPulse API",
      "title": "BinaryPulse API",
      "number": 7,
      "domain": "Binary Data",
      "tagline": "Yes, no, active, inactive, detected.",
      "icon": "/datalake-icons/domains/07-binarygate-binary.svg",
      "endpoint": "/v1/binarypulse",
      "refreshCadence": "Event-driven refresh",
      "summary": "Captures true-false states, flags, switches, eligibility markers, alerts, and yes-no observations with traceable context.",
      "sourceModel": [
        "Availability flags",
        "compliance markers",
        "risk alerts",
        "eligibility systems"
      ],
      "useCases": [
        "Alert routing",
        "availability checks",
        "rule-based screening"
      ],
      "dataPanels": [
        {
          "id": "domain-binarypulse-1",
          "mark": "7.",
          "title": "Binary Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "7",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/binarypulse",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Event-driven refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Alert routing",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "schemavault",
      "name": "SchemaVault API",
      "title": "SchemaVault API",
      "number": 8,
      "domain": "Structured Data",
      "tagline": "Tables, schemas, and records with enterprise discipline.",
      "icon": "/datalake-icons/domains/08-structbase-structured.svg",
      "endpoint": "/v1/schemavault",
      "refreshCadence": "Scheduled and provider cadence",
      "summary": "Serves row-and-column data, official tables, normalized records, and relational source material that customers can query cleanly.",
      "sourceModel": [
        "Government tables",
        "financial filings",
        "database exports",
        "official records"
      ],
      "useCases": [
        "BI dashboards",
        "regulatory research",
        "source-backed tables"
      ],
      "dataPanels": [
        {
          "id": "domain-schemavault-1",
          "mark": "8.",
          "title": "Structured Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "22",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/schemavault",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Scheduled and provider cadence",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "BI dashboards",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "deeplake",
      "name": "DeepLake API",
      "title": "DeepLake API",
      "number": 9,
      "domain": "Unstructured Data",
      "tagline": "Turn raw text, media, and documents into usable intelligence.",
      "icon": "/datalake-icons/domains/09-unstructmesh-unstructured.svg",
      "endpoint": "/v1/deeplake",
      "refreshCadence": "Document-driven refresh",
      "summary": "Handles documents, reports, transcripts, long text, images, and raw files that need extraction before they can answer business questions.",
      "sourceModel": [
        "Reports",
        "transcripts",
        "PDFs",
        "public archives"
      ],
      "useCases": [
        "Document intelligence",
        "research extraction",
        "source summarization"
      ],
      "dataPanels": [
        {
          "id": "domain-deeplake-1",
          "mark": "9.",
          "title": "Unstructured Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "20",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/deeplake",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Document-driven refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Document intelligence",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "flexschema",
      "name": "FlexSchema API",
      "title": "FlexSchema API",
      "number": 10,
      "domain": "Semi-Structured Data",
      "tagline": "JSON, XML, logs, and feeds without chaos.",
      "icon": "/datalake-icons/domains/10-semistruct-semi-structured.svg",
      "endpoint": "/v1/flexschema",
      "refreshCadence": "Webhook and batch refresh",
      "summary": "Organizes semi-structured formats such as JSON, XML, logs, emails, and API payloads while keeping their native flexibility.",
      "sourceModel": [
        "JSON APIs",
        "XML feeds",
        "logs",
        "webhooks"
      ],
      "useCases": [
        "API ingestion",
        "log enrichment",
        "schema harmonization"
      ],
      "dataPanels": [
        {
          "id": "domain-flexschema-1",
          "mark": "10.",
          "title": "Semi-Structured Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "15",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/flexschema",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Webhook and batch refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "API ingestion",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "geovault",
      "name": "GeoVault API",
      "title": "GeoVault API",
      "number": 11,
      "domain": "Geospatial Data",
      "tagline": "Location intelligence with a clean coordinate trail.",
      "icon": "/datalake-icons/domains/11-geovault-geospatial.svg",
      "endpoint": "/v1/geovault",
      "refreshCadence": "Tile and provider cadence",
      "summary": "Supports coordinates, boundaries, tiles, satellite layers, distance measures, and map-ready features for spatial products.",
      "sourceModel": [
        "Satellite providers",
        "mapping systems",
        "public boundaries",
        "earth observation sources"
      ],
      "useCases": [
        "Market mapping",
        "risk geography",
        "spatial dashboards"
      ],
      "dataPanels": [
        {
          "id": "domain-geovault-1",
          "mark": "11.",
          "title": "Geospatial Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "19",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/geovault",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Tile and provider cadence",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Market mapping",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "temporallens",
      "name": "TemporalLens API",
      "title": "TemporalLens API",
      "number": 12,
      "domain": "Temporal Data",
      "tagline": "Time is the structure, not an afterthought.",
      "icon": "/datalake-icons/domains/12-temporallens-temporal.svg",
      "endpoint": "/v1/temporallens",
      "refreshCadence": "Rolling and historical refresh",
      "summary": "Serves time series, event timelines, snapshots, histories, and schedules where sequence and timing carry the meaning.",
      "sourceModel": [
        "Time series feeds",
        "event histories",
        "calendar sources",
        "financial statements"
      ],
      "useCases": [
        "Time-machine views",
        "trend comparison",
        "event sequencing"
      ],
      "dataPanels": [
        {
          "id": "domain-temporallens-1",
          "mark": "12.",
          "title": "Temporal Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "21",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/temporallens",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Rolling and historical refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Time-machine views",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "lexicore",
      "name": "LexiCore API",
      "title": "LexiCore API",
      "number": 13,
      "domain": "Textual Data",
      "tagline": "Language data ready for search, extraction, and insight.",
      "icon": "/datalake-icons/domains/13-lexicore-textual.svg",
      "endpoint": "/v1/lexicore",
      "refreshCadence": "Crawl and document refresh",
      "summary": "Processes articles, filings, posts, transcripts, reports, and web text with entity, topic, and sentiment extraction paths.",
      "sourceModel": [
        "News archives",
        "filings",
        "web pages",
        "research literature"
      ],
      "useCases": [
        "Search products",
        "sentiment reads",
        "entity extraction"
      ],
      "dataPanels": [
        {
          "id": "domain-lexicore-1",
          "mark": "13.",
          "title": "Textual Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "17",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/lexicore",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Crawl and document refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Search products",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "sonicmesh",
      "name": "SonicMesh API",
      "title": "SonicMesh API",
      "number": 14,
      "domain": "Audio Data",
      "tagline": "Audio intelligence from speech to signal.",
      "icon": "/datalake-icons/domains/14-sonicmesh-audio.svg",
      "endpoint": "/v1/sonicmesh",
      "refreshCadence": "File and stream refresh",
      "summary": "Supports speech, calls, podcasts, field recordings, acoustic signatures, and audio metadata for searchable products.",
      "sourceModel": [
        "Podcasts",
        "call recordings",
        "public audio archives",
        "field sensors"
      ],
      "useCases": [
        "Transcription products",
        "speech search",
        "audio classification"
      ],
      "dataPanels": [
        {
          "id": "domain-sonicmesh-1",
          "mark": "14.",
          "title": "Audio Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "10",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/sonicmesh",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "File and stream refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Transcription products",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "pixelforge",
      "name": "PixelForge API",
      "title": "PixelForge API",
      "number": 15,
      "domain": "Visual/Image Data",
      "tagline": "Image data prepared for search, detection, and context.",
      "icon": "/datalake-icons/domains/15-pixelforge-visual.svg",
      "endpoint": "/v1/pixelforge",
      "refreshCadence": "Asset and archive refresh",
      "summary": "Classifies images, scans visual archives, supports detection workflows, and connects image evidence to metadata and source context.",
      "sourceModel": [
        "Image archives",
        "satellite scenes",
        "product imagery",
        "public visual records"
      ],
      "useCases": [
        "Visual search",
        "object detection",
        "image enrichment"
      ],
      "dataPanels": [
        {
          "id": "domain-pixelforge-1",
          "mark": "15.",
          "title": "Visual/Image Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "13",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/pixelforge",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Asset and archive refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Visual search",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "frameflow",
      "name": "FrameFlow API",
      "title": "FrameFlow API",
      "number": 16,
      "domain": "Video Data",
      "tagline": "Video broken into useful signals.",
      "icon": "/datalake-icons/domains/16-framesync-video.svg",
      "endpoint": "/v1/frameflow",
      "refreshCadence": "Frame and transcript refresh",
      "summary": "Turns video into frames, transcripts, scenes, entities, and searchable metadata for monitoring, archives, and product workflows.",
      "sourceModel": [
        "Video archives",
        "streams",
        "webinars",
        "public media libraries"
      ],
      "useCases": [
        "Scene search",
        "video summarization",
        "media monitoring"
      ],
      "dataPanels": [
        {
          "id": "domain-frameflow-1",
          "mark": "16.",
          "title": "Video Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "11",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/frameflow",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Frame and transcript refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Scene search",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "sensorgrid",
      "name": "SensorGrid API",
      "title": "SensorGrid API",
      "number": 17,
      "domain": "Sensor and IoT Data",
      "tagline": "Machine signals made operational.",
      "icon": "/datalake-icons/domains/17-sensorgrid-iot.svg",
      "endpoint": "/v1/sensorgrid",
      "refreshCadence": "Streaming and device cadence",
      "summary": "Captures readings from devices, telemetry systems, infrastructure sensors, and IoT networks with uptime and calibration context.",
      "sourceModel": [
        "IoT networks",
        "industrial telemetry",
        "weather stations",
        "infrastructure sensors"
      ],
      "useCases": [
        "Operations monitoring",
        "anomaly detection",
        "real-time dashboards"
      ],
      "dataPanels": [
        {
          "id": "domain-sensorgrid-1",
          "mark": "17.",
          "title": "Sensor and IoT Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "18",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/sensorgrid",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Streaming and device cadence",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Operations monitoring",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "ledgerstream",
      "name": "LedgerStream API",
      "title": "LedgerStream API",
      "number": 18,
      "domain": "Transactional Data",
      "tagline": "The event trail behind money, movement, and exchange.",
      "icon": "/datalake-icons/domains/18-ledgerstream-transactional.svg",
      "endpoint": "/v1/ledgerstream",
      "refreshCadence": "Event and ledger refresh",
      "summary": "Organizes purchases, transfers, payments, trades, ledger entries, and exchange events into auditable transaction intelligence.",
      "sourceModel": [
        "Payment ledgers",
        "commerce systems",
        "market trades",
        "blockchain records"
      ],
      "useCases": [
        "Transaction monitoring",
        "liquidity analysis",
        "audit trails"
      ],
      "dataPanels": [
        {
          "id": "domain-ledgerstream-1",
          "mark": "18.",
          "title": "Transactional Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "20",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/ledgerstream",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Event and ledger refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Transaction monitoring",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "behaviorgraph",
      "name": "BehaviorGraph API",
      "title": "BehaviorGraph API",
      "number": 19,
      "domain": "Behavioral Data",
      "tagline": "Patterns, journeys, and intent signals.",
      "icon": "/datalake-icons/domains/19-behaviorpulse-behavioral.svg",
      "endpoint": "/v1/behaviorgraph",
      "refreshCadence": "Event and cohort refresh",
      "summary": "Maps user events, sessions, journeys, adoption signals, churn markers, and behavioral sequences with privacy-aware structure.",
      "sourceModel": [
        "Product analytics",
        "session events",
        "journey logs",
        "support touchpoints"
      ],
      "useCases": [
        "Retention analysis",
        "conversion insights",
        "product intelligence"
      ],
      "dataPanels": [
        {
          "id": "domain-behaviorgraph-1",
          "mark": "19.",
          "title": "Behavioral Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "12",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/behaviorgraph",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Event and cohort refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Retention analysis",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "biostream",
      "name": "BioStream API",
      "title": "BioStream API",
      "number": 20,
      "domain": "Biometric Data",
      "tagline": "Sensitive signals handled with controlled access.",
      "icon": "/datalake-icons/domains/20-biostream-biometric.svg",
      "endpoint": "/v1/biostream",
      "refreshCadence": "Consent-gated refresh",
      "summary": "Structures biometric, wellness, physiological, and identity-adjacent signals with privacy, consent, and access-control requirements kept visible.",
      "sourceModel": [
        "Wearables",
        "health devices",
        "identity systems",
        "wellness platforms"
      ],
      "useCases": [
        "Authorized wellness insights",
        "identity-adjacent verification",
        "research controls"
      ],
      "dataPanels": [
        {
          "id": "domain-biostream-1",
          "mark": "20.",
          "title": "Biometric Data",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "6",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/biostream",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Consent-gated refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Authorized wellness insights",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "metacore",
      "name": "MetaCore API",
      "title": "MetaCore API",
      "number": 21,
      "domain": "Metadata",
      "tagline": "The context layer that makes the rest defensible.",
      "icon": "/datalake-icons/domains/21-metalayer-metadata.svg",
      "endpoint": "/v1/metacore",
      "refreshCadence": "Always-on catalog refresh",
      "summary": "Tracks provenance, lineage, schema notes, licenses, update timing, confidence, and source context across every data product.",
      "sourceModel": [
        "Catalog systems",
        "lineage records",
        "license registries",
        "schema manifests"
      ],
      "useCases": [
        "Governance",
        "auditability",
        "source trust scoring"
      ],
      "dataPanels": [
        {
          "id": "domain-metacore-1",
          "mark": "21.",
          "title": "Metadata",
          "cite": "Agentic Data Source domain API blueprint",
          "rows": [
            {
              "label": "Planned connector classes",
              "reel": {
                "anchorValue": "24",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Connector classes modeled for this product blueprint; this is not a live ingestion count."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/metacore",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Refresh posture",
              "value": "Always-on catalog refresh",
              "tone": "",
              "tip": ""
            },
            {
              "label": "Customer outcome",
              "value": "Governance",
              "tone": "emerald",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    }
  ],
  "intelligenceApis": [
    {
      "slug": "omniquery",
      "name": "OmniQuery API",
      "title": "OmniQuery API",
      "number": 22,
      "functionLabel": "Universal Cross-Domain Search",
      "tagline": "One query across every mapped data lane.",
      "icon": "/datalake-icons/cross-domain/omniquery.svg",
      "endpoint": "/v1/omniquery",
      "summary": "Searches structured records, documents, metadata, timelines, locations, filings, imagery, and source cards from one customer-facing query layer.",
      "useCases": [
        "Executive source search",
        "multi-source research",
        "customer-facing answer products"
      ],
      "dataPanels": [
        {
          "id": "intelligence-omniquery-1",
          "mark": "22.",
          "title": "Universal Cross-Domain Search",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "27",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/omniquery",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Executive source search",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "Universal Cross-Domain Search",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "predictivecore",
      "name": "PredictiveCore API",
      "title": "PredictiveCore API",
      "number": 23,
      "functionLabel": "AI Prediction Engine",
      "tagline": "Forecast the next move without hiding the inputs.",
      "icon": "/datalake-icons/cross-domain/predictivecore.svg",
      "endpoint": "/v1/predictivecore",
      "summary": "Combines temporal, transactional, behavioral, and market signals to support forecasting with explainable drivers and confidence bands.",
      "useCases": [
        "Forecast dashboards",
        "risk projections",
        "demand and liquidity modeling"
      ],
      "dataPanels": [
        {
          "id": "intelligence-predictivecore-1",
          "mark": "23.",
          "title": "AI Prediction Engine",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "22",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/predictivecore",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Forecast dashboards",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "AI Prediction Engine",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "fusionengine",
      "name": "FusionEngine API",
      "title": "FusionEngine API",
      "number": 24,
      "functionLabel": "Multi-Domain Data Fusion",
      "tagline": "Join data that was never designed to sit together.",
      "icon": "/datalake-icons/cross-domain/fusionengine.svg",
      "endpoint": "/v1/fusionengine",
      "summary": "Normalizes identifiers, timelines, schemas, and locations so teams can connect multiple data classes into one operating view.",
      "useCases": [
        "Entity resolution",
        "cross-source joins",
        "product data assembly"
      ],
      "dataPanels": [
        {
          "id": "intelligence-fusionengine-1",
          "mark": "24.",
          "title": "Multi-Domain Data Fusion",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "24",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/fusionengine",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Entity resolution",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "Multi-Domain Data Fusion",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "insightweave",
      "name": "InsightWeave API",
      "title": "InsightWeave API",
      "number": 25,
      "functionLabel": "Cross-Domain Analytics",
      "tagline": "Narrative intelligence grounded in the data trail.",
      "icon": "/datalake-icons/cross-domain/insightweave.svg",
      "endpoint": "/v1/insightweave",
      "summary": "Turns multi-source results into concise insight blocks, comparison tables, and explainable business summaries for customer workflows.",
      "useCases": [
        "Board-ready briefs",
        "customer reports",
        "analyst workflow acceleration"
      ],
      "dataPanels": [
        {
          "id": "intelligence-insightweave-1",
          "mark": "25.",
          "title": "Cross-Domain Analytics",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "18",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/insightweave",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Board-ready briefs",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "Cross-Domain Analytics",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "cortexlink",
      "name": "CortexLink API",
      "title": "CortexLink API",
      "number": 26,
      "functionLabel": "AI Brain Direct Interface",
      "tagline": "A governed interface for agentic workflows.",
      "icon": "/datalake-icons/cross-domain/cortexlink.svg",
      "endpoint": "/v1/cortexlink",
      "summary": "Provides controlled access to retrieval, reasoning, tool routing, and data memory patterns for products that need an AI operating layer.",
      "useCases": [
        "Agentic applications",
        "retrieval workflows",
        "controlled data reasoning"
      ],
      "dataPanels": [
        {
          "id": "intelligence-cortexlink-1",
          "mark": "26.",
          "title": "AI Brain Direct Interface",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "16",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "emerald",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/cortexlink",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Agentic applications",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "AI Brain Direct Interface",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    },
    {
      "slug": "anomalynet",
      "name": "AnomalyNet API",
      "title": "AnomalyNet API",
      "number": 27,
      "functionLabel": "Global Anomaly Detection",
      "tagline": "Find the break before it becomes the headline.",
      "icon": "/datalake-icons/cross-domain/anomalynet.svg",
      "endpoint": "/v1/anomalynet",
      "summary": "Detects unusual movement across time series, transactions, behavior, sensors, markets, and source updates with confidence and context.",
      "useCases": [
        "Risk monitoring",
        "fraud and signal detection",
        "market and operations alerts"
      ],
      "dataPanels": [
        {
          "id": "intelligence-anomalynet-1",
          "mark": "27.",
          "title": "Global Anomaly Detection",
          "cite": "Agentic Data Source cross-domain intelligence layer",
          "rows": [
            {
              "label": "Planned domain connectors",
              "reel": {
                "anchorValue": "21",
                "anchorTime": "2026-04-21T00:00:00Z",
                "perSecond": "0",
                "prefix": "",
                "color": "crimson",
                "size": "big"
              },
              "tip": "Domain connector classes modeled for this intelligence blueprint."
            },
            {
              "label": "Planned endpoint",
              "value": "/v1/anomalynet",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Availability",
              "value": "Founding pilot waitlist",
              "tone": "crimson",
              "tip": ""
            },
            {
              "label": "Best customer use",
              "value": "Risk monitoring",
              "tone": "emerald",
              "tip": ""
            },
            {
              "label": "Operating role",
              "value": "Global Anomaly Detection",
              "tone": "",
              "tip": ""
            }
          ],
          "span": "span-6"
        }
      ]
    }
  ]
}