{ "categories": [ { "slug": "ai-and-model-intelligence", "title": "AI and Model Intelligence", "summary": "A discovery lane for model releases, benchmark movement, public eval tables, model-hub updates, and the provider feeds that matter when you are sourcing AI information quickly.", "focusPoints": [ "Model directories and release tracking", "Benchmark movement and eval coverage", "Inference endpoint availability and pricing" ], "sources": [ "Hugging Face Hub API", "GitHub Platform API", "OpenAlex API" ], "dataPanels": [ { "id": "cat-ai-1", "mark": "I.", "title": "Discovery Density", "cite": "Current model-source catalog", "rows": [ { "label": "Model cards", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Eval tables", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Best entry point", "value": "Hugging Face Hub API", "tone": "emerald", "tip": "" }, { "label": "Commercial use", "value": "Model scouting and monitoring", "tone": "", "tip": "" } ], "span": "span-6" }, { "id": "cat-ai-2", "mark": "II.", "title": "What customers use this for", "cite": "Use-case layer", "rows": [ { "label": "Research teams", "value": "Provider comparison and release tracking", "tone": "emerald", "tip": "" }, { "label": "Product teams", "value": "Sourcing model inputs for customer workflows", "tone": "", "tip": "" }, { "label": "Commercial teams", "value": "Watching pricing, capability, and launch velocity", "tone": "", "tip": "" } ], "span": "span-6" } ] }, { "slug": "cloud-and-infrastructure", "title": "Cloud and Infrastructure", "summary": "A focused lane for public price books, regional status systems, service availability, and the infrastructure metadata customers need when vendor comparisons have to move fast.", "focusPoints": [ "Public price and service change tracking", "Latency zone and regional availability monitoring", "Capacity and accelerator supply watchpoints" ], "sources": [ "GitHub Platform API", "Vendor status feeds", "Public pricing endpoints" ], "dataPanels": [ { "id": "cat-cloud-1", "mark": "I.", "title": "Coverage", "cite": "Infrastructure catalog", "rows": [ { "label": "Cloud SKU observations", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Regional status zones", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Top use case", "value": "Vendor comparison", "tone": "emerald", "tip": "" }, { "label": "Top risk lane", "value": "GPU scarcity", "tone": "crimson", "tip": "" } ], "span": "span-6" } ] }, { "slug": "cybersecurity-and-risk-telemetry", "title": "Cybersecurity and Risk Telemetry", "summary": "A public-source watch layer for disclosed vulnerabilities, incident bulletins, infrastructure advisories, and the data sources that help customers stay current without paying for every feed on day one.", "focusPoints": [ "Vulnerability bulletins and advisory feeds", "Threat, incident, and outage disclosures", "Provider and government risk source mapping" ], "sources": [ "Government advisories", "Vendor disclosure feeds", "Open registries" ], "dataPanels": [ { "id": "cat-cyber-1", "mark": "I.", "title": "Risk Signals", "cite": "Public risk-watch coverage", "rows": [ { "label": "Advisory streams", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Named issue entries", "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": "Source consolidation", "tone": "emerald", "tip": "" }, { "label": "Priority action", "value": "Match source to operational need", "tone": "", "tip": "" } ], "span": "span-6" } ] }, { "slug": "geospatial-and-climate-data", "title": "Geospatial and Climate Data", "summary": "A discovery lane for satellite imagery APIs, weather and climate data, public map layers, and the source pages that matter when customers need earth observation in a form they can actually use.", "focusPoints": [ "Satellite and earth-observation feeds", "Climate and weather APIs", "Map layers, tiles, and public spatial datasets" ], "sources": [ "NASA Open API Stack", "NOAA Climate Data API" ], "dataPanels": [ { "id": "cat-geo-1", "mark": "I.", "title": "Coverage", "cite": "Earth and climate source layer", "rows": [ { "label": "Climate and geospatial tiles", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Public weather endpoints", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Strongest customer use", "value": "Monitoring and visualization", "tone": "emerald", "tip": "" }, { "label": "Best source pair", "value": "NASA + NOAA", "tone": "", "tip": "" } ], "span": "span-6" } ] } ], "datasets": [ { "slug": "model-benchmark-ledger", "title": "Model Benchmark Ledger", "summary": "A customer-facing page for benchmark families, evaluation sets, and the source lanes that shape the competitive AI conversation.", "why": "Benchmarks drive the story customers hear about models, but the benchmark trail is often scattered. This page keeps the inputs and sources visible together.", "signals": [ "Eval-set coverage", "Benchmark freshness", "Provider benchmark references" ], "sources": [ "Hugging Face Hub API", "GitHub Platform API", "OpenAlex API" ], "dataPanels": [ { "id": "ds-bench-1", "mark": "I.", "title": "Benchmark Layer", "cite": "Public eval catalog", "rows": [ { "label": "Benchmark rows tracked", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Top use case", "value": "Model comparison", "tone": "emerald", "tip": "" }, { "label": "Primary source family", "value": "Hub APIs and public papers", "tone": "", "tip": "" } ], "span": "span-6" } ] }, { "slug": "cloud-price-tracker", "title": "Cloud Price Tracker", "summary": "A pricing and packaging comparison page for public cloud information, SKU movement, and the source feeds that change customer decisions fastest.", "why": "Cloud pricing is hard to compare when each vendor publishes differently. This page narrows the search and keeps the source trail explicit.", "signals": [ "SKU changes", "Regional deltas", "Packaging and service changes" ], "sources": [ "Public pricing endpoints", "Vendor status feeds" ], "dataPanels": [ { "id": "ds-cloud-1", "mark": "I.", "title": "Price Observation Layer", "cite": "Public pricing surface", "rows": [ { "label": "SKU observations", "value": "Modeled scope", "tone": "emerald", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Top use case", "value": "Vendor comparison", "tone": "emerald", "tip": "" }, { "label": "Most watched shift", "value": "Accelerator pricing", "tone": "crimson", "tip": "" } ], "span": "span-6" } ] }, { "slug": "public-filing-monitor", "title": "Public Filing Monitor", "summary": "A filing-oriented page that helps customers move from public-company narratives back to the reported document set behind them.", "why": "When the story matters, the filing matters. This page keeps the reported record close to the claims customers are trying to verify.", "signals": [ "Filing arrivals", "Document types", "Reported risk and capital changes" ], "sources": [ "SEC EDGAR API" ], "dataPanels": [ { "id": "ds-filings-1", "mark": "I.", "title": "Document Coverage", "cite": "EDGAR and registry layer", "rows": [ { "label": "Filing entries", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Best use case", "value": "Verify commentary against filings", "tone": "emerald", "tip": "" }, { "label": "Best companion page", "value": "/trend/api-monetization-shift/", "tone": "", "tip": "" } ], "span": "span-6" } ] }, { "slug": "earth-observation-discovery-board", "title": "Earth Observation Discovery Board", "summary": "A page for customers who want public imagery, climate signals, map layers, and scientific feeds without wasting time on disconnected source portals.", "why": "Imagery and climate data often live in separate ecosystems. This page is meant to shorten that gap.", "signals": [ "Imagery catalogs", "Tile access points", "Observation cadence" ], "sources": [ "NASA Open API Stack", "NOAA Climate Data API" ], "dataPanels": [ { "id": "ds-earth-1", "mark": "I.", "title": "Observation Layer", "cite": "Climate and imagery coverage", "rows": [ { "label": "Tile observations", "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": "Monitoring and visualization", "tone": "emerald", "tip": "" }, { "label": "Best source pair", "value": "NASA + NOAA", "tone": "", "tip": "" } ], "span": "span-6" } ] } ], "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" } ] } ], "trends": [ { "slug": "model-release-velocity", "title": "Model Release Velocity", "summary": "A trend page for customers who want to understand whether the visible model market is accelerating, consolidating, or simply getting noisier.", "highlights": [ "Launch cadence matters as much as benchmark headlines.", "Hub, GitHub, and benchmark sources need to be read together.", "Velocity without comparison context creates bad sourcing decisions." ], "sources": [ "Hugging Face Hub API", "GitHub Platform API" ], "dataPanels": [ { "id": "trend-model-1", "mark": "I.", "title": "Release Pace", "cite": "Current monitoring layer", "rows": [ { "label": "Tracked release notes", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Signal to watch", "value": "Launch cadence vs. benchmark durability", "tone": "emerald", "tip": "" } ], "span": "span-6" } ] }, { "slug": "api-monetization-shift", "title": "API Monetization Shift", "summary": "A customer-facing read on where public or low-cost API access is narrowing, widening, or moving into more commercial packaging.", "highlights": [ "Pricing change alerts deserve as much attention as new endpoints.", "A reliable source trail protects customers from stale assumptions.", "Cataloging access changes is part of product risk management." ], "sources": [ "Public pricing endpoints", "Provider documentation" ], "dataPanels": [ { "id": "trend-api-1", "mark": "I.", "title": "Commercial Pressure", "cite": "Access and price tracking", "rows": [ { "label": "Pricing watchpoints", "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": "Budgeting and vendor risk", "tone": "emerald", "tip": "" } ], "span": "span-6" } ] }, { "slug": "gpu-and-accelerator-bottlenecks", "title": "GPU and Accelerator Bottlenecks", "summary": "A trend page for customers who want a cleaner read on supply pressure, capacity talk, and the source signals behind the accelerator narrative.", "highlights": [ "Supply narratives move fast and often outrun the reported facts.", "Pricing and capacity signals need to be read alongside vendor and filing data.", "Public data still offers strong early warning value." ], "sources": [ "Public pricing endpoints", "SEC EDGAR API" ], "dataPanels": [ { "id": "trend-gpu-1", "mark": "I.", "title": "Capacity Stress", "cite": "Supply and pricing watch", "rows": [ { "label": "Capacity watch items", "value": "Modeled scope", "tone": "crimson", "tip": "Conceptual catalog coverage. No operational count is claimed until a verified ingestion ledger is published." }, { "label": "Top customer use", "value": "Procurement planning", "tone": "emerald", "tip": "" } ], "span": "span-6" } ] }, { "slug": "open-source-maintainer-strain", "title": "Open Source Maintainer Strain", "summary": "A trend page that helps customers see whether the public projects they rely on still show healthy release, issue, and maintenance signals.", "highlights": [ "Repository activity alone is not enough.", "Issue response and release movement say more than a star count.", "Customers need healthy-maintainer signals before they build dependencies around a project." ], "sources": [ "GitHub Platform API" ], "dataPanels": [ { "id": "trend-os-1", "mark": "I.", "title": "Maintenance Layer", "cite": "Open-source health signals", "rows": [ { "label": "Projects watched", "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": "Dependency due diligence", "tone": "emerald", "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" } ] } ], "portalFeatures": [ { "slug": "catalog", "title": "API Catalog", "icon": "/datalake-icons/ui/docs.svg", "summary": "Available now: browse every domain blueprint, cross-domain intelligence concept, source note, and intended customer use from one clean catalog." }, { "slug": "playground", "title": "Query Playground", "icon": "/datalake-icons/ui/dashboard.svg", "summary": "Pilot roadmap: test prompts, filters, and example payloads before a team spends engineering time on integration." }, { "slug": "keys", "title": "Key Management", "icon": "/datalake-icons/ui/api-key.svg", "summary": "Pilot roadmap: issue API keys, set usage controls, rotate access, and keep customer environments separated." }, { "slug": "security", "title": "Security Controls", "icon": "/datalake-icons/ui/security.svg", "summary": "Pilot roadmap: support allowlisting, audit logs, rate limits, usage reviews, and governed access controls." }, { "slug": "status", "title": "Status and Latency", "icon": "/datalake-icons/ui/speed.svg", "summary": "Pilot roadmap: publish uptime, latency, throughput, and incident signals before production access opens." }, { "slug": "deployment", "title": "Deployment Support", "icon": "/datalake-icons/ui/deploy.svg", "summary": "Pilot roadmap: move design partners toward production with integration notes, SDK direction, and support paths." } ], "pricingTiers": [ { "slug": "free", "title": "Public Catalog", "price": "Available now", "summary": "A no-cost evaluation path for builders who need to inspect the catalog, public JSON exports, and product fit before joining a pilot.", "includes": [ "Catalog access", "Public JSON exports", "Source cards", "Methodology and contact support" ] }, { "slug": "starter", "title": "Founding Access", "price": "Waitlist", "summary": "For small teams that want to help shape the first working API lane and validate a concrete integration use case.", "includes": [ "Pilot review", "Use-case discovery", "Planned sample access", "Email support" ] }, { "slug": "professional", "title": "Professional", "price": "Pilot waitlist", "summary": "For operators preparing deeper throughput, multiple API lanes, production exports, and customer-facing data coverage after validation.", "includes": [ "Pilot scope review", "Cross-domain design session", "Public JSON exports", "Priority pilot communication" ] }, { "slug": "business", "title": "Business", "price": "Design partner", "summary": "For teams ready to co-design governed products, dashboards, and operating workflows around multiple source families.", "includes": [ "Design-partner review", "Architecture workshop", "Webhook planning", "Security requirements mapping" ] }, { "slug": "enterprise", "title": "Enterprise", "price": "By review", "summary": "For institutions evaluating private source packages, procurement requirements, licensing, and governed deployment.", "includes": [ "Requirements review", "Licensing discovery", "SLA planning", "Security review planning" ] } ], "acquisitionPillars": [ { "slug": "discover", "title": "Discover", "summary": "Identify official feeds, commercial datasets, partner sources, public archives, and hard-to-find data lanes before customers ask for them." }, { "slug": "evaluate", "title": "Evaluate", "summary": "Score coverage, freshness, licensing, reliability, cost, legal posture, and commercial value before any source earns placement." }, { "slug": "ingest", "title": "Ingest", "summary": "Move data through controlled ingestion paths that preserve structure, provenance, cadence, and transformation notes." }, { "slug": "validate", "title": "Validate", "summary": "Check completeness, schema stability, anomaly behavior, source drift, and customer usefulness before production use." }, { "slug": "enrich", "title": "Enrich", "summary": "Add entity matching, metadata, timestamps, geography, categories, lineage, and confidence so raw data becomes usable intelligence." }, { "slug": "serve", "title": "Serve", "summary": "Expose the right endpoint, export, dashboard, or intelligence layer with a clear path from customer question to trusted answer." } ] }