/data/metrics.json
Machine-readable definitions for domain APIs, intelligence APIs, categories, datasets, feeds, trends, portal features, and pricing tiers.
This is the cleanest place to inspect the machine-readable side of Agentic Data Source. Start with the exports, then move into the 21 domain APIs, 6 intelligence APIs, and customer portal tools that make the data usable.
Every product lane has a route, an endpoint name, and a customer outcome. The public pages explain the use case; the JSON exports give teams a simple way to inspect the build without scraping the website.
GET /v1/quantapoint
GET /v1/geovault
GET /v1/omniquery
GET /data/metrics.json
GET /data/datasource/manifest.json Machine-readable definitions for domain APIs, intelligence APIs, categories, datasets, feeds, trends, portal features, and pricing tiers.
The current feed and source catalog in one export.
A machine-readable index of routes and surface scope.
A compact discovery badge for articles, notes, and landing pages.
A simple guide for placing the badge on another page.
Captures countable events, binary counts, tagged observations, and finite-value snapshots where every point needs a clean identity.
Serves measurements that move across a continuum, including prices, temperatures, telemetry, rates, and scientific observations.
Handles values where the difference between points matters, including scored indicators, economic indexes, and normalized measurement series.
Supports ratio-scale values such as revenue, population, weights, volumes, and financial measures where proportional comparison is valid.
Maps named categories, entities, sectors, taxonomies, labels, and identity fields into queryable classification systems.
Works with ordered values, rankings, tiers, ratings, priority bands, and confidence levels without flattening them into false precision.
Captures true-false states, flags, switches, eligibility markers, alerts, and yes-no observations with traceable context.
Serves row-and-column data, official tables, normalized records, and relational source material that customers can query cleanly.
Handles documents, reports, transcripts, long text, images, and raw files that need extraction before they can answer business questions.
Organizes semi-structured formats such as JSON, XML, logs, emails, and API payloads while keeping their native flexibility.
Supports coordinates, boundaries, tiles, satellite layers, distance measures, and map-ready features for spatial products.
Serves time series, event timelines, snapshots, histories, and schedules where sequence and timing carry the meaning.
Processes articles, filings, posts, transcripts, reports, and web text with entity, topic, and sentiment extraction paths.
Supports speech, calls, podcasts, field recordings, acoustic signatures, and audio metadata for searchable products.
Classifies images, scans visual archives, supports detection workflows, and connects image evidence to metadata and source context.
Turns video into frames, transcripts, scenes, entities, and searchable metadata for monitoring, archives, and product workflows.
Captures readings from devices, telemetry systems, infrastructure sensors, and IoT networks with uptime and calibration context.
Organizes purchases, transfers, payments, trades, ledger entries, and exchange events into auditable transaction intelligence.
Maps user events, sessions, journeys, adoption signals, churn markers, and behavioral sequences with privacy-aware structure.
Structures biometric, wellness, physiological, and identity-adjacent signals with privacy, consent, and access-control requirements kept visible.
Tracks provenance, lineage, schema notes, licenses, update timing, confidence, and source context across every data product.
Searches structured records, documents, metadata, timelines, locations, filings, imagery, and source cards from one customer-facing query layer.
Combines temporal, transactional, behavioral, and market signals to support forecasting with explainable drivers and confidence bands.
Normalizes identifiers, timelines, schemas, and locations so teams can connect multiple data classes into one operating view.
Turns multi-source results into concise insight blocks, comparison tables, and explainable business summaries for customer workflows.
Provides controlled access to retrieval, reasoning, tool routing, and data memory patterns for products that need an AI operating layer.
Detects unusual movement across time series, transactions, behavior, sensors, markets, and source updates with confidence and context.
Browse every domain API, cross-domain intelligence product, endpoint family, source note, and customer use case from one clean catalog.
Test prompts, filters, endpoint calls, and example payloads before a team spends engineering time on integration.
Issue API keys, set usage controls, rotate access, and keep customer environments separated by clear authorization rules.
Support IP allowlisting, audit logs, rate limits, usage reviews, and enterprise-grade access controls as the platform scales.
Give customers visible uptime, latency, throughput, and incident signals so confidence is earned, not assumed.
Move from trial to production with guided integration notes, SDK direction, webhook patterns, and support paths.