Semantic context layer that helps AI agents understand your business data accurately
A paid stream of geo-tagged news for AI agents, with stories divided into distinct viewpoints
Stage
MVP
Not given
Founded
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Based in
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Pricing model
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Freemium
Pricing
Not given
Free: 100 calls over 7 days with API key. Paid: $0.02 per alpha event, $0.01 per quorum event, $0.005 per news event. Prepaid credits or monthly plan via credit card or PayPal. x402: USDC payment on Base, Polygon or Arbitrum.
Key features
Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
Provides Web-UI, MCP server and REST APIs for accessing semantic context
Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
Role-level access controls and data classifications including PII, PHI and SPII
Only reads metadata without accessing or moving actual data from systems
Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
Viewpoint counts for each story
Filter by country or geohash map cell
Free API catalog
Custom news agent creation
USDC payment option
Credit card and PayPal payments
What makes it different
Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
Ensures consistent answers across all agents and teams using the same definitions and business logic
Provides complete traceability and auditability of AI decisions with documented context and ownership
The only API providing quorums that divide stories into distinct viewpoints with support counts
Alpha feed delivers signals ahead of the wider press
Geo-filtered news by location or geohash precision
Kanlet
Quorumz for agents