| What it does | Semantic context layer that helps AI agents understand your business data accurately
| Decision-input integrity for AI agents and oracle risk intelligence
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| Stage | MVP
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| Freemium
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| Pricing | Not given
| Free: 100 trial credits after email verification. Paid plans: Developer $209.92/month (2,519 USDC annually) with 60,000 credits/month; Team $1007.42/month (12,089 USDC annually) with 300,000 credits/month; Scale $3207.42/month (38,489 USDC annually) with 1,000,000 credits/month; Enterprise custom pr
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| 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
| - Multi-source oracle price comparison across 10 providers
- Cross-chain coverage across EVM, Solana and Cosmos chains
- 15-minute price snapshots with on-demand verification
- Pre-trade assessment for proposed trades, loans, and actions
- EIP-712 signed portable proofs and attestations
- Position stress testing against protocol thresholds
- Oracle Watch monitoring for changing conditions
- REST API, AI/MCP, and Guard SDK integration paths
- Batch query priority queue for teams and high-volume applications
- 90-day historical snapshots and reliability rankings
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| 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
| - Evidence that travels with the decision through signed portable proofs
- Explainable assessments showing oracle source, agreement, and freshness before execution
- Pay only for evidence your system actually uses via per-call credit metering
- One credit wallet across all endpoints without feature gates
- Machine-native x402 protocol for autonomous agents to discover and pay per check
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| Free plan | Not given
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| Open source | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 9 ▲ +1 (up) since last check | 3 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 2 |
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| Citation Flow (Majestic) | 24 | 25 |
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| Referring domains (Majestic) | 29 | 22 |
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Kanlet
Insight