One API key to access 180+ leading AI models at 30-70% lower pricing
Semantic context layer that helps AI agents understand your business data accurately
Stage
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MVP
Founded
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Based in
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Pricing model
Paid
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Pricing
Pay-as-you-go credits at $0.004545 per credit. Image models from $0.001 per image. Video models from $0.005 per second. Text models priced per 1M tokens, with examples: GPT-6 Luna input $0.055 per 1M tokens, output $0.250 per 1M tokens. Music generation with Suno available. Exact pricing varies by m
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Key features
Access 180+ AI models through a single API key
Pricing 30-70% lower than official providers
Drop-in replacement: swap baseURL and key, no code rewrite required
Official SDKs for rapid integration
99%+ success rate with live 24-hour monitoring
Async job pipeline with webhook callbacks
Enterprise-grade security with no data training
24/7 human support with real engineers
Free trial with 50 credits on signup
Open-source SDKs and workflow tools
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
What makes it different
Single API key and unified request schema for 180+ models from multiple providers
Minimal migration effort with drop-in compatibility requiring only baseURL and key changes
Real-time monitoring and transparency with 24-hour success rates displayed per model
No data retention or model training on user prompts and outputs
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
ApiPass
Kanlet