| What it does | A marketplace to discover, run, and publish AI agents
| Semantic context layer that helps AI agents understand your business data accurately
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | TR
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| Pricing model | Paid
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| Pricing | Starter Credits Pack: $5 one-time payment (100 credits, approximately 50 agent runs). Middle Credits Pack: $15 one-time payment (300 credits, approximately 150 agent runs). High Credits Pack: $45 one-time payment (900 credits, approximately 450 agent runs). New accounts receive 50 free credits.
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| Key features | - Browse and discover AI agents from a curated marketplace
- Run agents without coding or technical setup
- Create and publish agents using a visual interface
- One-time credit purchases with no monthly subscriptions
- Free agent publishing with fees only on actual usage
- Agents for marketing, development, research, and productivity tasks
- Sandboxed environment for secure data handling
| - 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
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| What makes it different | - Single marketplace eliminates hunting across multiple sites for AI agents
- One-time purchases instead of subscriptions reduce friction and simplify access
- Transparent and predictable fee structure designed for creator profitability
- Agents that take actions and complete multi-step tasks, not just chat
- Supports both non-developers and developers with flexible interface options
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | 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) | 2 ● no change since last check | 8 ● no change since last check |
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| Trust Flow (Majestic) | 8 | 1 |
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| Citation Flow (Majestic) | 24 | 24 |
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| Referring domains (Majestic) | 15 | 29 |
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caywork
Kanlet