| What it does | AI accountability that grows into governance
| Amazon data and action layer for any AI
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | US
| US
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| Pricing model | Not given
| Free trial
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| Pricing | Not given
| $97 per month after a 14-day free trial. Includes 2,000 AI tokens per month (4,000 for the first 3 months), 10,000,000 data rows, one seat, unlimited Seller Central, Vendor Central and Amazon Ads connections, MCP, REST API, BigQuery access, and write-back Actions. Add-ons: +$49 per 10M data rows, +$
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| Key features | - Governance: checks proposed AI actions against defined rules before execution
- Recorded decision records that can be reviewed, replayed and verified later
- Evaluation: compares AI agent performance using representative test cases and expected outcomes
- Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
- Regress detection identifies changed action paths and quality regressions
- On-premises and private cloud deployment
- Integration with existing AI tools via connectors and wrappers
- No model training on customer data; separate data boundaries from external AI providers
- Cost comparison and optimization across model and cache configurations
| - MCP and REST API access to 130+ Amazon tables
- Connect to any AI including Claude, ChatGPT, Gemini, Cursor
- Write-back Actions to update listings, prices, bids and orders
- BigQuery integration for custom queries and BI tools
- Unified data from Seller Central, Vendor Central and Amazon Ads
- About two years of historical data backfilled
- Amazon-approved for buyer PII handling
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| What makes it different | - Independent accountability: checks run inside your systems, not asking another AI to audit AI
- Your people keep authority: Forge produces decision evidence, your business enforces results
- Recorded decision evidence that auditors and regulators can examine
- Designed for consequential work in regulated industries like financial services
- Not another dashboard: integrates into your workflow without replacing your AI tools
| - Single normalized schema joining Seller, Vendor and Ads data
- Retains data history longer than Amazon's API windows
- Lower AI token consumption than Amazon's own MCP
- Writes off by default with optional dry-run preview
- No per-account billing for unlimited Seller, Vendor and Ads connections
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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) | Not checked yet ● no change since last check | 23 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 0 | 16 |
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| Citation Flow (Majestic) | 7 | 38 |
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| Referring domains (Majestic) | 22 | 124 |
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Forge Orbital
DataDoe