| What it does | Amazon data and action layer for any AI
| The continual learning engine for AI agents
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| Stage | Startup
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| Founded | 2025
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| Based in | US
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| Pricing model | Free trial
| Freemium
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| Pricing | $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: +$49 per 10M data rows, +$
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - 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
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| What makes it different | - 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
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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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 |
| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | 23 ● no change since last check |
| Trust Flow (Majestic) | 16 | 13 |
| Citation Flow (Majestic) | 38 | 25 |
| Referring domains (Majestic) | 124 | 79 |