| What it does | AI shopping agent readiness audit for e-commerce stores
| An API that verifies each RAG response against its sources
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| Stage | Not given
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| Founded | Not given
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| Based in | UA
| FR
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| Pricing model | Free
| Contact for pricing
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| Pricing | Free to scan stores and receive full reports with findings and fix lists
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| Key features | - Scans stores to check if AI shopping agents can find products
- Checks if agents can read prices, stock, delivery and returns as trusted text
- Tests if agents can reach payment step as a guest without obstacles
- Verifies order tracking and support access for agents
- Includes detailed fix list with effort estimates
- Runs 45 checks across 4 steps of agent journey
- Scans complete in about 5 minutes
- Allows comparing ready scores with up to two competitors
- Includes free consultation with Storewalk team
| - Response verification against source documents
- Confidence levels: certain, probable, or I don't know
- Nightly automatic improvements with proof
- REST API with coming Python and TypeScript SDKs
- LangChain and LlamaIndex integration support
- MCP server integration option
- Data hosted in Paris, Europe
- Full verification in French and English
- Graceful degradation if API fails
- User data never used for AI training
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| What makes it different | - Tests stores specifically for AI agent readiness, not generic web auditing
- Shows exact step where agents would stop in the purchase journey
- Includes free consultation to prioritize fixes
| - Honest "I don't know" instead of hallucinated answers
- Proven improvements: 31 out of 32 correct on sealed test set
- Drops in after your existing RAG: one API call only
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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 | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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Storewalk
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