| What it does | Open-source AI security verification
| AI shopping agent readiness audit for e-commerce stores
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| UA
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| Pricing model | Open source
| Free
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| Pricing | Not given
| Free to scan stores and receive full reports with findings and fix lists
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - 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
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 21 | 0 |
| Referring domains (Majestic) | 22 | 0 |