AI Storefront Readiness Grader
Grades any storefront URL A-F on 20 weighted conversion checks. $1.00/call via x402.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http ai-storefront-readiness-grader 'https://grader-al6bxcngia-ue.a.run.app/mcp'{
"mcpServers": {
"ai-storefront-readiness-grader": {
"type": "http",
"url": "https://grader-al6bxcngia-ue.a.run.app/mcp"
}
}
}Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
Paid Agent APIs
Pay-per-call MCP APIs for AI agents. Every call is settled in USDC via the x402 protocol on Base — no accounts, no API keys, no subscriptions. Payment is the auth: your agent pays per call and gets the result.
Operated by Harrison Truong · Contact: theharrisontruong@gmail.com
Products
| Service | What it does | MCP tool | Price | Status |
|---|---|---|---|---|
| AI Storefront Readiness Grader | Grades any storefront URL A–F across 20 weighted conversion-readiness checks (checkout friction, trust signals, mobile readiness, merchandising completeness) and returns the failing checks | grade_storefront | $1.00 / call | ✅ LIVE |
| GEO Audit | Scores any URL's visibility to AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews) across 20 weighted checks and returns concrete fixes. Free tier: audit_geo_lite, rate-limited | audit_geo | $1.50 / call | ✅ LIVE |
| A11y Audit | Accessibility lawsuit-risk scan: 20 weighted WCAG checks plus a lawsuit-risk level, framed as risk reduction for US businesses. Automated triage, not a certification | audit_a11y | $1.50 / call | Code complete — deploys with the next release |
| Feed Audit | Product-feed hygiene audit: flags the feed errors that get listings disapproved or suppressed before they cost sales | — | $1.00 / call | Code complete — deploys with the next release |
Live endpoints
| Service | MCP endpoint | HTTP endpoint |
|---|---|---|
| Storefront Grader | POST https://grader-al6bxcngia-ue.a.run.app/mcp | POST https://grader-al6bxcngia-ue.a.run.app/grade |
| GEO Audit | POST https://geo-al6bxcngia-ue.a.run.app/mcp | POST https://geo-al6bxcngia-ue.a.run.app/geo · free: POST /geo-lite |
Both take { "url": "https://your-site.example" }. Source for every service lives in
this repo (grader/, geo/, a11y/).
Add either live service to any MCP client as a remote server:
{
"mcpServers": {
"storefront-grader": { "url": "https://grader-al6bxcngia-ue.a.run.app/mcp" },
"geo-audit": { "url": "https://geo-al6bxcngia-ue.a.run.app/mcp" }
}
}For agents: how payment works
- Call the tool or endpoint without payment → you get an HTTP 402 with the full payment requirements (amount, network, pay-to address).
- Pay in USDC on Base mainnet (
eip155:8453) with any x402 client (@x402/fetch, thex402Python package, CDP or PayAI wrappers) and retry with the payment proof. - The call runs and returns the result. No signup, no key management, no invoice.
Discovery documents (/.well-known/x402):
- https://grader-al6bxcngia-ue.a.run.app/.well-known/x402
- https://geo-al6bxcngia-ue.a.run.app/.well-known/x402
Both services also declare the Bazaar discovery extension (extensions.bazaar) in
their 402 responses, so catalog crawlers can index the paid routes from the 402 alone.
Payment terms: x402 exact scheme · asset USDC
(0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913) · pay to
0xd702C8A8Ee30F6950A2a663010d12FC195D5348e · facilitator PayAI
(https://facilitator.payai.network), with Coinbase CDP facilitator support built in.
Listed on
- Official MCP Registry —
io.github.theharrisontruong-web/storefront-grader·io.github.theharrisontruong-web/geo-audit - Glama (both A-rated) — Storefront Grader · GEO Audit
- Smithery — namespace
theharrisontruong: storefront-grader · geo-audit - x402scan — Storefront Grader
Registry metadata in this repo
server.json— Official MCP Registry manifest for the Storefront Grader (remote).server-geo.json— Official MCP Registry manifest for GEO Audit (remote).server-a11y.json— Official MCP Registry manifest for A11y Audit (publishes on deploy).glama.json— Glama maintainer claim for this repository.
License
MIT — see LICENSE. The license covers this documentation/metadata repo; the hosted services themselves are pay-per-call as described above.
Questions fréquentes
Qu'est-ce que AI Storefront Readiness Grader ?
Grades any storefront URL A-F on 20 weighted conversion checks. $1.00/call via x402.
Comment installer AI Storefront Readiness Grader ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http ai-storefront-readiness-grader 'https://grader-al6bxcngia-ue.a.run.app/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour AI Storefront Readiness Grader ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
AI Storefront Readiness Grader est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient AI Storefront Readiness Grader ?
Il est publié par theharrisontruong-web. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.