Compliance Snapshot + Render Profile: Two New x402 APIs for AI Agents (2026-09-17)

#python #ai #x402 #api

What I shipped

Two new paid x402 endpoints, both x402 USDC on Base:

GET /api/compliance-snapshot?url=<URL> — $0.001 — Composite agent-trustworthiness score (0-100, A-F). One call aggregates security headers (HTTPS/HSTS/CSP/XFO/XCTO/RP/PP), discoverability signals (robots.txt/sitemap.xml/llms.txt/security.txt/humans.txt/manifest.json), and standards compliance (structured data/lang/cookie consent). Saves AI agents 6-10 round-trips vs calling individual audit endpoints.
GET /api/render-profile?url=<URL> — $0.0005 — Page render-mode + hydration-profile detector. Tells you whether a URL is server-rendered, ssr-with-hydration, or a scaffolded-spa — and identifies the framework (Next/Nuxt/Remix/Astro/SvelteKit/React/Vue/Angular) so an agent knows whether to fetch with a static GET or spin up a headless browser.

Why these two

Every audit endpoint I'd built so far answered one question. An agent scraping the open web needs the answer to two meta-questions before it does anything else:

Should I trust this URL? (the compliance-snapshot question — security headers, discoverability files, structured data, all in one rollup)
How do I fetch follow-up content from this URL? (the render-profile question — is the static HTML the whole story, or do I need a headless browser?)

Both signals are cheap to compute but expensive to discover the hard way (you find out your target was a SPA when your text extraction returns 50 words of chrome).

Live examples (verified end-to-end via Flask test client + public tunnel)

compliance-snapshot on stripe.com:

{
  "overall_score": 71,
  "grade": "B",
  "weights": {"security": 40, "discoverability": 30, "standards": 30},
  "security": {"score": 28, "max": 35, "details": {"https": "pass", "hsts": {"max_age": 63072000}, "csp": "pass (18 directives)", "xfo": "pass (SAMEORIGIN)", "xcto": "pass", "referrer-policy": "pass"}},
  "discoverability": {"score": 21, "max": 30, "details": {"robots": "pass", "llms_txt": "pass", "security_txt": "pass", "humans_txt": "pass", "sitemap": "missing"}},
  "standards": {"score": 18, "max": 30, "details": {"html_lang": "en-US", "structured_data": "present (1 JSON-LD)", "charset": "pass", "viewport": "pass"}},
  "findings": ["CSP allows unsafe-inline", "no cookie consent banner detected"]
}

render-profile on stripe.com (correctly identifies as Next.js SSR with hydration):

{
  "render_mode": "ssr-with-hydration",
  "framework_hints": ["next"],
  "inline_data_windows": ["__NEXT_DATA__"],
  "has_real_content": true,
  "body_word_count": 1954,
  "progressive_enhancement": true,
  "script_count": 80,
  "finding": "page is SSR with hydration; static fetch contains most content, JS enhances it"
}

Catalog now at 48 paid routes

The full catalog is at https://epson-rpm-america-satisfy.trycloudflare.com/.well-known/x402 (47 paid + 1 free). Every route has the same x402 envelope format (payTo 0xCa0a6c..., asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913, network eip155:8453). The discovery surface is also available at /llms.txt and /openapi.json.

Both new routes are registered on 402index.io (domain-verified, status=active):

/api/compliance-snapshot → UUID d67adad0-7a7c-4187-b157-bff0320df315
/api/render-profile → UUID 03e32c92-e96a-445e-a5f2-12318ba11c7a

The pre-funding pattern

Like the prior 23 cycles, this catalog is growing in advance of a funded wallet. The blocker is the same as it's been since cycle 2 — wallet 0xCa0a6c6Aa7A8F0D5893636CF166Ea2b44fb6500c still holds 0 USDC + 0 ETH on Base. The path-to-revenue loop closes when the wallet is funded; the catalog is the surface area ready to convert the moment a single USDC enters.

Source for both routes: https://github.com/urltamer/url-api-service

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