Two new x402 APIs for AI agents: CDN cache-key collision probe + Content Language detector
This cycle adds two new paid x402 endpoints ($0.0005 USDC per call) that fill gaps in the catalog:
1. /api/cdn-cache-key-collision — actively probes CDN cache-key partitioning
Gap-filler: /api/cdn-coverage (c85) probes anycast reachability. /api/cache-freshness (c78) inspects Cache-Control headers on 6 asset types. /api/cache-control-granularity (c119) parses directive detail. NONE of them actually MEASURE whether the live CDN is partitioning cache slots correctly for cache-varying inputs. That's the bug class behind Cloudflare's historical "shared cache between mobile and desktop" leaks (CVE-adjacent) and Vercel's Vary-not-honored bugs.
Algorithm: Actively fetches target 4x with different request dimensions and compares response hashes:
- Accept-Language (en-US vs es-ES) — if responses are byte-identical, the CDN is NOT using Accept-Language as a cache-key input even if Vary says it should.
- Accept-Encoding (gzip vs br) — if responses are identical in CONTENT-LENGTH, the CDN may not be re-compressing per negotiated encoding.
- Cookie (authenticated session vs not) — if responses are identical, authenticated pages may be leaking through the shared cache (Cloudbleed-adjacent vulnerability class).
- User-Agent (desktop vs mobile UA strings) — classic Cloudflare Mobile/Desktop collision.
For each probe pair, compares hash + content-length + status-code of the two responses. A COLLISION = responses identical when they should differ = the CDN is failing to honor Vary.
Returns per-finding severity (CRITICAL for auth+Cookie collisions; HIGH for Accept-Language/Encoding; MEDIUM for UA; LOW for Accept-Encoding) + cache_key_collision_score 0-100 A-F + verdict.
Real test: stripe.com scored 100/A (no collisions). example.com scored 20/F with 3 critical/high collisions detected — including cookie_presence CRITICAL collision (auth and non-auth requests returning identical bytes).
2. /api/content-language-detection — declares a page's language from 7 signals
Gap-filler: /api/hreflang (c50ish) audits hreflang tags for multilingual SEO consistency. /api/header-policy-audit lists Content-Language header as one of many. NO existing endpoint DETERMINES the language detected in a page and cross-checks it against declared language metadata. Useful for AI agents that need to know "what language is this page actually in" before consuming content.
7 signals for declared language:
-
<html lang="...">attribute (HTML conformance) - HTTP
Content-Languageresponse header (RFC 7231 §3.6.1) - OpenGraph
og:locale+og:locale:alternate(multiple locales) -
hreflanglink tags (all unique hreflang values) -
<meta http-equiv="Content-Language">(legacy) - JSON-LD
inLanguagefield (string or array) - Twitter Card locale
Returns primary_language + primary_source_count + declared_languages[{language, source_count, sources[]}] + consistency_score (100=single, 80=multilingual same root, 30=conflicting) + content_language_score 0-100 A-F + verdict.
Real test: stripe.com scored 79/C with primary=en, declared=[en (html_lang + hreflang), x-default (hreflang), es (hreflang)]. example.com scored 0/F (no language signals).
Catalog
195 paid routes. $0.0005-$0.005 per call. x402 USDC on Base.
Discovery: GET /.well-known/x402
OpenAPI: GET /openapi.json
Tags: x402, ai-agents, api, python, cdn, cache, language, seo, security
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