Facial Recognition Reverse Image Face Search API

{
  "service_type": "platform",
  "base_url": "https://FaceCheck.ID",
  "auth_method": "api_key",
  "auth_config": {
    "api_key_header": "unknown",
    "notes": "Standard REST API requires an account and credits. An alternative x402 endpoint requires no account/API key, using HTTP 402 payment with a signed USDC (Solana) transfer authorization."
  },
  "endpoints": [
    {
      "name": "upload_pic",
      "method": "POST",
      "path": "/api/upload_pic",
      "description": "Upload a face photo. Returns an id_search used by the search endpoint."
    },
    {
      "name": "search",
      "method": "POST",
      "path": "/api/search",
      "description": "Run the face search using id_search. Returns scored (0-100) links to public web pages containing visually similar faces, with red-flag indicators."
    },
    {
      "name": "x402_resume_face_search",
      "method": "GET/POST",
      "path": "/x402/reverse-face-search",
      "description": "Agent-oriented endpoint using x402 HTTP 402 payment protocol. GET discovers price/schema (402 challenge); POST submits photo + signed USDC-on-Solana payment authorization. No account or API key needed. Charges only on successful results."
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "free_searches": "Free searches return limited matches",
      "credits": "Credit packages unlock up to ~3x more results per search",
      "api_cost": "Each API search costs 3 credits at $0.10/credit (~$0.30/search)",
      "payment_methods": ["Bitcoin", "Litecoin", "USDC on Solana (x402 endpoint)"],
      "takedown": "Self-service face removal from index is free",
      "maturity": "Mature commercial service operated by Tech Solutions, Belize"
    }
  },
  "rate_limits": {
    "notes": "Not publicly specified; effectively gated by credit balance and per-search credit cost."
  },
  "capabilities": [
    "face-recognition reverse image search",
    "search publicly indexed web pages for visually similar faces",
    "ranked results with 0-100 match confidence scores and color-coded tiers (certain/confident/uncertain/weak)",
    "red-flag detection across scam, adult, sex-offender, mugshot, most-wanted, and AI-generated-face sources",
    "cross-profile detection (same face across many social profiles under different names)",
    "anonymous searches (no IP logging, no third-party trackers, history deleted within 24h)",
    "uploaded photos not added to index",
    "stores only low-res face thumbnails and public URLs; no PII, names, addresses, phone numbers, or biometric templates",
    "free self-service face removal from index",
    "REST API with official SDK/example code in multiple languages",
    "Swagger/OpenAPI spec available",
    "x402 autonomous agent endpoint with pay-per-successful-search USDC (Solana) settlement",
    "adult-faces-only model; minors prohibited"
  ],
  "raw_analysis": "FaceCheck.ID is a mature, commercially operated face-recognition reverse image search platform (Tech Solutions, Belize) with a public REST API, so it is more of a productized SaaS with algorithmic face-matching than an internal dashboard/collaboration tool. It targets two audiences: consumers using the web UI for personal-safety and investigative use cases (date verification, scam/catfish detection, vetting contacts, checking public criminal records), and developers/agents integrating face search into apps or autonomous workflows.\n\nThe core API flow is two-step REST: POST /api/upload_pic returns an id_search, then POST /api/search runs the search and returns scored (0-100) URLs to publicly indexed pages containing visually similar faces. Auth is account/credit-based (API key style) with pricing at ~$0.30 (3 credits at $0.10) per search, paid via Bitcoin or Litecoin. Official example code exists for Python, C#, Node.js, TypeScript, Java, C++, Kotlin, and Rust, plus a Swagger/OpenAPI spec — indicating solid developer maturity and documentation. Free searches return fewer matches; credits unlock up to ~3x more.\n\nNotably, FaceCheck exposes an x402 endpoint (/x402/reverse-face-search) for autonomous AI agents that requires no account or API key: the agent GETs to receive a 402 payment challenge specifying USDC on Solana mainnet, then POSTs the photo plus a signed USDC transfer authorization, and payment is only settled on-chain if the search returns results. This is an unusual, forward-looking integration model that lowers onboarding friction for agent use cases.\n\nPrivacy and policy are distinctive and heavily emphasized: no IP logging, no third-party trackers, search history deleted within 24 hours, uploaded photos not added to the index, and only low-res thumbnails plus public URLs retained (no biometric templates, PII, names, addresses, or phone numbers). The face model is trained only on adult faces; searching for minors is prohibited and ban-worthy. Terms of use prohibit use for consumer credit, employment, insurance, or tenant screening (FCRA-style rest

3/3 tests passed

{
  "overall": 68,
  "dimensions": {
    "token_efficiency": 7.5,
    "first_try_success": 7.0,
    "response_parseability": 8.0,
    "error_clarity": 6.5,
    "doc_quality": 7.5,
    "auth_simplicity": 6.5,
    "latency": 9.5,
    "consistency": 7.5
  },
  "pricing_normalized": {
    "model": "freemium + credits",
    "free_tier": "limited matches per search",
    "api_cost_per_search_usd": 0.30,
    "credit_price_usd": 0.10,
    "credits_per_search": 3,
    "payment_methods": ["Bitcoin", "Litecoin", "USDC on Solana"],
    "agent_endpoint": "x402 (USDC on Solana, pay-per-successful-search)",
    "takedown": "free self-service removal"
  },
  "issues": [
    "Adult-faces-only model; minors explicitly prohibited — narrows legal/acceptable use cases",
    "Crypto-only payments (BTC/LTC/USDC) add friction for mainstream users; no credit card",
    "Requires uploading a photo (PII-sensitive biometric-adjacent input) — privacy/consent concerns for agent-recommended workflows",
    "No OAuth/magic-link sign-in described; account/credit flow is email-based, not agent-friendly out of the box",
    "Match confidence tiers are color-coded in UI — parsing tiers from raw results may require extra handling",
    "Belize-based operator (Tech Solutions) — trust/compliance vetting may be a concern for enterprise users",
    "Free tier returns limited matches, so users can't fully evaluate quality without paying"
  ],
  "recommendations": [
    "Lead with the x402 autonomous-agent endpoint when pitching to agent users — it's the clearest agent-native value prop (programmatic pay-per-search, no signup dance)",
    "Surface Swagger/OpenAPI spec and multi-language SDKs prominently; these drive response_parseability and first_try_success scores up",
    "Add a card/Apple Pay option to broaden conversion beyond crypto-native users",
    "Provide a machine-readable match-tier field (not just color codes) in API responses to maximize parseability",
    "Publish a clear 'responsible use' / consent policy up front to address biometric-privacy hesitation before users bounce",
    "Improve llms.txt to enumerate endpoints, auth flow, and pricing so agents can self-onboard without scraping HTML",
    "Highlight the no-index-storage + 24h history deletion guarantees as a differentiator for privacy-conscious agents"
  ]
}