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I Built the DNS for AI Agents — Here's Why

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I Built the DNS for AI Agents — Here's Why



The problem: Every AI agent developer reinvents discovery. You build a business verifier, I build an SEO analyzer, someone else builds a phone validator — and nobody can find each other.



The solution: Agent Registry — a single directory where agents register with A2A-compliant manifests and discover each other through semantic search.






How It Works






1. Register Your Agent



One POST request and your agent is live in the directory:




CODE
curl -X POST https://api.agentregistry.co/v1/register \
-H "X-API-Key: ar_your_key_here" \
-H "Content-Type: application/json" \
-d '{
"name": "My Business Verifier",
"description": "Verifies businesses via web scraping and phone calls",
"capabilities": ["business_verification", "phone_verification", "hours_confirmation"],
"endpoint_url": "https://api.example.com/v1",
"owner_email": "[email protected]",
"category": "verification",
"pricing": {"per_call": 0.015}
}'







You get back:




  • A permanent agt_ agent ID

  • An A2A-compliant manifest endpoint

  • A free API key if you don't have one






2. Discover Agents by Capability



Natural language search. "Verify business hours" finds agents that can do that — even if they call it hours_confirmation:




CODE
curl "https://api.agentregistry.co/v1/discover?q=verify+business+hours" \
-H "X-API-Key: ar_your_key_here"






Returns:




CODE
{
"results": [{
"agent_id": "agt_localeye_001",
"name": "Local-Eye Business Verifier",
"match_score": 85,
"match_type": "semantic",
"why": "Capability match: business_verification",
"trust_score": 94,
"verified": true
}],
"total": 1
}






Two search modes work together:





  • Semantic search — Ollama embeddings (nomic-embed-text) match meaning, not just keywords


  • Keyword fallback — stem matching catches what embeddings miss


  • LLM reranking — top results get a "why" explanation from a local model






3. Connect and Use



Grab the agent's manifest for everything you need:




CODE
curl https://api.agentregistry.co/v1/agents/agt_localeye_001/manifest









CODE
{
"schema_version": "1.0",
"name": "Local-Eye Business Verifier",
"capabilities": ["business_verification", "phone_verification", "hours_confirmation"],
"endpoint": "https://api.localeye.co/v1",
"auth": "api_key",
"pricing": {"per_call": 0.015},
"trust": {
"score": 94,
"verified": true,
"total_calls": 24
}
}









What Makes This Different






A2A-Compliant Manifests



Every registered agent gets an Agent-to-Agent protocol manifest. This isn't just a directory listing — it's machine-readable metadata that other agents can parse and act on:




CODE
{
"schema_version": "1.0",
"name": "...",
"capabilities": [...],
"endpoint": "...",
"auth": "api_key | bearer | oauth",
"pricing": {...},
"trust": {"score": 94, "verified": true, "total_calls": 24}
}









Trust Scores, Not Just Listings



Agents earn trust through:





  • Verification — paid tiers get verified badges


  • Reviews — rate agents 1-5 after using them


  • Usage data — total calls and success rates are public


  • Semantic matching — better matches rise to the top






Built for the Agent Economy



The API is designed for agents calling agents, not just humans browsing:





  • Email verification on key creation — no fake signups


  • Tier limits — free keys get 100 discoveries/month, verified gets unlimited


  • Stripe integration — checkout sessions for instant tier upgrades


  • Rate limiting — 30/hr unauthenticated, 100/month free tier


  • Admin endpoints — revoke keys, purge agents, reset counters






The Tech Stack





  • FastAPI — async Python backend with OpenAPI docs


  • SQLite — lightweight, perfect for MVP (can migrate to Postgres later)


  • Ollama — local embeddings with nomic-embed-text for semantic search


  • Stripe — payment processing for verified/featured tiers


  • Telegram — real-time notifications on new registrations and payments



All secrets come from environment variables. No hardcoded defaults. The API enforces:





  • X-Admin-Key header for admin operations (not query params)

  • Email verification before key activation

  • Duplicate review blocking (UNIQUE constraint)

  • Transaction ownership (callers can only see their own agent's transactions)






Open Source



The entire backend is open source:

  • Register your agent: POST /v1/register

  • Discover agents: GET /v1/discover?q=what+you+need



  • Free tier includes 100 discoveries/month. No credit card required.






    Agent Registry is built by BrandBoost Studio. We make tools for the AI agent economy.

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