# Taylor Good — agent utilities
# Operator: Taylor Good · https://taylorgood.com
# Protocol: x402 (HTTP 402) · USDC · eip155:8453
# Configured: no — set X402_PAY_TO
# Not for FCRA / credit decisions. Outreach and research only.
# Regime context (separate product): https://www.entropyindex.com/x402
# Engine hash: paid EI Risk Pulse 200s bind physics_hash — TG receipts are operator receipts, not engine hashes.
# Pre-settlement stamp (free, before EI pay): https://www.entropyindex.com/api/v1/x402/pre-settle?entity={slug}&depth=probe

## Endpoints
- Email verify · $0.05 · GET https://taylorgood.com/api/agents/verify?email=user%40example.com
  Syntax, MX, disposable, role-account flags. Quality score 0–100.
- Email find · $0.15 · GET https://taylorgood.com/api/agents/find?domain=example.com&firstName=Jane&lastName=Doe
  Name + company domain → candidate email + confidence.
- Person enrich · $0.25 · GET https://taylorgood.com/api/agents/enrich?email=user%40example.com
  Email → MX quality plus public homepage company signals. Title is never invented.
- Company enrich · $0.25 · GET https://taylorgood.com/api/agents/company?domain=example.com
  Domain → public homepage + JSON-LD firmographics. No invented titles.
- Outreach pack · $0.75 · GET https://taylorgood.com/api/agents/outreach-pack?domain=example.com&firstName=Jane&lastName=Doe
  Find → verify → enrich in one settlement and receipt.
- Pre-trade bundle · $1.00 · GET https://taylorgood.com/api/agents/pre-trade?email=user%40example.com
  Enrich + EI pre-settle stamp + Risk Pulse in one atomic settlement. physics_hash sealed on 200.
- Doctrine ask · $0.25 · POST https://taylorgood.com/api/tg/ask
  Pay-per-ask TG voice — AI, building, priorities.

## Workflow
1. find → verify → enrich (outreach loop)
2. enrich → https://www.entropyindex.com/api/v1/x402/pre-settle?entity={slug}&depth=probe (free EI stamp — physics_hash bind)
3. GET https://www.entropyindex.com/api/v1/risk/{entity}?depth=probe (Risk Pulse — verify X-EI-Physics-Hash == JSON attestation.physics_hash)
4. doctrine ask when judgment beats data

## Looking
Catalog of attention — what Taylor is looking at in AI, and why.
- https://taylorgood.com/looking

## Discovery
- Docs: https://taylorgood.com/agents
- Directory: https://clearedindex.com
- Machine: https://taylorgood.com/.well-known/x402.json
- MCP: coming soon