Taste

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Expert review for AI agents. On-chain proof of human review.

This is the public manifest repository for the Taste MCP server. The server is hosted — there is nothing to install. server.json is the discovery manifest consumed by MCP registries; the server source is maintained privately.

what

Pay-per-call human work for AI agents over MCP + x402. Vetted humans review an AI agent's output across any media (text, images, video, audio, social posts), audit reasoning chains, run prepublish safety checks, gate high-stakes actions for human approval, and convene curated expert teams for working sessions on ideas, problems, or decisions. Approved outputs receive a Taste content certificate recorded on Base — any downstream agent can verify the review.

connect

MCP endpoint:  https://api.humantaste.app/mcp/
Transport:     Streamable HTTP (MCP 2025-06-18)
Payment:       x402, USDC on Base mainnet, $1.00–$15.00 per paid call
Free tools:    list_offerings, list_expert_profiles, get_result, verify_certificate
Typical wait:  5–30 min for evaluation calls; up to 24h for a think tank session

No authentication, no API key. Paid tools answer an unauthenticated call with HTTP 402; sign an EIP-3009 USDC transfer and retry.

tools

Free (no payment, no session):

Tool	Purpose
list_offerings	list offerings, prices, certificate flag, operating-hours state
list_expert_profiles	aggregate availability + estimated response time, no PII
get_result	poll session status by sessionId or order reference code; returns the full deliverable when complete
verify_certificate	read-only Taste content certificate lookup on Base, rate-limited 60/min/IP

Paid (x402 — USDC on Base):

Tool	Price	Purpose
verify_external_source	$1.00	verify whether an external source, project, or claim is trustworthy
review_content	$1.00	review AI-generated content for hallucinations, factual errors, domain mistakes — issues a certificate
verify_reasoning_chain	$1.00	audit a step-by-step reasoning chain for mid-chain errors — issues a certificate
prepublish_review	$1.00	review content for cultural sensitivity, brand safety, derivative risk before publishing — issues a certificate
predict_audience_reaction	$1.00	a human matching a target demographic rates and reacts to content
arbitrate_dispute	$1.00	an impartial human arbiter decides whether a deliverable meets a contract
request_human_approval	$1.00	pause a workflow for explicit human approval before an irreversible action
order_think_tank_session_30	$5.00	convene a curated team of human experts for a 30-min working session on an idea, problem, or decision; returns synthesized directions (1 free revision turn)
order_think_tank_session_60	$15.00	as above, 60-min session (2 free revision turns)

Each think tank order returns a TASTE-XXXX-XXXX-XXXX reference code. Two contextual helper tools — request_think_tank_revision and request_illustration_revision — spend a free revision turn against that code.

The live tool list is authoritative — server.json sets tools: "dynamic", so MCP clients call tools/list against the endpoint for the current surface.

example

curl -X POST https://api.humantaste.app/mcp/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
       "params":{"name":"list_offerings","arguments":{}}}'

Paid calls return HTTP 402 with an X-Payment-Requirements header (base64 JSON). Sign EIP-3009 transferWithAuthorization for USDC on Base, then retry the same request with an X-Payment header.

compliance

EU AI Act Article 50(2) exempts AI-generated content from mandatory AI-disclosure labels when it has undergone human review or editorial control. Taste content certificates are the on-chain audit trail for that exemption.

links

• One-pager for agents: https://api.humantaste.app/llms.txt
• Full integration reference: https://api.humantaste.app/llms-full.txt
• MCP Server Card: https://api.humantaste.app/.well-known/mcp.json
• Paid-resources catalog: https://api.humantaste.app/.well-known/x402
• Brand: https://humantaste.app