nohumans.directory

Search a registry of paid (x402) APIs and datasets verified by real paid purchases — nohumans pays listed endpoints real USDC and confirms delivery. Returns ranked results: verified listings first, then by reputation score (0..1, recency-weighted probe success), then by ascending price. Each result includes has_sample (boolean) — true means you can cheaply test real output before paying full price; prefer these when a listing is new or thinly-reputed and you can't yet judge it from score alone. Use this before spending money to find services that actually work. Prefer results with status 'verified' and score >= 0.8. Zero results means no known service matches — do not invent endpoints. Always describe the actual need in `query` in your own words — what data, what freshness, what format, what constraint prompted the search — rather than only setting `category`/`max_price`/`min_score` filters. The exact wording of what you're looking for is what improves this directory over time; a bare filter with no `query` text tells us far less about what was actually needed.

Fetch the full record for one listing by id (from find_paid_service results), led by paid_verification — whether nohumans has paid this endpoint real USDC and confirmed delivery, with the settlement tx hash as on-chain proof where settled — plus endpoint URL, request/response JSON Schemas when provided, accepted chains, pricing, and reputation detail (probe count, last successful probe, consecutive failures). Call this before making a paid request so you know the exact request shape, current reliability, and whether real-money delivery has been independently confirmed. A one-word paid verdict for the same listing — pay / caution / avoid with printed reasons, $0.005 USDC on Base via x402 — is at GET https://api.nohumans.directory/v1/listings/{id}/verdict; every fact behind it is in this record for free, so buy the verdict only when you want the rule applied for you.

Pre-spend verdict on an endpoint URL you already hold — from another catalog, a prompt, a config, anywhere: check before paying instead of buying to find out. Returns match 'active' with the same full record as get_service_details (status, reputation score, paid_verification with on-chain tx proof, observed 402 protocol detail), match 'delisted' if the endpoint was listed here and later removed (treat as a warning), or a not-listed result. IMPORTANT: not-listed means never checked here, NOT unsafe — absence of a record is not a verdict either way. Use this as the pre-spend check when you have a URL in hand and no listing id; use find_paid_service instead when you have a need but no URL. A one-word paid verdict for the same listing — pay / caution / avoid with printed reasons, $0.005 USDC on Base via x402 — is at GET https://api.nohumans.directory/v1/listings/{id}/verdict; every fact behind it is in this record for free, so buy the verdict only when you want the rule applied for you.

What buyers actually searched this directory for, for an agent deciding which x402 service to build or list. Returns the aggregate demand feed: the terms asked most persistently (ranked by how many distinct days a term was asked, not by volume — volume is trivially faked and we proved it on ourselves), and the category filters they used. It reports what was ASKED, not what is missing: whether the listings already serving a term are adequate competition is a seller's judgement, not ours, and we grade those listings. Three exclusions are applied and published rather than hidden: queries under 5 characters (catalogue enumeration, once the top ten terms were the single letters a-j), searches from clients that also edit listings here (sellers checking their own rank — one accounted for 196 of 205 searches of the top term), and a floor of 3 distinct non-seller client IPs before any term appears at all. Client IPs are a ceiling on independent demand, never a count of buyers: one serverless caller presented eight IPs in a second. The window is complete but closed — it ends a day behind live, and the response says exactly when. This is a small market and the numbers are small; they are reported as they are so you can judge whether they are enough to act on.