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The problem you can’t see from your side

Your docs are written for humans — and they work for humans. But a growing share of your integrations are now attempted by AI agents, and for them the experience is different:
  • Agents mis-call you. Wrong parameter, wrong endpoint, an auth scheme inferred incorrectly from prose. On your side that’s malformed requests, retry storms, rate-limit pressure, and support tickets that read “your API doesn’t work” — when really, the agent guessed wrong.
  • Agents can’t find you. An agent picks the API it can discover and call correctly today. If that’s your competitor, the traffic — and the integration — goes there. You never see the loss; it just never arrives.
  • Your own changes break your integrators. A renamed field that no human would miss silently breaks every downstream agent. Their 2am incident becomes your support ticket and, eventually, your churn.
  • A hand-rolled MCP server goes stale. Teams that ship their own agent surface cover a handful of endpoints, then drift out of date the next time the API ships.
None of this shows up in your analytics, because failed and never-attempted agent calls are invisible by definition. That’s the trap: the pain is real, and it’s unmeasured.

What Gecko does about it

Gecko is the API comprehension layer for agents. Point it at your OpenAPI (or your docs — no spec needed) and your whole surface becomes question-shaped, first-call-correct agent tools: auth handled invisibly, operations an agent can’t satisfy hidden, everything provable offline first.
1

See the problem on your own API — free, one session

We run the comprehension scorecard against your live spec: how an agent experiences your API today (raw docs) vs comprehended. You get the mis-call picture you currently can’t see. The engine that does this is open source — you can run it yourself: uvx --from "gecko-surf[serve]" gecko <your-openapi-url>.
2

Become discoverable to agents

Gecko emits your API’s own agent-native surface — llms.txt, gecko.json, /.well-known/gecko.json, tools.md — generated from your comprehended surface, hosted by you or by Cloud. Agents find you instead of guessing at you. See Agent discoverability.
3

Stay correct as you ship (Cloud — building)

Drift-watch re-comprehends your API when it changes and regenerates the tools — so your next release doesn’t silently break every downstream agent. Alert fires before your integrators’ prod breaks — every silent change today is their incident and your ticket.
4

Get paid for agent traffic (optional)

We wire the generated tools to your x402 endpoint (PayAI, Metera, or pay.sh). Agents pay you directly; you keep 100%. Gecko is never the payment rail and never a marketplace.

Who pays, in one sentence

The engine is free forever for builders; API providers pay a flat per-API subscription for hosted, drift-watched, agent-ready surfaces.
Flat fee. Never a percentage of your revenue, never a cut of what agents pay you, never a public catalog listing you didn’t ask for. Illustrative shape on the Cloud page — prices land when Cloud ships.

Why this is measurable (unlike docs spend)

Human-docs spend is famously unattributable. Agent comprehension isn’t: a first-call-correct fix turns a failed call into a completed one — and if your API is x402-metered, into a settled one. The delta is visible per API revision. That’s the difference between a cost center and an ROI line.

Honest status

The comprehension engine, the scorecard, discoverability artifacts, and the free self-serve flow are live today. Drift-watch, access analytics, and the hosted provider plane are building — with the first design partners, now. See Status and Roadmap for the exact line.

Bring your API

Get the free scorecard

Join the Discord and drop your OpenAPI URL — we’ll run the comprehension scorecard on your API and show you what agents see.

Self-serve it now

Run the open-source engine against your own spec today — comprehend, serve over MCP, emit your agent-native surface.