Introducing AINET Agent Lab: watch coding agents find, pick and use your API
Coding agents now pick APIs and MCP servers for the developers they work for. Agent Lab runs real agents on your category's tasks and tests what to fix.
By AINET Team
AINET's Agent Lab runs real coding agents, such as Claude Code, Codex, Cursor and Gemini CLI, on unbranded tasks in your category. It shows whether they find your API or MCP server, pick it and get the integration working, and it tests each fix before you ship it.
Why we built AINET
A growing share of API traffic no longer starts with a developer reading your docs. It starts with an agent that was asked to get something done: fetch a live price, swap a stablecoin, book a meeting, reconcile a wallet. The agent searches, compares a few options, reads just enough documentation to make a call, and moves on.
If your API is hard to find, hard to compare or hard to call, the agent quietly picks someone else. You never see the lost request. It doesn't show up in your analytics, your funnel or your churn report.
We built AINET to make that invisible journey visible.
What AINET does
Agent Lab works in five steps:
- Write tasks. We write down the jobs a developer would hand an agent in your category, each with a persona, the rivals in play and a script that checks the result.
- Run real agents. Claude Code, Codex, Cursor and Gemini CLI run those tasks headless in a sandbox, with pinned versions and a spend cap on every run.
- Compare rivals. We show which API or SDK each agent installs instead of yours, how often it writes its own code, and when that changed.
- Draft fixes. Each failure gets a cause (docs, auth, endpoint, SDK, MCP schema or payment) and a fix written as a prompt for your coding agent.
- A/B, then retest. We try the fix in paired runs on our MCP proxy before you deploy it, then confirm it on the live agents after you do.
You can see the loop in action on the homepage.
What you can measure
- Discovery. Do the search APIs agents call, such as Exa, Tavily and Brave, return your docs or MCP listing for an unbranded query, and how high?
- Selection. Given a starter repo and a task that never names you, does the agent install your SDK, a rival's, or write its own?
- Usage. With your MCP server or SDK wired in, does the agent choose the right tool, pass valid arguments, recover from errors and pass the verifier? Payment steps such as x402 run on fixtures or a testnet.
Who it's for
AINET is built for teams whose growth depends on being chosen by agents: data and infrastructure APIs, payment and execution APIs, and anyone shipping an MCP server. Crypto and fintech APIs feel this first, because their users already work through bots and agents.
Bring your own stack
If you already use a GEO platform to track what chatbots say about you, keep it. AINET works alongside it, and agent runs can bill to your own Anthropic, OpenAI or Google API keys. Read more about bringing your own stack, or why we think GEO is now table stakes.
Get started
We're onboarding teams now. Request a trial and we'll run a free agent report on one of your API tasks.