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koki uchiyama
koki uchiyama

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We're building Google for AI Agents

#agents #x402 #mcp #claudecode

Humans needed Google. AI agents need the same.

The problem

In the early days of the web, information existed — but finding it was chaos. Yahoo built a directory. People browsed categories. It worked, until it didn't.

Then content exploded. Yahoo couldn't keep up. A new problem emerged: not just finding pages, but knowing which ones were worth your time.

Google solved it with PageRank — using the structure of links as a signal of trust. Suddenly, quality rose to the top.

Now fast-forward to AI agents and APIs. The same story is playing out at a different layer.

Thousands of x402-enabled APIs exist — APIs that AI agents can call autonomously, pay for instantly, and use without human intervention. But agents can't find them. They can't evaluate them. They can't choose between them.

So developers do what they've always done: hardcode the endpoint. Pick one API, hope it works, move on.

That's the Yahoo era of AI agent APIs. We're still there.

What Google figured out — and what it means for APIs

Google didn't just index more pages. It invented a way to judge quality — PageRank, built on the structure of links as a signal of trust.

The insight: quantity alone isn't enough. You need a quality signal.

For AI agents discovering APIs, the equivalent questions are:

  • Is this API actually live?
  • Does it really support x402 payments?
  • Does it stay up consistently, day after day?

No one was answering these questions systematically. So we built Decixa.

What Decixa does

We collected 20,000+ endpoints from across the x402 ecosystem and probed each one. Only 3,800+ actually return a valid 402 payment response. Those are what Decixa indexes as verified live — and the only ones we surface to agents.

Two things at once:

  • The directory layer (Yahoo): collect every x402 endpoint that exists
  • The quality layer (Google): probe each one, track uptime, and rank by reliability — only verified live APIs are exposed

The gap between 20k+ collected and 3,800+ verified is the point: most endpoints in the wild don't actually implement 402 correctly. Agents shouldn't see them.

When an AI agent asks "which API should I use to extract social media data?", Decixa returns ranked results — not just a list.

Try it now

One command in Claude Code:

npx decixa-mcp
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Or call the resolve endpoint directly — give it an intent, get back a ranked list:

curl -X POST https://api.decixa.ai/api/agent/resolve \
  -H "Content-Type: application/json" \
  -d '{"intent": "extract social media posts by keyword"}'
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You'll get back capability, cost, latency, and trust score — everything an agent needs to make a decision without human input.

We're early — and that's the point

The x402 ecosystem is young. The number of endpoints will grow fast. The quality problem will get harder before it gets easier.

We're building the infrastructure now, while the ecosystem is still small enough to probe completely.

If you're building AI agents, we'd love your feedback.

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