Wrong endpoints. Wrong parameters. Wrong auth. Every time. openapi.city gives your agent accurate, resolved API specs on demand — via MCP or REST.
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Your agent learned the Stripe API from training data that cut off months ago. Since then, charges.create was deprecated in favor of payment_intents.create. The card parameter was removed in 2019. Your agent never got the memo.
LLMs don't know what they don't know. When an agent generates stripe.charges.create({ card: 'tok_visa' }), it sounds plausible. It looks like real code. But it's completely broken. The agent has no mechanism to verify against the actual API spec.
Popular APIs release updates weekly. GitHub adds endpoints. Slack deprecates old ones. Twilio changes parameter structures. No static training dataset can keep up with live API evolution.
20 minutes tracing a "Stripe API error — Invalid parameter" that your agent could have avoided.
Wrong code ships. Users hit errors. Your integration fails at 2am on a Saturday.
"I'll just write it myself" — defeating the entire purpose of having an AI agent.
See the difference in real time
Your AI agent is guessing APIs. Stop it.
Instead of guessing, your agent calls get_endpoint with the provider name, HTTP method, and path. It gets back the exact parameter list, request body schema, and response structure — all validated against the current spec.
We refresh specs weekly from source. When Stripe deprecates an endpoint, your agent knows within days — not months. Version diffs track every change so you can see exactly what moved.
No more chasing $ref pointers through a 2.7MB spec. Request a schema and we intelligently include only the relevant components in a components block — no bloat, no duplication. You control resolution depth, and $ref pointers stay intact so your agent resolves them cleanly.
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