Build with Park Graph

Park Graph is the connectivity layer between physical parking lots and the software that drivers — and increasingly, AI agents — use to find them. Every integration on this page is built on a single REST API described by one OpenAPI specification. That means whether a request comes from Claude, ChatGPT, a navigation engine, your own mobile app, or a curl command in a shell script, it hits the same well-defined endpoints to search for parking, create and extend sessions, capture payments, and read live availability.

You do not need a different SDK for each platform or a bespoke contract for each partner. Because the contract is the OpenAPI spec, AI platforms that support tool calling can ingest it directly and generate their own function definitions, while human developers can use our typed SDKs, the CLI, or plain HTTP. The result is one surface to learn, one set of credentials to manage, and one place to watch for changes in the changelog.

Getting started takes a few minutes. Create an API key from your dashboard, point any client at the base URL, and authenticate with a bearer token on every request. The same key works across the REST API, the SDKs, the CLI, and every agent adapter, so there is nothing extra to provision when you add a new platform. Rate limits, error codes, and pagination behave consistently across every endpoint, which means the patterns you learn on one integration carry over to the rest. Start in the sandbox with sample lots and sessions, confirm the responses match your expectations, then flip the same code to production by swapping the key — no rewrites required.