Parking API integration that does not require a sales call

The Park Graph API is built for four buyer profiles: developers at property tech companies who need parking as a billable line item, integration teams at hospitality and event-venue platforms who need to push room or ticket bookings into parking inventory, AI-agent builders who need a stable parking surface to call from ChatGPT Actions, Gemini, or custom assistants, and ops engineers at parking-operating companies who need to pipe events into their own warehouses for blended analysis.

The common requirement across all four is a public, contract-tested API with sane defaults, a free sandbox, and no sales engineer engagement to get a key. We built Park Graph this way because we have all been on the other side of a partner-only integration program. They are slow, they are expensive, and they discourage exactly the kind of long-tail integration that compounds platform value.

The Park Graph API is organised around six top-level resources: lots (locations and capacity), sessions (paid parking events), reservations (held capacity for a future window), permits (recurring billing relationships), validations(third-party comp or discount codes), and payouts(Stripe Connect settlements). Each resource supports the standard CRUD verbs plus resource-specific actions (refund a session, redeem a reservation, etc.).

Beneath those resources sit two query APIs: availability(real-time fullness and price for a lot or geographic region) and analytics(revenue, occupancy, channel attribution by timeframe). These are the read paths AI-agent integrations and BI tools query most heavily.

Webhooks fire on every state change with a typed payload that matches the OpenAPI spec. Delivery is at-least-once with HMAC-SHA256 signing, idempotency keys, and 24 hours of exponential-backoff retries on failure. Subscribe to specific event types (session.created, payout.completed) or to a wildcard for everything.

1. 1

   Sign up

   ~2 min

   Free Starter plan, no credit card.

2. 2

   Create an API key

   ~3 min

   Dashboard → Developers → Keys. Choose scope.

3. 3

   Hit the sandbox

   ~5 min

   Run a curl request against the sandbox endpoint to verify auth.

4. 4

   Install an SDK

   ~5 min

   TypeScript or Python; both generated from the OpenAPI spec.

5. 5

   Wire up a webhook

   ~15 min

   Subscribe to session.created and session.refunded.

6. 6

   Promote to production

   ~1 min

   Swap sandbox base URL and key; same payloads, real money.

The most common build on top of the Park Graph parking API integration is a companion app — a parking marketplace, a ride-share extension, a map overlay, a hotel concierge product, an EV-routing tool — that needs real-time availability, deterministic pricing, and the ability to actually transact a session without shipping the user to a third-party flow. Park Graph supports all three with one OpenAPI document, one set of credentials, and one webhook stream.

A second common build is internal: an operator's own data team backfilling a warehouse with session-level events, joining them to CRM data, and building dashboards that the platform UI doesn't expose. The same API that powers the Park Graph dashboard powers the warehouse export and the AI-agent integration — there is no second-class read path.

A third, increasingly common build is the AI-agent client itself. Agents are first-class API consumers on Park Graph, with rate limits, audit logs, and per-agent reservation policies. The MCP server, OpenAI Actions manifest, and Gemini function definitions are generated from the same OpenAPI spec, so an agent built against any of them gets parity with a hand-rolled REST client.