Time
Integration Time
6–12 months → 6 hours
Reduce long custom integration projects into a fast AI-assisted setup flow.
From documentation to tested integration setup
Fast AI Integration Flow
Import your OpenAPI or Swagger spec, map endpoints with AI, test live calls, and prepare partner integrations faster.
From API documentation to tested integration setup — in hours, not months.
AI inside the flow
AI Maps Your API in Two Steps
First, OpenPadel AI maps your API spec. Then it maps each tested endpoint using live response data. Both steps are reviewable, editable, and fast.
Outcomes
Why Teams Use the AI Integration Flow
Cost
Development Cost
Up to 70% less custom work
Reduce repeated API development with reusable partner standards and AI-assisted mapping.
Mapping
Manual Mapping
Up to 75% less manual mapping
AI detects fields, matches schemas, and suggests mappings for review.
Partners
Partner Data Sharing
In days, not months
Find partners, connect APIs, and start sharing booking and availability data faster.
01/Import & map from spec
AI-Powered API Spec Mapping
Upload a spec. Let AI detect endpoints and match them to the OpenPadel schema.
Paste a spec URL or upload an OpenAPI 3.x / Swagger 2.0 document. OpenPadel AI reviews your operations and matches them to unified data types such as clubs, courts, availability, bookings, players, matches, memberships, and events. Each match includes a confidence score, so your team can review, edit, approve, or deselect endpoints before saving.
- Speed: Reduce integration setup from 6–12 months to as little as 6 hours.
- Confidence: Review AI confidence scores, matched endpoints, and unmatched items before saving.
- Coverage: Supports OpenAPI 3.x and Swagger 2.0 with method and path detection.
02/Map every endpoint
AI Field Mapping for Every Endpoint
Test a live call. Let AI map response fields to the unified OpenPadel schema.
After a successful test call, OpenPadel AI analyzes the live response, detects source fields, and suggests mappings to the unified schema. Your team can review confidence scores, adjust mappings, edit transformations, and approve everything before saving. For standard mappings, AI reviews JSON schemas, analyzes live response data, and suggests field-by-field mappings — with full control for your team before anything is saved.
- Speed: Map fields faster using real API responses.
- Accuracy: AI suggests high-confidence matches with clear review steps.
- Control: Edit any field mapping, transformation, or array path before saving.
Process
How the AI Integration Flow Works
1
Import API Spec
Upload an OpenAPI or Swagger file, or paste a documentation URL.
2
Map Endpoints with AI
AI matches operations to OpenPadel unified data types.
3
Test Live Calls
Run test requests and validate real API responses.
4
Map Fields and Approve
AI suggests field mappings; your team reviews and saves the setup.
5
Monitor Integration Health
Track logs, errors, retries, sync status, and usage after launch.
FAQ
Common questions
How does AI mapping work?
OpenPadel AI reads your API specification, detects endpoints, tests live responses, and suggests how your data maps to the unified OpenPadel schema.
What if AI gets a mapping wrong?
Your team stays in control. Every endpoint and field mapping is reviewable and editable before it is saved or used.
Do you replace our API?
No. OpenPadel AI does not replace your API. It helps your API connect faster with partners, platforms, clubs, and ecosystem services.
What do we need to start?
You need API documentation, test access, one technical contact, and one clear pilot use case.
Ready to Launch Faster Partner Integrations?
Bring your API documentation and a clear pilot use case. OpenPadel AI brings the mapping flow, unified standards, testing process, and operational visibility.
Become a Partner