AI & Machine Learning
API Design Patterns Collection
200+ RESTful and GraphQL API design patterns: endpoint naming, versioning, pagination, error handling, authentication, rate limiting, and caching strategies. Anonymized from 40+ production microservices.
API designRESTGraphQLpatternsmicroservices
What's Inside
200+records
Formats: JSON, CSV
Last updated: March 15, 2026
Category: AI & Machine Learning
Fields included:
pattern_nametypemethodpath_templaterequest_schemaresponse_schemaauth_typerate_limit
Why This Data Is Hard to Get
- Anti-bot protection and rate limiting across sources
- Data scattered across hundreds of individual pages
- Requires continuous monitoring and incremental updates
- Normalization and deduplication across multiple schemas
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Sample Preview
| pattern_name | type | method | path_template | request_schema |
|---|---|---|---|---|
| sample data… | sample data… | sample data… | sample data… | sample data… |
| sample data… | sample data… | sample data… | sample data… | sample data… |
| sample data… | sample data… | sample data… | sample data… | sample data… |
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