We design and build professional REST and GraphQL APIs with clear documentation and strong authentication and authorisation. Security controls such as rate limiting and input validation protect your APIs from abuse. We deliver stable, versioned interfaces that let your teams and partners build on top with confidence.
What's included
- Resource-oriented REST design covering endpoint modeling, status codes, and request/response schemas
- Complete GraphQL schema design (types, queries, mutations, subscriptions) with N+1 resolution via batching and DataLoader
- API versioning strategy, backward compatibility, and a graceful endpoint deprecation policy
- Authentication and authorization with OAuth2 and OpenID Connect, JWT issuance, and fine-grained scopes
- Interactive documentation generated from an OpenAPI 3.1 contract plus a GraphQL schema explorer
- Input validation, pagination, filtering, and per-client rate limiting
Methodology & standards
Domain analysis, resource modeling, and API-contract definition before any code is written
Design-first: author the OpenAPI spec or GraphQL schema and review it with consuming teams to lock the contract
Iterative implementation backed by contract, unit, and integration tests running inside the delivery pipeline
Harden the security layer: authentication, authorization, input validation, rate limiting, and uniform error handling
Launch with monitoring and metrics, published documentation, and versioning in place
Deliverables
- A documented, versionable OpenAPI 3.1 spec and/or GraphQL SDL schema
- API source code including authentication, authorization, validation, and error-handling layers
- A contract and integration test suite with a coverage report
- An interactive documentation portal (Swagger UI or GraphQL Playground) with live examples
- A versioning guide covering backward compatibility and endpoint deprecation
- A load-test report with recommended rate limits per consumption tier
Regulatory controls it satisfies
Typical timeline
A typical API project runs 4 to 8 weeks depending on endpoint count, domain-model complexity, and integration requirements.
Common questions
How do we choose between REST and GraphQL?
We match the approach to consumption patterns: REST suits stable resources and simple caching, while GraphQL suits clients that need flexible, composed data from multiple sources, and the two can coexist where it helps.
How do you avoid breaking existing consumers on updates?
Through explicit versioning, additive non-breaking changes, and contract tests that catch any deviation from the agreed contract before release, alongside an announced deprecation window.
From the same practice