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API Design & Architectureby SoftwareCrafting

Type-safe, schema-first API layers - from RESTful conventions to real-time RPC and graph queries by SoftwareCrafting.

No sales calls. Written reply in under 4 working hours.

NDA-Protected
48hr Kick-off
7 Engineers
Founder-led Delivery
API Design & Architecture Services

Delivery Time

1-4 weeks depending on scope

Senior deliveryFounder-involved build team
From₹20,000

Service Overview

We design APIs that survive contact with real consumers and keep working as your product changes. That starts before any code: resource modelling, consistent naming and error semantics, pagination and filtering conventions, authentication and authorisation model, and an explicit versioning strategy so you can evolve without breaking every client. We work in REST, GraphQL, and tRPC, and we pick based on who is consuming the API rather than on preference. The contract is the deliverable as much as the implementation, which means OpenAPI or GraphQL schemas that are the source of truth, generated type safe clients, and contract tests that fail the build when the implementation drifts. We also design for the operational realities that break APIs in production: idempotency for retried writes, rate limiting and quotas, consistent error responses that clients can act on, and deprecation processes that give consumers a real migration window.

Technologies we use

GraphQLtRPCRESTgRPCOpenAPI / Swagger

Key Features

  • REST, GraphQL, and tRPC API design with the choice driven by consumers
  • Resource modelling with consistent naming, filtering, and pagination
  • OpenAPI and GraphQL schemas maintained as the source of truth
  • Type safe client generation for frontend and partner consumers
  • Authentication and authorisation design including scopes and permissions
  • Versioning strategy with backward compatible evolution rules
  • Idempotency keys for safe retries on write operations
  • Consistent, machine readable error responses
  • Rate limiting, quotas, and abuse protection
  • Webhook design with signing, retries, and replay endpoints
  • Contract testing so implementation cannot silently drift from the schema
  • Interactive documentation with working examples
  • Deprecation policy and consumer migration support
  • Performance review covering N plus one queries and payload size

Pricing Snapshot

₹20,000

Starting from ₹20,000 for API design and documentation

  • Model: project
  • Timeline: 1-4 weeks depending on scope
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Step-by-step

Our Delivery Process

We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.

01

Consumer and use case mapping

Establish who consumes the API, what they need, and what their constraints are before choosing a style.

3-5 days
02

Contract design

Model resources, conventions, error semantics, auth model, and versioning strategy as a reviewable schema.

1-2 weeks
03

Review with consumers

Walk the contract through with the teams who will use it and revise before implementation starts.

3-5 days
04

Implementation

Build against the contract with generated types, contract tests, and idempotency built in from the start.

2-6 weeks
05

Documentation and clients

Publish interactive documentation and generate client libraries for the main consumers.

1 week
06

Rollout and governance

Launch with rate limits and monitoring, then establish the deprecation and versioning process.

1 week
Why Us

Why Choose SoftwareCrafting?

  • An API contract clients can build on without surprises
  • Consistent conventions, so learning one endpoint teaches the rest
  • Type safe clients generated rather than hand written and drifting
  • Evolution without breaking existing consumers
  • Retried writes that do not create duplicate records or charges
  • Errors clients can handle programmatically instead of parsing prose
  • Rate limiting that protects the service without punishing good actors
  • Webhooks that consumers can verify, retry, and replay
  • Contract tests catching breaking changes before release
  • Documentation generated from the schema, so it cannot go stale
FAQ

Frequently Asked Questions

REST, GraphQL, or tRPC?

It depends on the consumer. REST suits public and partner APIs where broad compatibility, caching, and familiarity matter. GraphQL suits clients with varied data needs, particularly mobile apps wanting to avoid over fetching across many screens. tRPC suits a TypeScript frontend and backend in the same repository, where end to end type safety without a schema layer is the win. Many systems justify more than one.

How do we change an API without breaking clients?

Additive changes are safe: new optional fields and new endpoints. Breaking changes need a version, whether through a URL path, a header, or a GraphQL deprecation cycle. The part teams skip is the process around it: announce, provide a migration guide, instrument which consumers still use the old version, and only remove once usage reaches zero.

What is idempotency and why does it matter?

It means a request repeated with the same idempotency key produces the same result rather than a second side effect. Networks fail after the server has processed a request but before the client sees the response, and the client retries. Without idempotency that retry creates a duplicate order or a second charge. Any API with write operations needs it.

Should the schema or the code be the source of truth?

The schema, with contract tests enforcing it. When code is the source of truth, documentation drifts and consumers are surprised. When the schema leads, you can generate clients and documentation from it, review contract changes as a deliberate act, and fail the build when the implementation no longer matches.

How should webhooks be designed?

Signed payloads so consumers can verify authenticity, at least once delivery with exponential backoff, a stable event identifier so consumers can deduplicate, an event log endpoint so a consumer who was down can replay, and a dashboard showing recent delivery attempts. Most webhook implementations skip replay, which turns any consumer outage into permanent data loss.

Can you review an API we already have?

Yes. An API review typically covers consistency, error semantics, auth model, pagination, versioning readiness, idempotency, rate limiting, and performance issues such as N plus one queries and oversized payloads. You get a prioritised report and, where you want it, help implementing the changes without disrupting existing consumers.
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