REST for straightforward resource access and public APIs where caching matters. GraphQL when clients need wildly different shapes of the same data and you are tired of adding endpoints. Most products are well served by REST; we recommend GraphQL when the query pattern genuinely justifies it.

Our integration keeps silently failing. Can you fix it?

Usually, and the fix is almost always structural: no retries, no idempotency, and no alerting. We add all three, then backfill whatever was lost while it was failing quietly.

Can you integrate with a legacy system that has no API?

Often yes — via database replication, file drops, screen-level automation or a thin adapter service in front of it. We scope the least fragile option available rather than promising a clean one that does not exist.

Systems that talk

API Development & Integration

API development builds the interfaces software uses to talk to other software: REST and GraphQL endpoints, authentication, rate limiting, versioning and documentation, plus integrations with third-party services such as payment, CRM, ERP and shipping providers.

Talk about API See the work

01BuildSoftware that holds up after launch day.

Starts from: ₹90k
Typical timeline: 2–6 weeks

Tools & stack

Node.js
TypeScript
GraphQL
OpenAPI
PostgreSQL
Redis
AWS
Postman

Outcomes

Every endpoint: Documented; Every endpoint
No breaking changes: Versioned; No breaking changes
Safe to retry: Idempotent; Safe to retry

9 deliverables

What's included

REST and GraphQL APIs, third-party integrations and the webhook plumbing that makes your systems behave like one system.

REST or GraphQL API design and build
OpenAPI / schema documentation
Authentication (OAuth2, API keys, JWT)
Rate limiting, quotas and abuse protection
Versioning strategy and deprecation policy
Webhooks with retries and signature verification
Third-party integrations (CRM, ERP, payments, shipping)
Legacy SOAP / XML bridging
Monitoring, logging and error alerting

4 steps

How it works

Typical timeline: 2–6 weeks

01
Contract first
The schema is agreed and documented before implementation, so your front-end team can build against a mock while the back end is written.
02
Build for failure
Idempotency keys, retries with backoff and dead-letter handling. Integrations fail in production; the question is whether yours lose data when they do.
03
Secure and limit
Authentication, scopes, rate limits and input validation — before launch, not after an incident.
04
Document and monitor
Living API docs plus dashboards and alerts on error rate and latency, so a broken integration surfaces to us rather than to your customers.