API Development

REST & GraphQL API Development Services

PixoBots designs and builds REST and GraphQL APIs that web apps, mobile apps, partners and AI agents can depend on. Our dedicated developers work with AI tools to scaffold endpoints and data access, generate contract tests and keep OpenAPI docs in step with the code - on ASP.NET Core, Node.js or Python, including the payment, CRM, ERP and logistics integrations your platform needs.

Talk to an Expert

Our API development capabilities

  • check_circle REST API design & development
  • check_circle GraphQL schemas & resolvers
  • check_circle OAuth 2.0 & OpenID Connect security
  • check_circle OpenAPI specs & developer docs
  • check_circle API versioning & deprecation
  • check_circle API gateways, rate limits & quotas
  • check_circle Third-party & webhook integrations
  • check_circle Contract, load & security testing

What we deliver

Contract first

We agree the resources, fields, errors and auth model in an OpenAPI or GraphQL schema before code is written, so front-end and partner teams can build in parallel.

Build on your stack, faster

ASP.NET Core, Node.js or Python, matched to your platform - with AI tools scaffolding CRUD endpoints and tests, and a developer reviewing every change.

Secure by default

Token-based auth, scoped permissions, input validation, rate limiting and audit logging are part of the first release, not a later hardening phase.

Operate and evolve

Gateways, monitoring and a versioning policy let the API change without breaking the apps and partners already using it.

Explore related services

REST or GraphQL?

REST remains the sensible default for public and partner APIs: it is simple to cache, easy to secure at a gateway and understood by every client library. GraphQL earns its place when several front-ends need different shapes of the same data - a mobile app and a dashboard, for example - and you want to avoid chains of round trips or endpoints built for one screen.

Many platforms use both: GraphQL behind their own apps, REST for integrations and webhooks for events. We recommend per use case rather than picking one style for everything. Where services talk only to each other inside your network, gRPC can also be a good fit.

Versioning without breaking clients

Most API pain comes from change, not from the first release. We separate additive changes, which ship freely, from breaking ones, which go into a new version with a published deprecation window. Contract tests run in CI so an accidental breaking change fails the build instead of a customer's integration.

Integrations and the APIs you consume

Half of API work is calling other people's APIs. We build integration layers for payment gateways, CRMs, ERPs, shipping and messaging providers with retries, idempotency keys, webhook signature checks and clear error handling, so a slow or failing third party degrades one feature rather than your whole application.

Well-documented APIs are also what AI agents use to act on your systems, which is why we often expose the same endpoints through an MCP server.

Designing APIs that AI agents can use

An AI agent reads your API description the way a new developer would, only more literally. Operation names that say what they do, field descriptions with units and allowed values, consistent error bodies that explain how to fix the request, and pagination that is the same everywhere make the difference between an agent that completes a task and one that guesses. The same discipline makes the API easier for human developers too.

Agents also need tighter limits than people. We give them narrowly scoped credentials, separate read operations from ones that change data, require idempotency keys on writes so a retried call does not create a duplicate order, and log which agent did what. Exposing the API through an MCP server is optional - a clean OpenAPI contract is the foundation either way.

Rate limiting and abuse protection

Every public or partner API eventually meets a client stuck in a retry loop, a scraper or a credential-stuffing attempt. We apply limits per API key and per user at the gateway, return a clear status and a retry-after hint when a limit is hit, and set stricter limits on expensive operations such as search, exports and login. Request size limits, schema validation at the edge and alerts on unusual traffic patterns stop most abuse before it reaches your database.

Pixel & Bots

Pixel-perfect software, delivered at AI speed

PixoBots stands for Pixel & Bots. Our Bots are dedicated developers who work with AI tools: AI takes the repetitive work, a developer reviews every line, and the result is pixel-perfect.

Pixel

Polished UI and clean, tested code - detail is part of the job, not an afterthought.

Bots

Dedicated developers who join your team and use AI for boilerplate, tests and documentation.

Savings

AI-assisted delivery can save more than 50% of development cost compared with traditional development.

Talk to us about your API

Tell us about your goals and we'll get back to you within 24 hours.

Frequently asked questions

What does an API development service include? expand_more
It covers designing the API contract, building and securing the endpoints, writing documentation, testing, and deploying behind monitoring. We can also build the integrations that connect your API to third-party services such as payments, CRM or ERP systems.
Should we build a REST or a GraphQL API? expand_more
Choose REST for public and partner APIs, and consider GraphQL when several of your own front-ends need different views of the same data. Many systems use both, and we recommend per use case after reviewing your clients and data.
How do you secure an API? expand_more
We use OAuth 2.0 and OpenID Connect for authentication, scoped tokens for authorisation, and add input validation, rate limiting, secrets management and audit logs. Security tests run in the CI pipeline alongside functional tests.
Do you write API documentation? expand_more
Yes. Every REST API ships with an OpenAPI specification and generated reference docs, and GraphQL APIs ship with a documented schema. We add getting-started guides and example requests for external developers when the API is public.
Can you take over or fix an existing API? expand_more
Yes. We start with a review of the current endpoints, security and performance, then fix the highest-risk issues first and introduce versioning so improvements do not break existing clients.
How do you tell API consumers about a deprecation? expand_more
Early and in several places: a changelog entry, deprecation and sunset headers on the affected responses, a note in the reference docs and direct messages to registered consumers. Usage logs show who still calls the old version, so the team can contact them before it is switched off.