Moxace
Contracts, Not Surprises. AI-Assisted Delivery.

API Development Services

AI-augmented API development: contract-first REST, GraphQL, and gRPC services with versioning, docs, and security engineered in, plus 60 days of post-launch support on every build.

2010
Operating since
9,000+
Projects delivered
3,900+
Apps published
120+
AI products shipped

Trusted by the brands we build for

  • Etihad
  • Heineken
  • Marvel Studios
/01
Since 2010
Building Software
/02
9,000+
Projects Delivered
/03
3,900+
Apps Published
/04
25+
Countries Served

What our API development services cover

Interfaces other teams can build against confidently, whether they sit in your company or outside it.

service

REST API development

Resource-driven REST with consistent conventions, generated OpenAPI documentation, and error semantics your consumers can actually code against.

  • ✓OpenAPI-first contracts
  • ✓Consistent error and pagination shapes
  • ✓Idempotency on unsafe methods
  • ✓Generated SDKs for clients
service

GraphQL APIs

Typed schemas with sensible complexity limits, so mobile and web teams get the data they need without six round trips or a server that falls over.

  • ✓Schema design and federation
  • ✓Query complexity and depth limits
  • ✓DataLoader batching
  • ✓Persisted queries for clients
service

gRPC and internal service meshes

High-throughput service-to-service communication with typed contracts, for systems where latency and streaming matter more than browser friendliness.

  • ✓Protobuf contract design
  • ✓Streaming and bidirectional flows
  • ✓Retry and deadline propagation
  • ✓Interoperability with REST edges
service

API security and auth

OAuth2, API keys, rate limiting, and abuse controls designed as architecture rather than sprinkled on after a security review finds the gaps.

  • ✓OAuth2 and OIDC flows
  • ✓Scoped tokens and key rotation
  • ✓Rate limiting and quotas
  • ✓Audit logging on sensitive access
service

Integration and partner APIs

Connecting to payment rails, ERPs, CRMs, and data providers, and building the partner-facing APIs your ecosystem will judge you on.

  • ✓Third-party API integration
  • ✓Webhook systems with retries
  • ✓Partner onboarding and sandboxing
  • ✓Legacy system adapters
service

API audits and modernisation

Versioning strategies for APIs that grew organically, documentation debt paid down, and breaking-change management that stops angering your best customers.

  • ✓API design and security audits
  • ✓Versioning and deprecation plans
  • ✓Documentation and DX overhaul
  • ✓Contract test suites

What every engagement includes

Every API project ships with the following, agreed in writing before the first sprint begins.

Discovery workshop

A structured workshop maps your goals, users, and constraints into a scoped API roadmap with a fixed written quote before any sprint starts.

Named senior team

You get named, senior engineers with CVs you can review, not a rotating bench. The people in the kickoff are the people who ship.

Sprint demos every two weeks

Working builds are demoed live each cycle with CI running on every merge, so progress is visible in software, not slideware.

100% source-code ownership

All API source, configurations, designs, and documentation transfer to you on delivery with no licensing strings or vendor lock-in.

60 days of post-launch support

Engineering time is on standby for two months after go-live to triage defects, tune performance, and stabilise the release at no extra cost.

12 months of free updates

Compatibility updates, security patches, and framework upgrades ship free for a full year after handover.

insight

When you need deliberate API engineering

Any product with more than one client (web, mobile, partners, internal tools) lives on its API contracts. The time to design them deliberately is before the second consumer arrives, because after that every rename is a negotiation and every breaking change is a support incident.

APIs are usually one layer of a larger build, so this work often runs inside our full stack development services engagements, or as the backend layer beneath our Next.js development services front ends. For products where the API serves AI features, our AI development services practice handles the model side of the contract.

The stack behind our API builds

Tooling we use by default, per protocol and need.

/01

Design-first tooling

OpenAPI 3.1 or GraphQL schemas authored and reviewed before implementation, with Spectral linting and generated mocks so client teams start in week one.

/02

Runtime stacks

Node.js with Fastify or NestJS, Python with FastAPI, or Go for latency-critical paths, chosen per service against throughput and team-maintenance realities.

/03

Auth and edge

OAuth2 and OIDC via proven providers or self-hosted solutions, gateway-level rate limiting and caching, and mTLS for internal service traffic where it is warranted.

/04

Data and async

PostgreSQL with safe migration tooling, Redis for caching and idempotency, and event-driven patterns (outbox, webhooks with signed payloads and retries) for side effects.

/05

Testing and quality

Contract tests on every merge, consumer-driven contracts where partner teams depend on us, fuzzing on public endpoints, and load tests against stated traffic targets.

/06

Docs and DX

Generated reference docs with runnable examples, sandbox environments with seeded data, and changelogs automated from the contract repo so docs never lie.

How an API project runs

Contract first, proven under load, documented honestly.

pipeline
  1. 01

    Discovery

    We map consumers, traffic expectations, and data ownership, then agree protocol and scope. The contract is the deliverable, so we start designing it immediately.

    ✓ step 01 complete
  2. 02

    Contract design

    Schemas, error semantics, versioning, and auth flows are designed and reviewed with the consumer teams before implementation. Mocks ship the moment the contract lands.

    ✓ step 02 complete
  3. 03

    Setup

    CI with contract linting, environments, sandbox data, and generated SDK pipelines are scaffolded, with a walking-skeleton endpoint live on staging early.

    ✓ step 03 complete
  4. 04

    Sprint delivery

    Two-week sprints implementing against the frozen contract. Consumer-driven tests keep the promise enforceable, and docs regenerate automatically on every merge.

    ✓ step 04 complete
  5. 05

    Hardening and launch

    Load tests against stated targets, security review (auth, injection, enumeration), and a deprecation and versioning policy published before the first external consumer.

    ✓ step 05 complete
  6. 06

    Support and handover

    60 days of included support, 12 months of free updates, and runbooks plus architecture docs so your team can evolve the API without us.

    ✓ step 06 complete
/07

Why teams choose our API engineers

An API is a promise. We build the kind that survives contact with real consumers.

Contract-first discipline

Schemas are designed, reviewed, and mocked before implementation starts, so client teams build in parallel instead of waiting on our sprint cadence.

Breaking changes managed, not apologised for

Versioning, deprecation windows, and consumer-driven contract tests are set up from the first release, which is why our APIs do not generate support fires.

Security as architecture

Auth, rate limiting, and audit logging are designed with the contract, not patched in after a pen test. Public endpoints get fuzzed before launch, not after an incident.

AI-augmented delivery

AI tooling accelerates contract tests, documentation, and review while senior engineers own the interface design. Better docs, fewer regressions, same engineers.

Load proven to numbers

We ask for your traffic expectations numerically and prove them under load with headroom documented, because 'it seemed fast in staging' is not a capacity plan.

Track record since 2010

9,000+ projects delivered across 25+ countries, including APIs serving millions of requests and multi-partner ecosystems.

API development FAQs

REST remains the right default for public and partner APIs: universally understood, cacheable, and tooling-rich. GraphQL suits products with many varied client needs hitting one backend, cutting round trips at the cost of complexity controls. gRPC fits internal service-to-service traffic where latency and streaming matter. Most of our clients run a hybrid: gRPC inside, REST at the edge. We recommend per service, not per fashion.

$ moxace launch --now

Building an API other teams will depend on?

Tell us who consumes it and how much traffic you expect. We will design the contract and quote the build, fixed.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

$ moxace launch --now

Ready to Ship an API Worth Building On?

Talk to our API team about contract-first development with AI-augmented delivery, 60 days of support, and full source-code ownership.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

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