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The problemA customer asked for API access, and all you can say is "coming soon".

API Development Services: Give Customers the API They Keep Asking For

In shortAPI development services build and document an API so your customers, partners, mobile app or AI tools can reach your data safely, with authentication, rate limits and versioning. We price API work from $1,800 for simpler jobs, with custom API builds from about $5,000, typically delivered in 1–4 weeks, for SaaS and B2B teams without a backend developer.

It usually starts with an email from a customer or partner: do you have an API? You say "coming soon", and the deal stalls or goes to a competitor that already integrates. Or the backend you started on, a Google Sheet, an Airtable base, a Bubble app or Firebase, starts hitting rate limits, slowing to a crawl or sending a bill that makes no sense.

We build the API your business needs: endpoints for a partner, a public API for customers, a backend for your mobile app, or an MCP server so AI tools can use your product. Each one comes with authentication, rate limits, versioning and documentation a developer can read in an afternoon. If you only need two existing tools connected, that is our API integration service.

Starts from
$1,800
Typical timeline
1–4 weeks
Get a fixed quote
Animation: an orders endpoint reads straight from a Google Sheet with no authentication and returns every row, flagged, then the fixed lines add authentication, a real query and paging, and three checks pass.
Fig. — Before: an endpoint on a spreadsheet with no keys. After: authenticated, rate-limited and documented.

Sound familiar?

These are the moments that send teams looking for API development. Each has a specific fix.

A customer asked for API access and we keep saying "coming soon"

Deals stall or go to competitors that already integrate. More customers now want their own AI tools to reach your product too.

What we doWe design and ship a documented, versioned API for the partner or customer who asked, with keys they manage, so you can answer yes with a date.

Our app uses a Google Sheet as its database

When the per-minute quota trips, requests fail and you can only wait it out, often at the busiest moment. Past a few thousand rows it is the wrong tool.

What we doWe move the data into a real database with an API in front of it, and keep the sheet as an export if your team likes working in it.

Hitting the Airtable API rate limit on a big base

Syncs and customer portals stall, and workarounds such as extra bases, delays and extra accounts add cost and fragility.

What we doWe put a database and cache behind your portal so customer traffic never hits Airtable directly, or move the base off Airtable once it has outgrown it.

Our Bubble or Firebase bill is tiny, then suddenly huge

One runaway loop, bot or missing limit can turn a normal month into a bill that hurts a small company, and slow pages lose users along the way.

What we doWe build the backend with rate limits, quotas and spend alerts from day one, so a loop or a bot hits a wall instead of your card.

We built it with an AI builder and the API keys are exposed

Strangers can read customer data or spend your AI credits, and you may have to send a breach notice.

What we doWe move keys to the server, check authentication on every endpoint and test that one customer cannot read another's data. Careful engineering, not a certified pentest.

Our API takes seconds to answer and the app just spins

Timeouts, abandoned sign-ups and checkouts, and partner integrations that fail. The usual causes are missing indexes, repeated queries and no caching.

What we doWe measure each slow endpoint, fix the queries and indexes, add caching where it is safe, and test the API against an agreed response-time target.

This is for you if

  • ✓A customer or partner has asked for API access and you have no answer yet
  • ✓Your mobile app or AI feature needs a backend that can take real traffic
  • ✓Your backend is a Google Sheet, Airtable, Bubble or Firebase, and it is hitting limits
  • ✓You want AI tools such as ChatGPT or Claude to use your product through an MCP server
  • ✓You inherited an API that nobody documented

This is probably not for you if

  • ✕You only need two existing tools to share data. That is API integration, and it usually costs less
  • ✕A no-code connector like Zapier already does it well. We will tell you if that is the case rather than sell you a build

We would rather tell you now than take the project and disappoint you.

API development services at a glance

Starts from$1,800 for simpler jobs; custom API builds from about $5,000
Typical timeline1–4 weeks
Best forSaaS, marketplace and B2B teams of 5–50 without a backend developer
Not forConnecting two existing tools; that is API integration
What you getEndpoints, authentication, rate limits, versioning, documentation and tests
API stylesREST, GraphQL, webhooks and MCP servers for AI tools
After launchAlerting set up at launch; ongoing care on a maintenance plan
What you ownThe code, the documentation and the hosting account

Worth knowing: Most API trouble starts after launch, not before. A partner builds on version one, you rename a field, and their integration breaks overnight. We version every API from the start, announce changes in writing, and keep old versions running for an agreed period, so mobile apps and partners have time to move.

What you get

Custom API builds

REST or GraphQL endpoints, authenticated, rate-limited, versioned and documented.

Authentication and keys

API keys or OAuth that customers can create and revoke, checked on every request, and never exposed in the browser.

Rate limits and spend caps

Limits per key and alerts on usage, so a bug or a bot cannot run up your bill.

Webhook handling

Sending and receiving events reliably, including the retries and idempotency that stop a duplicate webhook charging someone twice.

MCP server for AI tools

An MCP server on top of your API, so assistants such as ChatGPT or Claude can use your product with the same permissions as a user.

Error handling that tells you

Failures alert someone. Silent failure is how data quietly goes missing for months.

Documentation

An OpenAPI reference plus plain-English guides: what each endpoint does, what it expects and what to do when it breaks.

Film · 22 seconds

From "coming soon" to an authenticated, documented API

A 22-second look at an API we build: keys and authentication on every route, rate limits and spend caps, webhooks and documentation. From $1,800, 1–4 weeks.

What the film says

Customers want API access. You keep saying "coming soon". Deals stall or go to rivals. A Google Sheet as your database. One runaway loop, one huge bill. There’s a better way. API development: the API your customers keep asking for. Authentication and API keys. Rate limits and spend caps. Webhooks, docs and an MCP server. From $1,800 · 1–4 weeks · fixed quote. Get a fixed quote. pixelandoak.com/services/api-development

How much does it cost to build an API, and how long does it take?

Our API work starts at $1,800 for simpler jobs, such as a small set of read-only endpoints over data you already have. Custom API builds with authentication, several resources, webhooks and documentation start from about $5,000. Most take 1–4 weeks. What moves a project toward the longer end:

  • How much it covers — A few read-only endpoints sit at the short end; dozens of resources with write access sit at the long end.
  • Who uses it — An internal API for your own app needs less ceremony than a public API that strangers build on.
  • Where the data lives now — Moving off a spreadsheet, Airtable or Firebase adds a migration and a dry run.
  • Write access and money — Endpoints that change data or touch payments need idempotency, audit logs and more testing.

You get a fixed quote before work starts.

Is using Google Sheets as a database a good idea? When to move your backend

For a prototype, yes. A sheet, Airtable or Bubble gets an idea in front of customers quickly. It stops being a good idea when these warning signs show up:

  • Requests fail with quota or rate-limit errors at busy times
  • Pages slow down once you pass a few thousand records
  • The monthly bill grows faster than revenue, or spikes without warning
  • A customer or partner needs an API, and the tool cannot give them a safe one
  • You need permissions finer than "can see the whole base"

Moving usually means a real database with an API in front of it, your data migrated after a dry run you can check, and the old tool kept as a read-only export or admin view if your team likes it.

Who will use your API? Partners, customers, apps or AI agents

The right design depends on who is on the other end. This is what changes:

API forWhat matters mostWhat we add
A partnerStable fields and clear docsVersioning, a sandbox key and a written change policy
Customers (a public API)Self-serve keys, limits and support loadKey management, rate limits per plan and an OpenAPI reference
Your mobile appSpeed, and old app versions still workingCaching, pagination and old versions kept alive while users update
Internal toolsGetting work done without exposing dataRole-based access and audit logs
AI agents (MCP)Safe, limited actionsAn MCP server with scoped permissions and logging

What we build it with

Deliberately mainstream choices. You should be able to hand this to any competent developer later without them needing to learn something exotic first.

Front end

Next.js, React, TypeScript, Tailwind CSS

Back end

Node.js, Next.js API routes, Cloudflare Workers

Database

Postgres, Supabase, Cloudflare D1 and KV

CMS

Sanity, Payload, headless WordPress, or plain Markdown

Payments

Stripe, Shopify, WooCommerce

AI

OpenAI, Anthropic, and open models where they fit better

Hosting

Vercel, Cloudflare Pages — in your account, not ours

Analytics

Plausible, Fathom, GA4, Search Console

Industries we build for

We work with any business that wins work on trust. These are the ones we have written about at length.

Not sure whether a custom API is what you actually need? Send over what you are trying to fix and we will tell you straight — including if a smaller job would do it.

Ask us first →

How it works

1

Map who uses it

Who calls the API, what they need to read or change, how often, and what happens when it fails.

2

Check the simple option first

If an existing tool or connector does the job, we say so.

3

Build and test against real data

Including the failure cases, because those are what you will actually meet.

4

Launch with alerting

Alerts set up at launch so a failure reaches a person. Ongoing watching and fixes are part of a maintenance plan.

Who works on it

AI agents from our Engineering and Quality & Security divisions do the work, in parallel. Haider Ali, founder and CEO, agrees the plan with you and signs off everything before it reaches you.

Questions

How much does it cost to build an API?

Our API work starts at $1,800 for simpler jobs. Custom API builds with authentication, rate limits, versioning and documentation start from about $5,000. The cost driver is rarely the happy path; it is the error handling, security and edge cases that make an API safe for other people to build on.

How long does it take to build an API?

Most of our API projects take one to four weeks. A few read-only endpoints over existing data sit at the short end. A public API with write access, webhooks, a migration off a spreadsheet or Firebase, and full documentation sits at the long end.

What is the difference between API development and API integration?

API development builds a new API so others can reach your data: partners, customers, your app or AI tools. API integration connects tools that already have APIs, such as your CRM and accounting software. We do both; integration is a separate service and usually smaller.

Is using Google Sheets as a database a good idea?

For a prototype, yes. Past a few thousand rows, or once customers depend on it, quota errors, slow pages and weak permissions start to bite. That is the time to move the data into a real database with an API in front of it.

Can my API work with ChatGPT, Claude or other AI agents?

Yes, through an MCP server, the standard many AI assistants use to call outside tools. We build it on top of your API with scoped permissions and logging, so an assistant can only do what a user with the same access could do.

Do I need an API gateway?

Not usually at first. Authentication, rate limits and logging can live in the API itself. A gateway earns its place when you run several services, need per-plan quotas across them, or want one place to manage keys. We will tell you when you get there.

How do you keep an API secure?

Keys stay on the server, every endpoint checks who is calling and what they may see, rate limits stop abuse, and tests confirm one customer cannot read another's data. That is careful engineering, not a certified penetration test or a SOC 2 audit.

What happens when we need to change the API?

We release a new version and keep the old one running for an agreed period, with the change announced in writing. Partners and old mobile app versions keep working while they move, instead of breaking the morning you ship.

What if the API breaks after launch?

We set up alerting at launch, so a failure reaches a person instead of a customer finding it first. Keeping the API working as the services it depends on change is covered by a maintenance plan, quoted separately.

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