SaaS Product Development
APIs that partners, apps and AI tools can rely on
A good API turns your product into a platform. We design and build APIs that are consistent, secure, documented and ready for apps, partners and AI agents.
The problem
The problem this solves
Most APIs grow by accident. An endpoint is added for the mobile app, another for a partner, another for an internal report. Names and formats differ. Errors are vague. There is no versioning, so every change risks breaking someone. Nobody outside the original team can use it without a call.
That matters more than ever. Customers expect to connect your product to their other tools. Partners want to integrate. And AI agents increasingly need a clean API to look things up and take actions on a user's behalf. A messy API blocks all of that.
We design APIs deliberately. A consistent REST structure, predictable JSON formats, clear error messages, authentication and rate limits, versioning that lets you improve without breaking clients, and webhooks so others can react to events. Then we document it well enough that a developer can integrate without talking to you.
An API is also a promise. Once others build on it, changing it has a cost. That is why we spend real time on naming, structure and versioning before the first external developer sees it.
We also think about the people on the other side. Clear error messages save support time, a sandbox lets partners test without touching real data, and a changelog tells them what changed and when. Good developer experience is what turns an API from a cost into a reason customers choose you.
What you get
What you get
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API design
Resources, endpoints, formats and errors designed and reviewed before code is written.
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Authentication
API keys, OAuth or tokens scoped to exactly what each client may do.
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Rate limits and quotas
Protection against abuse and runaway clients, with clear limits per plan.
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Webhooks
Signed event notifications with retries, so integrations react in real time.
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Versioning
A versioning policy that lets the API evolve without breaking existing clients.
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Documentation
OpenAPI specs, examples, SDK snippets and a getting-started guide.
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Monitoring
Usage, errors and response times tracked per client and endpoint.
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AI-ready access
Optional MCP server so AI assistants can use your API safely.
How we build it
How we build it
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1
Use cases
We list who will call the API and what they need to do.
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2
Design and review
An OpenAPI specification written first and reviewed with future users.
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3
Build
Endpoints, auth, limits and webhooks built against the specification, with tests.
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4
Document
Reference docs, examples and guides published for developers.
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5
Launch and monitor
Released to first clients, then monitored and improved.
AI and people
Where AI helps, where people decide
AI makes the repetitive parts faster. The decisions that shape your product stay with experienced people.
Where AI speeds things up
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Drafting the OpenAPI specification from use cases.
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Generating endpoint code, validation and tests from the spec.
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Writing documentation, examples and SDK snippets.
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Checking endpoints for inconsistent naming and formats.
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Building an MCP server that wraps the API for AI tools.
Where people decide
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The resource model and naming that clients will live with for years.
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What each client is allowed to access.
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Versioning and deprecation policy.
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Rate limits and pricing for API usage.
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When the API is stable enough to publish.
Is this right for you?
When this is the right choice
A good fit when
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Customers or partners ask to integrate with your product.
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You are building a mobile app or several front ends on the same data.
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You want AI agents to use your product safely.
Consider something else when
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You only need two existing tools to share data. See API integration instead.
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Nobody outside your own web app will ever call it yet.
Timeline and cost
What affects the timeline and cost
A focused API with a handful of resources, auth and docs can be ready in a few weeks. Public APIs with many resources, webhooks, SDKs and partner onboarding take longer and are best released in stages.
We do not publish fixed prices because scope drives cost. How we estimate.
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Number of resources
Each resource and its operations add design, build and documentation work.
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Audience
A public API needs more polish, docs and protection than an internal one.
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Auth model
OAuth for third-party apps is more work than simple API keys.
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Webhooks
Reliable delivery with retries and signing adds infrastructure.
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SDKs
Client libraries in several languages add build and maintenance work.
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AI access
An MCP server or AI-friendly endpoints add design and security review.
Keep exploring
Related services, solutions and reading
Related services
View all related services- SaaS Product Development MVPs, subscription platforms, admin panels and multi-tenant products, planned to grow past the first launch.
- API integration Make two systems share data reliably, with retries, logging and alerts when something goes wrong.
- User management and authentication Sign-up, login, roles and permissions done properly, including single sign-on for business customers.
- Automation and Integrations CRM, payment and API integrations, MCP connections and workflows that stop people copying data by hand.
- MVP development A first version with just enough features to put in front of real users and learn what to build next.
- Admin panels The back-office screens your team uses to manage users, content, orders and settings without a developer.
Solutions
View all solutions- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- AI sales research agent Short, sourced briefings on each prospect before a call, drafted by an AI agent from public information and your CRM.
- Invoice processing Read supplier invoices, match them to orders and push approved ones into accounting, with exceptions flagged for review.
- Payroll automation Turn pay rules, attendance and leave into tested software so the monthly run becomes a review and payslips go out in one batch.
Industries
View all industries- SaaS and startups MVPs, subscription billing, AI features, multi-tenant platforms and scaling support for founders and product teams.
- Logistics and transportation Driver apps, order and shipment tracking, document processing and integrations for logistics and delivery companies.
- Finance and accounting Client portals, document collection, invoice and receipt processing, and reporting for accounting firms and finance teams.
AI models
View all ai models- Coding Models that write, review and explain code, and power coding assistants and developer tools.
- Claude Fable 5.1 The top tier of the Claude family, for the most demanding reasoning and long-horizon agent work, priced above Opus.
- Claude Opus 5.5 Anthropic's recommended starting point for most serious work: long-running agentic coding and knowledge work, with a 1M token context window.
- GPT-6 Astra OpenAI's most capable model, built for the hardest end-to-end work: complex reasoning, coding, computer use and research.
- DeepSeek V4 Pro DeepSeek's model for demanding reasoning and agent work, with thinking effort levels, tool calling, JSON output and a 1 million token window.
- Grok 4.7 xAI's current flagship for coding, agent tasks and knowledge work, with image input, tool calling, structured outputs, reasoning effort levels and a 500K window.
MCP servers
View all mcp servers- Developer tools Servers for code hosting, version control, files, containers, error tracking and documentation lookup.
- Amazon Selling Partner API Amazon's SP-API MCP server helps sellers and developers explore the Selling Partner API, generate code and run API calls, with approval for writes.
- Fetch The MCP project's reference Fetch server lets AI download a web page and read it as clean text or markdown.
- Mailchimp Transactional Mailchimp's official MCP server covers Mailchimp Transactional (Mandrill): account status, templates, API help and send diagnostics.
- n8n n8n's official instance-level MCP server lets AI search, run, build, update and publish workflows and look up nodes and credentials.
- Playwright Microsoft's Playwright MCP server lets AI drive a real browser: open pages, read them, click, type, fill forms and take screenshots.
Glossary terms
View all glossary terms- API An API, or application programming interface, is a defined way for one piece of software to request data or actions from another.
- REST API A REST API is a common style of web API where systems use standard web requests, such as GET and POST, to read and change resources at specific URLs.
- JSON JSON is a simple text format for structured data, made of names and values, that most software and APIs use to exchange information.
- Webhook A webhook is an automatic message one system sends to another's web address when something happens, such as a payment or a new order.
- Backend The backend is the part of an application that runs on servers, storing data, applying business rules and serving the frontend through APIs.
- API integration An API integration connects two or more systems through their APIs so data and actions flow between them automatically.
FAQ
Questions about API development
Have a question that is not here? Ask us directly.
Consistency, clear errors, good documentation, sensible authentication and a promise not to break clients without warning. A developer should be able to integrate from the docs alone.
REST suits most business APIs and is easiest for partners. GraphQL helps when many front ends need very different slices of the same data. We choose based on who will use it.
Yes. A clean API can be wrapped in an MCP server so AI assistants call it with defined permissions. See MCP integration and what MCP is.
Yes, that is our API integration service. This page is about building your own API for others to use.