AI agents (Claude, Cursor, ChatGPT) increasingly call APIs as customers — but most SaaS aren't set up for it. We add the four discovery layers so agents can find and use your product: llms.txt · OpenAPI · MCP server · Agent Skill. Done-for-you, fixed price, in about two weeks.
Tell us your SaaS and we'll send a short, honest assessment of where it stands — no charge, no commitment.
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The parts that let an agent discover your product and actually call it.
A curated map agents crawl to understand your product and API.
A clean, machine-readable spec — the foundation agents build on.
Your useful endpoints exposed as agent tools, with an auth bridge and guarded writes.
Tells the agent when and how to use the tools — with examples.
A small, real example so you can judge the work before you talk to us.
We built an agent-ready package on the public, free Frankfurter exchange-rates API — chosen because it's open and needs no permission to demo.
| Layer | Before | After |
|---|---|---|
| llms.txt | — | ✓ added |
| Discoverable API | ✓ good REST | ✓ (unchanged) |
| MCP server | — | ✓ 4 tools, runnable |
| Agent Skill | — | ✓ with examples |
Result (illustrative): a good API with no agent layer → agent-ready. An agent can then answer “convert 250 USD to EUR” by calling the tools directly.
If you run a SaaS with an API, we'll make it agent-ready for you — you keep shipping your product, we handle the agent layer and keep it in sync as your API changes. We're a new studio taking our first customers, so the example above is a sample of the work, not a client reference.