The problem
Most AI features are thin wrappers that hallucinate, ignore permissions, and take weeks to integrate. By the time you find out it doesn't work, you've already wasted the budget.
Turn your API spec into a working AI agent in minutes. Not a demo. Not a mockup. Your API, your business rules, running with all your permissions and authentication still in place.
A week of integration to evaluate one AI tool
Point it at your API spec, see it working in minutes
Every vendor pitches "AI-powered" everything
Your API, your business rules, actually running
Another chatbot demo that doesn't do anything real
Agent that calls your endpoints, respects your permissions
What you get
1
Your customers talk to your API in plain English. The assistant understands their intent, calls the right endpoints, and gets things done — no documentation needed.
2
Every API capability becomes a single command. Script it, automate it, pipe it into workflows. Works with local AI agents like OpenClaw out of the box.
3
Your API becomes a tool that works inside ChatGPT, Claude, Cursor, and any MCP-compatible AI client. Your customers can use your product from inside the tools they already work in.
Integrations
Your agent isn't limited to your API. With addons, it can work with any service that has an API — Stripe for payments, Slack for messaging, PostgreSQL for data, and more.
Tell your agent: "When a new customer signs up, create their Stripe account, add them to the database, and send a welcome email." It builds that workflow from your connected services — and it runs automatically from then on.
20 addons
|
208 tools
Stripe
Payments, customers, coupons, sources, tokens, and meter events.
Shopify
Products, orders, customers, and inventory via the Admin API.
Plentymarkets
Orders, items, stock, warehouses, payments, and contacts.
Gmail
Messages, drafts, labels, and threads via the Gmail API.
Slack
Messaging and workspace management.
Telegram
Bot API for messaging and chat management.
Business Cloud API and Baileys Web client messaging.
PostgreSQL
Full database operations — queries, tables, schemas, and more.
AI cost control
Most AI tools burn money on every single interaction. We use a fundamentally different approach: the AI designs the workflow once, then it runs natively — no AI involved. Same task, zero recurring cost.
Other AI tools
✕
AI runs on every request
✕
Costs scale linearly with usage
✕
Same task = same cost, every time
✕
AI decides what to do at runtime
✕
Unpredictable monthly bills
Our approach
✓
AI designs the workflow once
✓
Repeat runs cost zero AI tokens
✓
Costs flatten as usage grows
✓
Approved workflows run exactly as designed
✓
Predictable, near-zero AI spend
Example: 8-step workflow running 50 times/day
~$14,400/yr
Traditional AI approach
~$1.20/yr
With our approach
The AI only runs once to design the workflow. Every subsequent run is native — zero tokens.
Security & control
The biggest risk with AI isn't that it's wrong — it's that it does something you didn't authorize.
Optional approval workflows
Review every step before it runs, or let trusted workflows execute automatically. You choose the level of control — from full approval to fully autonomous.
Your permissions carry over
If a user can't access billing data in your product, the AI can't either. Your existing roles, permissions, and access controls are enforced automatically.
The AI can't go rogue
Once a workflow is approved, it runs exactly as designed — no AI in the loop to hallucinate, skip steps, or invent actions that weren't authorized.
No elevated privileges
Other AI tools run with admin-level access. Your agent runs with the same permissions as the user who triggered it. The AI can never do more than the user can.
Full audit trail
Every conversation, every proposed workflow, every approval, and every execution is logged. You always know what happened, when, and who authorized it.
Deterministic execution
Approved workflows produce the same result every time. No model temperature, no variance, no "sometimes it does something different." Consistent and predictable.
How it works
1
Upload your API specification (or pick from popular APIs to try). We read your API and understand every capability your product has.
2
Pick which interfaces you want — an AI assistant for customers, command-line tools for your team, or platform integrations for AI tools. Mix and match.
3
In minutes, you have a fully working project. An AI assistant that knows your product, a CLI for your team, and integrations for any AI platform. Ready to deploy.