The API Platform for AI Agents
Transform APIs instantly. Aggregate services, Reshape data and deploy API logic — with native performance and zero cold starts.
Start free. No credit card required.
Turn APIs into AI Tools with MCP & A2A
Expose your transformations as tools for LLMs via the Model Context Protocol (MCP)—no extra code. Or build the platform: host MCP servers and Agent-to-Agent (A2A) interfaces so any company can publish their APIs for AI and autonomous agents.
Instant MCP Server
Every project gets a dedicated MCP-compliant SSE endpoint. Use it in Claude, Cursor, or other MCP clients—or host MCP for your customers with no extra infrastructure.
Agent-to-Agent (A2A)
Standardize how agents talk to each other. Publish A2A interfaces so autonomous agents can discover and execute tasks against your APIs.
Secure & Governed
AI and agent traffic runs through your transformed endpoints. Control access with authentication, rate limiting, and audit logging.
Works with Claude, Cursor, and other MCP clients
Built for production
Enterprise-Grade Platform Features
Reliability, observability, and safe rollout—so your team can ship faster without breaking things.
Multiple API Support
Combine data from multiple sources. Parallel execution or sequential chaining with smart mock matching.
Testing & Simulation
Contract verification and manual simulation before deployment. Test with custom inputs and mocks.
Canary Releases
Deploy with confidence using percentage-based traffic splitting. Instant rollback if issues arise.
Live Debugging
Structured logging with color-coded output. Environment-aware verbosity and external service integration.
Live Analytics Dashboard
Real-time monitoring with 12 key metrics. Interactive charts, auto-refresh, and latency breakdown.
Mock API System
Create instant mock endpoints with AI-generated responses. Configurable latency, collections, and cURL import.
AI On-Call
When external APIs fail or drift, get AI-generated root cause analysis and suggested code patches. Alerts on 5xx and schema drift, with configurable sampling and PII masking.
Learn moregRPC for All Transformers
Call every transformer via HTTP or gRPC. Strongly-typed contracts, lower latency, and a downloadable transformer.proto. Live debug and staging support gRPC too.
Code-as-Infrastructure & Zero Vendor Lock-in
Synchronize projects natively with private GitHub repositories for full GitOps version control and auditability. Develop locally using the xform-cli. Completely avoid cloud vendor lock-in by downloading your compiled .so native Rust binaries to run transformation logic entirely on-premise or within your own private Docker containers.
From cURL to live API in 3 steps
Paste, generate, deploy — then watch it execute at scale with sub-milisecond latency overhead
Paste your cURL command
Start with any API cURL command. Our wizard parses it and extracts the structure.
-H "Authorization: Bearer key" \
-H "Content-Type: application/json" \
-d '{ "user_id": "123", "amount": 200 }'
Parsed in milliseconds
AI generates TypeScript → Compiles to native Rust
transform(event) {
const data =
await event.json();
return {
id: data.user_id,
fee: data.amount * 0.007,
timestamp: Date.now()
};
}
Compiling...
TypeScript → Rust
Native binary
event: Request
) -> Response {
let data: Value =
parse_json(event);
json!({
"id": data["user_id"],
"fee": data["amount"]
* 0.007,
"timestamp": now()
})
}
Under the hood
TypeScript is developer-friendly, but Rust is performance-native. We compile to .so/.dylib libraries that are loaded into memory with zero cold starts and 0.04ms execution time. No JS runtime, no V8, no WASM overhead.
Deployed & live in production
Your endpoint is instantly live with a unique URL. Hot-loaded into the runtime — ready to handle production traffic.
"id": "123",
"fee": 1.4,
"timestamp": 1733483081
}
What happens now
- •Compiled binary loaded into memory
- •Hot-reload enabled (update without redeploy)
- •Version history tracked automatically
- •Metrics & logs streaming in real-time
Performance
Total time: ~10 minutes
From pasting cURL to production-ready endpoint with native Rust performance
Where xform.sh sits in your stack
The logic layer between your services and the outside world — no backend redeploys for transformation changes.
Real-world transformation examples
See how xform.sh handles single API proxying, parallel aggregation, and sequential workflows
Single API Proxy
Payment fee calculation with custom routing logic
Input Request
"user_id": "usr_123",
"amount": 10000,
"currency": "USD",
"payment_method": "card",
"region": "US"
}
Transformation Logic
Written by AIconst tax = fee * 0.08;
// Dynamic routing
const processor =
region === "US"
? "stripe"
: "adyen";
return {
...data,
fee, tax,
processor
};
Output Response
0.04ms"user_id": "usr_123",
"amount": 10000,
"currency": "USD",
"fee": 290,
"tax": 23.2,
"total": 10313.2,
"processor": "stripe",
"timestamp": 1704067200
}
Multiple APIs - Parallel Aggregation
User dashboard with data from 3 independent services
Source APIs (called in parallel)
API 1: User Service
{ "name": "John", "email": "..." }
API 2: Orders Service
{ "orders": [...], "total": 25 }
API 3: Analytics Service
{ "views": 142, "clicks": 38 }
Transformation Logic
Parallel Execution
Written by AIconst [user, orders, analytics] =
await Promise.all([
fetch(userAPI),
fetch(ordersAPI),
fetch(analyticsAPI)
]);
// Aggregate into single response
return {
user: {
name: user.name,
email: user.email
},
stats: {
orders: orders.total,
views: analytics.views,
engagement:
analytics.clicks /
analytics.views
}
};
Aggregated Response
"user": {
"name": "John Doe",
"email": "john@example.com"
},
"stats": {
"orders": 25,
"views": 142,
"engagement": 0.268
},
"generatedAt": 1704067200
}
Multiple APIs - Sequential Workflow
Order processing with dependent API calls
Sequential API Calls
Authenticate User
→ { "token": "eyJ...", "userId": "123" }
Fetch User Cart (using token)
Headers: { Authorization: token }
→ { "items": [...], "total": 299.99 }
Create Order (using cart)
Body: { userId, items, total }
→ { "orderId": "ord_456", "status": "pending" }
Transformation Logic
Sequential Execution
Written by AIconst auth = await fetch(
authAPI,
{ method: 'POST', ... }
);
// Step 2: Get cart using token
const cart = await fetch(
cartAPI,
{
headers: {
Authorization: auth.token
}
}
);
// Step 3: Create order
const order = await fetch(
orderAPI,
{
method: 'POST',
body: {
userId: auth.userId,
items: cart.items,
total: cart.total
}
}
);
return {
success: true,
orderId: order.orderId,
items: cart.items.length,
total: cart.total
};
Final Response
"success": true,
"orderId": "ord_456",
"items": 3,
"total": 299.99,
"status": "pending",
"processedAt": 1704067200
}
Stop waiting for backend deployments.
Ship logic instantly with sub-millisecond performance.