Transform APIs. Instantly.
Aggregate services, reshape data, and deploy API logic instantly — with native Rust performance and zero cold starts.
Rust runtime for dynamic backend logic
→ Paste a cURL → Get a production endpoint in 10 minutes
Start free. No credit card required.
For teams that update backend logic frequently
If you update API mappings, routing rules, fee logic, risk logic, or data shaping — xform.sh eliminates deployment cycles.
Before and after xform.sh
See how modern teams ship faster with complete visibility
Before
- ❌PR reviews + CICD + staging + redeploy
- ❌Logic changes require backend team
- ❌FaaS latency (100ms+)
- ❌Downtime risk with deployments
- ❌No visibility into transformations
- ❌Manual rollback procedures
- ❌Waiting for backend mocks
After
- ⚡Paste cURL → live API in 30 seconds
- ⚡Anyone can update logic (or AI)
- ⚡Native 0.04ms execution
- ⚡Zero-downtime canary releases
- ⚡12 metrics + live analytics dashboard
- ⚡One-click rollback with version history
- ⚡AI-powered mock APIs instantly
Stop deploying backend logic.
No more PR reviews, CICD pipelines, microservices, staging environments, or container spins just to change a mapping, fee rule, transformation, routing rule, or data shape.
With xform.sh, logic is dynamic — and motion is instant.
Enterprise-Grade Platform Features
Production-ready features for teams that need reliability, observability, and velocity.
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.
Turn APIs into AI Tools with MCP
Automatically expose your transformations as tools for LLMs using the Model Context Protocol (MCP). No extra code required — just deploy your transformer and it's ready for your AI agents.
Instant MCP Server
Every project gets a dedicated MCP-compliant SSE endpoint that lists your transformers as executable tools.
Claude Desktop Integration
Connect directly to Claude Desktop. Let Claude call your APIs to fetch data, execute logic, or trigger workflows.
Secure & Controlled
AI agents run through your transformed endpoints, ensuring they respect your logic, validation, and security rules.
Works with Claude, Cursor, and other MCP clients
From cURL to live API in 3 steps
Paste, generate, deploy — then watch it execute at native Rust speeds
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
API Gateway → Backend Services → xform.sh → External APIs / Databases / Partners / Clients
xform.sh does not replace microservices — it decouples the logic layer (transformations, routing, fees, personalization) so backend deployments are not required for logic updates.
Or use it as a Backend-for-Frontend (BFF): Since xform.sh endpoints can be public, you can aggregate multiple internal APIs into a single optimized response for your web & mobile apps.
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
}
All executed with native Rust performance
No deploy. No CICD. No cold starts. Update logic instantly without touching your backend services.
Note: Logic is authored in TypeScript for ergonomics, but executes as compiled native Rust — not JavaScript or WASM — ensuring 0.04ms execution time.
Stop waiting for backend deployments.
Ship logic instantly with sub-millisecond performance.
Build your first transformer in under 15 minutes — deploy to production without touching your microservices.