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Build secure APIs in minutes

How it works

From endpoint to production in three steps

Deploy authenticated, rate-limited APIs with auto-generated documentation—no boilerplate required.

  1. 1

    Step 1

    Define your endpoints

    Write your API routes using standard REST conventions. Our platform automatically validates request schemas and generates type-safe handlers.

  2. 2

    Step 2

    Configure authentication

    Choose from API keys, OAuth 2.0, or JWT tokens. Set permissions per endpoint with role-based access control that updates in real-time.

  3. 3

    Step 3

    Deploy and monitor

    Push to production with zero-downtime deployments. Track usage, latency, and errors in a unified dashboard with automatic OpenAPI spec generation.

ANALYTICS

Weekly active teams

Start building in your language

plain
import { Gateway } from '@apigateway/sdk'; const api = new Gateway({ auth: 'api-key', rateLimit: { requests: 100, window: '1m' } }); api.get('/users/:id', async (req, res) => { const user = await db.users.findById(req.params.id); res.json(user); }); api.listen(3000);
plain
from apigateway import Gateway api = Gateway( auth='api-key', rate_limit={'requests': 100, 'window': '1m'} ) @api.get('/users/<user_id>') async def get_user(user_id: str): user = await db.users.find_by_id(user_id) return user api.run(port=3000)
plain
package main import "github.com/apigateway/sdk" func main() { api := gateway.New(gateway.Config{ Auth: "api-key", RateLimit: gateway.RateLimit{ Requests: 100, Window: "1m", }, }) api.GET("/users/:id", func(c *gateway.Context) { user := db.Users.FindByID(c.Param("id")) c.JSON(user) }) api.Listen(":3000") }
plain
curl -X GET https://api.yourapp.com/users/123 \ -H "X-API-Key: sk_live_abc123xyz" \ -H "Content-Type: application/json" # Response: { "id": "123", "name": "Alice Chen", "created_at": "2024-01-15T10:30:00Z", "rate_limit_remaining": 99 }

Deep dive

Rate limits that adapt to your traffic

Set global and per-endpoint quotas with sliding windows, token buckets, or custom algorithms. Limits update instantly across all edge nodes, and clients receive precise retry-after headers. Burst allowances let legitimate spikes through while blocking abuse—no manual intervention required.

  1. 1Per-endpoint overrides apply without redeployment
  2. 2Real-time usage graph shows current consumption vs. quota
  3. 3Burst allowance lets short spikes pass, blocks sustained abuse
  4. 4Automatic retry-after headers guide client backoff strategy
api.yourapp.com/rate-limits
1234

Under the hood

The edge architecture that keeps latency low

  1. Edge-first authentication

    API keys and JWT tokens validate at the CDN edge, before your origin sees traffic. A global cache keeps hot keys in memory, so p99 auth overhead stays under 5 ms even at 100k req/s.

  2. Distributed rate limiting

    Counters sync across regions every 100 ms using CRDTs. A client hammering Tokyo and London simultaneously hits one combined quota, and the limit updates faster than a single datacenter round-trip.

  3. Zero-config OpenAPI generation

    The platform infers request and response schemas from your route handlers and type annotations. Every deploy updates the live spec, and the docs UI reflects changes in under a second.

  4. Automatic retry and backoff

    Rate-limit responses include precise retry-after timestamps and a client SDK that exponentially backs off. Overloaded endpoints shed load gracefully without cascading failures or manual circuit breakers.

Request path

Edge proxyTLS termination · geo-routing
Auth layerJWT verify · key lookup · <5ms
Rate limiterdistributed counters · sliding window
Your handlerbusiness logic · database calls
Response cacheoptional · per-endpoint TTL

Built for scale

< 5 ms
p99 auth latency
99.99%
uptime SLA
100k+
requests/sec per endpoint
< 1 sec
OpenAPI doc refresh
50+ regions
global edge network
Zero
downtime deployments