Quickstart

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

const result = await stream.request('POST', '/transform',  data: payload ,  timeout: 5000 );

The core querykit object is a lightweight wrapper that manages the lifecycle of your event stream.

Quickstart

Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

stream.pipe(map(e => e.data), buffer(100, 5000), flatMap(batch => fetch('/api/bulk',  body: JSON.stringify(batch) ))).catch(console.error);

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.