Streaming

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

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

const client = new querykit.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

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

Streaming

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

await stream.ack(event.id); const pipeline = stream.filter(e => e.amount > 100).map(e => ( ...e, fee: e.amount * 0.03 )).on('error', (err) => logger.error(err));

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