The Flexprice Collector makes it easy to send usage data into Flexprice. It takes care of reading, transforming, and delivering events so you don’t have to worry about scaling or building custom pipelines. Just plug in your data source, and the collector handles the rest.Documentation Index
Fetch the complete documentation index at: https://docs.flexprice.io/llms.txt
Use this file to discover all available pages before exploring further.
How It Works
The Flexprice Collector is built on Bento, a robust stream processing tool. Bento’s strong delivery guarantees and retry capabilities make it ideal for reliable event ingestion. The collector connects your data sources (Kafka, webhooks, databases) to Flexprice through a processing pipeline with three components:- Inputs read data from various sources (Kafka, webhooks, databases, files)
- Processors validate, transform, and filter data to match Flexprice format
- Outputs send data to Flexprice API with bulk batching and retry logic
Key Features
The Flexprice Collector is optimized for high-performance usage metering:- Automatic Batching: Groups events for bulk ingestion (10 events or 2s by default)
- Smart Routing: Uses
/eventsfor single events,/events/bulkfor batches - Retry Logic: Exponential backoff ensures no data loss on network failures
- High Throughput: Handles millions of events per day with minimal latency
Ingesting Data into Flexprice
The collector always outputs to the Flexprice API:Installation
The Flexprice Collector is available via:- Binaries from GitHub Releases
- Container images
- Kubernetes deployment (see Get Started guide)
Performance & Reliability
The collector provides:- Bulk Ingestion: Batches up to 100 events per API call
- Automatic Retries: Failed events retry with exponential backoff
- At-Least-Once Delivery: Kafka consumer groups ensure no data loss
- Observability: Prometheus metrics and structured logging

