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Mock Prometheus Metric Generator

Used by developers, writers, and creators worldwide.

A mock Prometheus metric generator produces example metrics in the Prometheus exposition format for testing and dashboards. Prometheus scrapes plain-text metrics with a specific shape — HELP and TYPE comments followed by named samples with labels — and a realistic sample is the fastest way to test a scraper, a dashboard, or an alert rule. This tool emits counters, a histogram, and a gauge with labels and HELP text, following the real format. Click generate and copy the output into a test or a metrics endpoint. It is ideal for testing Prometheus scraping, building Grafana dashboards, and learning the metric format. The output follows the exposition format conventions, including the three core metric types, so it parses correctly and shows how counters, histograms, and gauges differ. Adapt the metric names and labels to your own service when you instrument it for real.

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How to use

  1. Choose your options above
  2. Click Generate
  3. Copy your result

Detailed instructions

  1. Click Generate to produce metrics.
  2. Copy the output into a test or endpoint.
  3. Use it to test scraping or dashboards.
  4. Adapt the names to your own service.

Use Cases

  • •Testing a Prometheus scraper
  • •Building a Grafana dashboard
  • •Learning the metric format
  • •Seeding sample metrics
  • •Demoing observability tooling

Tips

  • →Counters only increase.
  • →Gauges go up and down.
  • →Histograms use le buckets.
  • →Adapt names to your service.

FAQ

what is the Prometheus exposition format

It is the plain-text format Prometheus scrapes: optional HELP and TYPE comment lines, then metric samples as a name, optional labels in braces, and a value. This tool generates samples in that format so you can test tooling against it.

what are the metric types

The core types are counter (only goes up, like total requests), gauge (goes up and down, like memory usage), and histogram (buckets of observations, like request latency). The sample here includes all three so you can see how they differ.

are these metrics real

No. The values are random and the metric names are illustrative, so they are safe for testing and demos. They follow the real exposition format, which is what matters for exercising a scraper, dashboard, or alert rule.