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Prometheus HTTP API — Metric Metadata with a HELP Conflict (json)

The metadata endpoint's response, where each metric name maps to a list because different targets can disagree. http_requests_total here has two conflicting HELP strings — the real-world state that a metric catalogue or documentation generator has to resolve rather than assume away.

Preview — first 32 linesjson
{
  "status": "success",
  "data": {
    "http_request_duration_seconds": [
      {
        "type": "histogram",
        "unit": "seconds",
        "help": "End-to-end request latency in seconds."
      }
    ],
    "http_requests_total": [
      {
        "type": "counter",
        "unit": "",
        "help": "Total HTTP requests handled."
      },
      {
        "type": "counter",
        "unit": "",
        "help": "Total HTTP requests handled, by route and status."
      }
    ],
    "up": [
      {
        "type": "gauge",
        "unit": "",
        "help": "1 if the target is reachable, 0 otherwise."
      }
    ]
  }
}

Specifications

Families
3
Conflicting Help Texts
1
Types
histogram, counter, gauge
Shape
/api/v1/metadata

Testing contract

Expected to pass
Scenario
Build a metric catalogue from the metadata endpoint.
Expected result
Three families are catalogued and http_requests_total surfaces both HELP strings as a conflict rather than silently keeping whichever arrived last.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Prometheus HTTP API — Metric Metadata with a HELP Conflict (json)” is a deterministic Novus Examples fixture for Observability, Metadata testing, JSON parsing. Structured and plain-text telemetry with known timestamps, levels, request identifiers, and error states for testing log ingestion, correlation, dashboards, and alert pipelines.

Documented properties for this file: JSON · 636 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Telemetry fixtures use fixed trace IDs, span IDs, and timestamps so ingestion is reproducible run to run. Point your collector, parser, or query layer at the file and assert the documented span tree, metric families, or severity mix; service and host names are invented.

Code examples

import json

with open("prometheus-api-series-metadata.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/observability.py. Free for any use, no attribution required — license.