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Overview Quick Start
With a coding agentManual setup

Send data

OpenTelemetry Canonical log lines JSON events
Create a datasetSend eventsRead the response

Data model

Schema Management Writing Effective Queries Effective Investigation
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Telemetry Machine docs

Send OpenTelemetry traces, logs, and metrics, then query them as columns. Start with the Quick Start, or jump to the part you need.

How it fits together

  1. 01 Get started Create an account and connect your first app, by agent or by hand.
  2. 02 Send data Point any OTLP exporter or Collector at a dataset with an ingest key.
  3. 03 Understand the schema How attributes become columns, and why old rows show null.
  4. 04 Query & explore Filter spans, logs, and metrics in the explorers. Try it on demo data.

Instrument your app

Anything that speaks OTLP works
OTel Collector otlp_http exporterJS Node.js OpenTelemetry SDKPy Python OpenTelemetry SDK </> Any OTLP source Endpoint + ingest key

Built for coding agents

Connect your coding agent to Telemetry Machine's MCP server. It instruments your app, creates the datasets, and checks that data arrives.

Set up your agent →
tm-cli Log in, list datasets, create ingest keys. tm-cli auth login → Agent skills The tm-cli skill, for the terminal. /docs/skills/index.json → MCP server Your agent signs in and queries your datasets. /api/mcp → These docs, as text Every page as Markdown, for your agent's context. /docs/llms.txt →
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