Domain Rating by Ahrefs, checked 3 Oct 2026, changed 3 Oct 2026.
Match report
LLM observability platform for tracing AI agents and model calls with token usage, cost, and latency tracking via OpenTelemetry.
Post-match questions
What is telemetry.dev?
telemetry.dev is an LLM observability platform for AI applications and agents built on OpenTelemetry. It groups instrumented model calls, tool steps, and retrievals in a trace, and reports token usage, cost, latency, and errors to help debug failures and monitor spend.
How do I start sending traces?
Make a project API key, then configure a telemetry.dev integration or an OTLP/HTTP exporter. Run an instrumented request and open its trace in your project. The integration directory links to setup instructions for each SDK, provider, and framework.
Which frameworks and languages are supported?
TypeScript and Python have first-party SDKs with integrations for providers and frameworks such as OpenAI, Anthropic, and Vercel AI SDK. Other languages can send standard OTLP over HTTP. Trace detail depends on what your instrumentation emits, so each integration guide describes its coverage.
How is cost calculated?
telemetry.dev calculates cost at ingest from reported token usage and its model-pricing catalog. Cache-read and cache-write tokens use separate rates when available. Reasoning tokens are not charged separately. An explicit span cost takes precedence. Without matching model pricing or token usage, computed cost is unavailable.
Is the free plan actually free?
Yes. The Free plan costs $0 and requires no credit card. It includes 30,000 ingestion units per month, 14-day retention, one project, and two seats. Each normalized span, OTLP log record, or metric data point uses one ingestion unit.
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