# telemetry.dev

> Trace model calls, tool steps, and costs across AI-agent runs

telemetry.dev helps developers understand what happens inside an AI-agent run. Model calls, retrievals, and tool steps appear in a shared trace so you can inspect failures, compare latency, and follow token use and cost. Applications can send telemetry through the service’s SDKs or an existing OpenTelemetry exporter, keeping the investigation tied to actual execution data.

Additional tools cover MCP traffic, alerts for unusual cost or error patterns, prompt versions, and evaluation runs. Teams can connect a coding agent to help add instrumentation and investigate recorded behavior. A free plan provides a starting allowance, with paid options for more usage. The service is intended for monitoring and improving applications that use models and external tools.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/telemetry-dev
- Official website: https://telemetry.dev/
- Category: Developer tools / Monitoring & reliability
- Status: Launched
- Topics: Agents, Debugging, Distributed tracing, Monitoring, Observability
- Listing updated: 2026-11-03T22:21:57.322Z
- Information source: https://telemetry.dev/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.