An OpenTelemetry-native control plane for AI agents that enforces policy mid-run instead of paging you after the incident, with cost attribution and EU AI Act evidence built in.
OpenTelemetry
The vendor-neutral standard for emitting traces, metrics and logs from applications.
2 apps, 4 skills and 1 MCP server tagged OpenTelemetry.
Apps
Reads your production chat and voice agent conversations to surface the silent failures, frustration loops and policy breaches that offline evals never catch.
Skills
Skill: Agnost AI Integration
by Agnost AI
Walks a coding agent through wiring Agnost AI conversation analytics into a Python or TypeScript app — inspecting existing OpenTelemetry first and only adding an SDK when the traces are not usable.
Skill: Elastic LLM and Agentic Observability
by Elastic
Elastic's official skill for monitoring LLM and agent workloads — token cost, latency, response quality and workflow orchestration, queried with ES|QL.
Skill: OpenSearch Trace Analytics
by OpenSearch Project
Investigate OpenTelemetry traces stored in OpenSearch — slow and error spans, reconstructed trace trees, service maps, plus agent invocation and token-usage analysis.
Skill: Datadog APM
by Datadog
Install, instrument and analyse Datadog APM from an agent — Kubernetes and Linux Single-Step Instrumentation, service remapping, trace search and service maps.
MCP servers
MCP: Honeycomb MCP Server
by Honeycomb
Honeycomb's hosted MCP server — query traces, metrics, logs and events, run BubbleUp, and read Boards, Triggers and SLOs from an AI agent.
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