Works with what you already use.

AgentPing slots in wherever you're already building agents. If your stack isn't on the list, the webhook works from anything that can curl.

Question 1 of 2

What language is your agent written in?

Bring the traces you already emit.

Tracing has standardised around OpenTelemetry, so AgentPing accepts it natively. If your stack already exports OTLP, switching on AgentPing is an exporter config change, not an instrumentation project.

Token counts, model IDs, latency. Captured per call.

Anthropic and OpenAI are wrapped natively by the SDK; everything else uses the wrap-and-emit pattern, which is ten lines of code and the same usage block your provider's SDK already returns.

Four SDKs. None of them block your code.

Every SDK follows the same contract: never blocks user code, never throws into your app, bounded local queue, run IDs available before any network call. Pick your language and go.

Any tool that can fire an HTTP call.

The webhook pattern works from anything: GitHub Actions runners, n8n, Make, Zapier, Claude Routines, or a one-line curl in your crontab. Schedule monitoring is on the AgentPing side, so a missed cron pages you whether or not your runtime notices.

And answers back, inside your editor.

Connect AgentPing's MCP server to Claude Code, Claude Desktop, or Cursor and ask about your production agents in plain language: what is failing, why a run went wrong, what an evaluation said. One URL, approve in the browser, nothing to install. Detection to diagnosis to fix in one session.

If your tool can curl, it works.

The webhook is a plain HTTP call against https://eu.ingest.agentping.io/v1/ping. Any tool, language, or runtime that can make an authenticated request can fire a heartbeat. See the curl docs or API reference to roll your own.

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