Monitor your GitHub Actions AI jobs.

Scheduled GitHub Actions jobs that call AI run on cron, unattended. AgentPing tells you when one stops running and what each AI run cost, from a single step in the workflow.

Track your first AI workflow Read the GitHub Actions setup docs

Production AI in GitHub Actions fails quietly.

A scheduled GitHub Actions workflow can be disabled, drift off its cron, or start failing on a step, and unless someone is reading the Actions tab you will not know. If the job calls a model, the spend is invisible until the provider bill arrives.

Wire it up in a few lines.

Add one step that pings AgentPing at the end of the job. Run it with if: always() so a failed job still reports, and AgentPing alerts on the absence of an expected run.

Install

install GitHub Actions 
no SDK, one workflow step

Instrument

example · yaml GitHub Actions 
- name: Report run to AgentPing
  if: always()
  run: |
    curl "https://eu.ingest.agentping.io/v1/ping?key=${{ secrets.AGENTPING_PING_TOKEN }}&agent=nightly-report&status=${{ job.status }}"

Full setup, environment variables and options are in the GitHub Actions setup docs.

What AgentPing tracks for GitHub Actions.

  • Missed run alerts when a scheduled workflow does not run.
  • Failure alerts when an AI job exits non-zero.
  • Cost per AI run when the job calls a model.
  • A heartbeat from one curl step, no SDK required.
  • Alerts to Slack, email or a webhook you already watch.
Read the GitHub Actions setup docs Heartbeat webhook docs

What you see in the dashboard.

  • A run list for GitHub Actions, each row showing cost, status and latency, filterable by agent, customer and feature.
  • Cost by agent, customer and feature, so you can see which accounts and features drive AI spend, not just one provider total.
  • An incident the moment a scheduled run misses its window or a cost spike breaks its baseline, delivered to Slack, email, PagerDuty or a webhook.
  • A quality trend once you turn on scoring, so a regression in your GitHub Actions output shows up as a falling line, not a support ticket.
How do I report from a workflow?
Add a single step that calls the AgentPing ping endpoint with curl. That gives you missed-run and failure alerts. Include cost fields when the job calls a model and you also get per-run cost.
Will I be alerted if the workflow is disabled?
Yes. AgentPing alerts on the absence of an expected run, so a disabled or drifting scheduled workflow raises a missed-run alert rather than failing silently.
What does it cost to monitor GitHub Actions?
There is a free plan with no card and no time limit, enough to wire up your first agents. Paid plans start at $99/month with named limits and no metered billing, so the bill never surprises you. Annual billing is two months free.
Does AgentPing see my prompts and outputs?
Only if you choose to send them. By default AgentPing prices runs from model and token counts and tracks status and timing, which needs no prompt or output content. Payload capture for quality scoring is opt-in and configurable per agent.

Monitor your GitHub Actions AI workflows.

Send one run from GitHub Actions and see cost, status and latency. Then add an alert for cost spikes or missed runs.

Track your first AI workflow Read the GitHub Actions setup docs

Pulse, live monitoring → Spend, cost attribution → Verify, quality scoring →