Know Instantly When Production Workflows Break
PingPulse monitors AI agents, scheduled jobs, and multi-step pipelines via simple webhooks. Get alerts when a step fails, stalls, or runs out of order. Catch failures before they become costly incidents. No agent installation or SDK required.
Free tier included — 20 pulses, 5 process monitors, 1 workflow. No credit card required.
Integrates with
Get alerts via
Get Started in 3 Steps
Get Your API Key
Sign up and copy your API key from the dashboard. It starts with ppk_
Share Doc With Your Agent
Give your AI agent this URL:
https://pingpulsehq.com/docforagents
Watch Agent Actions
See every handoff, timing, and payload in real-time on your dashboard.
Hand-Off Insights Dashboard
Track how stages are handed off between agents or processes. See when control passes from one component to another. See who did what, when, and how long it took.
Hand-Off Insights
Track how stages are handed off between agents in your dynamic workflows.
Dynamic Workflow customer-onboarding-flow
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Dynamic Workflow code-review-pipeline
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Dynamic Workflow data-migration-job
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Dynamic Workflow support-ticket-triage
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4
Active Workflows
12
Hand-offs Today
2.4s
Avg Hand-off Time
1
Failed Today
Color-Coded Agents
Each agent gets a unique color for easy tracking
Handoff Arrows
See exactly when control passes between agents
Timing Data
Millisecond precision on every stage execution
How It Works
Three simple steps to full workflow visibility. No SDK, no agents to install.
Your System
AI agent, scheduled job, or pipeline sends a simple HTTP request
PingPulse Tracks It
We record the stage, timing, payload, and check for missed steps
You Stay Informed
See everything in the dashboard. Get alerts via Slack, email, or PagerDuty if something breaks
That's literally it: one line per stage
curl https://pingpulsehq.com/shk/your_workflow?stage=1&key=ppk_xxx
What people are saying
"Our data workflows pull from systems like Workday, SQL Server, and Slate, and it's often hard to see where steps stall or silently fail. PingPulse's workflow-level visibility feels like exactly the kind of observability layer that could make these pipelines easier to monitor and debug."
Maham Abrar
Data Analyst, Calvin University
"With AI agents becoming ubiquitous and writing the majority of code, robust observability is more critical than ever. PingPulse solves this need in an efficient, elegant way."
Intekhab Naser
Software Engineer, Uber
Observe What Actually Matters
Purpose-built monitoring for systems generic tools miss: multi-step workflows, AI agents, scheduled jobs, and distributed handoffs.
Workflows
Track multi-step processes across any system and know exactly where things break. For teams running CI/CD pipelines, data pipelines (ETL), or distributed processes that span multiple services.
- Stage-by-stage visibility: See which step succeeded, failed, or never ran
- Strict or flexible modes: Enforce exact ordering or allow async, out-of-order execution
- Instant failure isolation: Know which stage broke, not just that something failed
One-line integration
# Each step pings PingPulse
curl .../shk/deploy_prod?stage=build
# Next step
curl .../shk/deploy_prod?stage=test
# Final step
curl .../shk/deploy_prod?stage=deploy
You see the full picture. If "test" never runs, you know instantly.
All endpoints accept simple HTTP GET/POST. No SDK required.
Try Free. No Credit CardAlerts That Actually Help
When something breaks, you get context, not just "workflow failed". See what went wrong, which stage, and when.
Stage Failed: deploy_prod
Stage 3 (deploy) failed after 45s
Workflow: production-deploy • Instance: d8f2a...
From: [email protected]
Subject: Missed ping: nightly_backup
Pulse missed: nightly_backup
Expected every 24h, last seen 26 hours ago
Grace period (1h) has passed. Check your scheduled job.
Start Tracking Your Agents Today
Free tier includes 20 pulses, 5 process monitors, 1 workflow. No credit card required.
Get Started Free