Pro
For teams shipping workflows every day.
- Unlimited workflows
- Unlimited alert rules
- 20,000 billable ingests per month (UTC)
- 14-day run log retention
Secure checkout. Taxes may apply based on your location.
Workflow observability
Send run events from your workflows. FlowPulse gives you visibility, alerts, and history across everything.
Works with n8n, Make, Zapier, or any system that can send an HTTP request.
Run tracking for n8n, Make, Zapier, and custom stacks.
Total workflows
3
Runs (24h)
115
Failed runs (24h)
54
Success rate (24h)
53.04%
Clone leads from HubSpot to Airtable
Last failed 9h ago
Lead Enrichment
Last failed 9h ago
Delete old leads
Last failed 9h ago
Your workflows send run events to FlowPulse. FlowPulse tracks those events and alerts based on the rules you define.
When an automation stops running, most platforms won’t shout about it. You notice when it’s too late—missed handoffs, stale data, angry customers.
FlowPulse detects silence based on the run events you send and the alert rules you define.
Failures hide in success-only monitoring—if you only hear about errors, you still miss “nothing ran.”
Execution history is scattered across n8n, Make, Zapier, and cron—no single SLA across tools.
Run-level truth is enough to act: did it execute, did it succeed, how long did it take—plus IDs to jump back to the source system.
FlowPulse does not run your automations. Your workflows send run events, and FlowPulse tracks them.
Create workflows that mirror your real automations. FlowPulse tracks them by stable IDs—rename tools on your side without breaking reporting.
When your automation succeeds or fails, send a request to FlowPulse with the result and context.
POST /api/v1/ingest/run-success
X-API-Key: fp_…See run history, failure trends, and success rates. Add alert rules for failures, thresholds, durations, and no-run detection—delivered to your destinations.
Automation tool
n8n · Make · Zapier · custom code
FlowPulse
Ingest API
FlowPulse is optimized for fast instrumentation: one execution is one run, with the context you need to debug in your automation tool.
Record both outcomes explicitly—not only when something throws.
Events reference FlowPulse workflow IDs so renames do not fragment history.
Browse executions with status, timestamps, and metadata like record IDs, response payloads, durations, or error messages.
Failure rates, error breakdowns, and trends over time—per workflow and source.
Thresholds, rates, durations, and no-run detection—wired to your destinations.
Team-scoped workspaces with ingestion keys you control.
If it can call HTTP, it can report to FlowPulse. We document patterns for n8n, Make, and Zapier—plus any language that can POST JSON.
n8n
HTTP Request node
Make
HTTP module
Zapier
Webhooks by Zapier
Custom HTTP
Any client / language
The same information architecture wherever you work: dashboard overview, workflows, runs, reports, and alerts.
01
At-a-glance health: workflows, run volume, failures, and recent activity across the last 24 hours.
Workflows
3
Runs (24h)
115
Failed
54
Success
53%
02
Organize every automation you monitor; open a workflow for detail and recent runs.
Send Played Tracks to Discord
+ Add description
Recent runs
03
See failure rate, error breakdowns, and trends—filter by time range and drill into what changed.
Failure rate
04
Rules for run status, rates, durations, and silence—delivered to the destinations you configure.
Rules
Destinations
Free plan is fully usable today. Paid plans will unlock higher limits and retention. Start free now—no credit card required.
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Build and try FlowPulse on real traffic.
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Start free insteadPaid plans — coming soon
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Start free insteadNo. You add HTTP calls at the end of your success and failure paths—or the closest equivalent in your platform. That’s usually one node per path.
No. FlowPulse tracks run events and alerts. You keep building and running automations in your existing tools.
A failed run is an execution that reported failure. No-run detection means an expected schedule or rate did not happen—so you catch silence, not just errors.
Data is organized in workspaces. Ingestion uses API keys scoped to your workspace.
At minimum: your FlowPulse workflow identifier. When available, add timestamps, duration, external execution IDs, and source platform—so you can jump straight to the native execution in your tool.
Create a workspace, add your first workflow, and send your first event in minutes.