Self-hosted
Keep the service, dashboard, and execution data in your own environment.
- All five detectors
- No hosted account
- You control deployment and updates
Pisama reads real workflow executions and surfaces the failures that slip through: timeouts, swallowed errors, runaway loops, and exploding payloads. Connect your n8n and see the evidence behind each detection.
Run Pisama yourself, start with hosted detection at no cost, or give your team AI-assisted fixes when a detection needs action.
Change plans when the work changes
Keep the service, dashboard, and execution data in your own environment.
Get hosted detection and a dashboard for one connected n8n instance.
Give a team room to connect more workflows, generate fixes, and apply approved changes with a rollback point.
| Includes | Self-host | Free cloud | Pro cloud |
|---|---|---|---|
| Deployment | Self-hosted | Pisama cloud | Pisama cloud |
| n8n connections | You manage them | 1 | 5 |
| Failure detection | All five detectors | All five detectors | All five detectors |
| AI fix suggestions | With a cloud key | Not included | Monthly allocation |
| Apply approved fixes | With a cloud key | Not included | Snapshots and rollback |
The structural lane reads the workflow graph itself, with precision tuned against thousands of real community workflows. The runtime lane reads what actually happened in an execution: real timings, real errors, real payload sizes, validated on a smaller corpus of real executions.
A node genuinely ran past its threshold in a real execution, likely timing out the caller.
A node threw during the run, including failures hidden by continue-on-fail settings.
Output payloads or item counts ballooned mid-run, the pattern behind memory and quota blowups.
A workflow graph cycle with no exit and no iteration bound. Intentional batch loops are recognized and left alone.
Control flow tangled enough to be a reliability risk, calibrated on thousands of real community workflows.
Install the n8n-nodes-pisama node, or point any HTTP node or error workflow at the ingest endpoint.
Give the server your n8n API key and it polls recent executions on its own. No workflow edits at all.
docker compose up starts the detection server and this dashboard on your own machine.