Your n8n workflows fail quietly.
This catches them.

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.

Choose your setup

Start where the workflow lives

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

Fair-code

Self-hosted

Keep the service, dashboard, and execution data in your own environment.

  • All five detectors
  • No hosted account
  • You control deployment and updates
Self-host (fair-code)
Cloud

Free

Get hosted detection and a dashboard for one connected n8n instance.

  • One n8n connection
  • All five detectors
  • Detection stays free
Start free cloud
Pro cloud

Fix and approve

Give a team room to connect more workflows, generate fixes, and apply approved changes with a rollback point.

  • Five n8n connections
  • Monthly AI fix allocation
  • Apply and roll back approved fixes
Start free, then upgrade
Comparison of self-host, free cloud, and Pro cloud options
IncludesSelf-hostFree cloudPro cloud
DeploymentSelf-hostedPisama cloudPisama cloud
n8n connectionsYou manage them15
Failure detectionAll five detectorsAll five detectorsAll five detectors
AI fix suggestionsWith a cloud keyNot includedMonthly allocation
Apply approved fixesWith a cloud keyNot includedSnapshots and rollback
Five detectors, two lanes

Structural analysis of the workflow, runtime analysis of the execution

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.

Timeout

A node genuinely ran past its threshold in a real execution, likely timing out the caller.

Node error

A node threw during the run, including failures hidden by continue-on-fail settings.

Resource explosion

Output payloads or item counts ballooned mid-run, the pattern behind memory and quota blowups.

Unbounded cycle

A workflow graph cycle with no exit and no iteration bound. Intentional batch loops are recognized and left alone.

Excess complexity

Control flow tangled enough to be a reliability risk, calibrated on thousands of real community workflows.

Three ways in

Works with n8n Cloud and self-hosted, no workflow rewrites

Community node or webhook

Install the n8n-nodes-pisama node, or point any HTTP node or error workflow at the ingest endpoint.

API polling, zero setup

Give the server your n8n API key and it polls recent executions on its own. No workflow edits at all.

Self-host in one command

docker compose up starts the detection server and this dashboard on your own machine.