Monitoring & Credits

The Monitor section gives you visibility into everything running in your workspace: workflow executions, credit consumption, error rates, and system health.

Monitor dashboard

Access monitoring from the Monitor section in the left sidebar. The dashboard shows:

Execution overview

MetricDescription
Total executionsNumber of workflow runs in the selected time period
Success ratePercentage of executions that completed without errors
Failed executionsCount of executions that errored out
Average durationMean execution time across all workflows

Execution history

A chronological list of all workflow runs with:

ColumnDescription
WorkflowWhich workflow ran
StatusSuccess, Failed, or Running
Started atWhen the execution began
DurationHow long it took
TriggerWhat initiated the run (webhook, schedule, manual, etc.)
CreditsHow many credits this execution consumed

Click any execution to see the full step-by-step trace: which nodes ran, what data flowed between them, and where errors occurred (see Execution History).

Credit usage

Credits are the unit of consumption for premium features (AI, scraping, vision, enrichment). Monitor credit usage in Monitor → Credit Usage.

Credit costs by category

CategoryNodeCredits per execution
AITinyGPT10
AIGPT Writer15
AIGPT Researcher20
AITiny Search10
ScrapingScrape Page, Crawl Site, Extract Data, Map URLs, Web Search2
VisionOCR3
VisionRead PDF3
VisionTable Extract5
VisionExtract Fields5
VisionAsk Document10
EnrichmentPerson Enrichment10
EnrichmentCompany Enrichment10
EnrichmentEmail Enrichment20
All othersFlow control, integrations, database0

Usage breakdown

The credit usage view shows:

  • Daily usage chart: visualize credit consumption over time
  • By workflow: which workflows consume the most credits
  • By node type: which AI/scraping/vision nodes are most used
  • Remaining balance: credits left in your current billing period

Managing credit costs

StrategyHow
Add early filtersPut If-Else nodes before AI nodes to skip processing for irrelevant data
Cache resultsStore AI results in a database. Check cache before calling AI again for the same input.
Batch wiselyA For Each loop with 100 items and a TinyGPT node costs 1,000 credits (10 x 100)
Use the right nodeTinyGPT (10 credits) is cheaper than Researcher (20 credits). Only use Researcher when you need web sources.
Test with samplesDuring development, limit batch sizes to 5-10 items

Error monitoring

Error types

Error typeCauseResolution
Connection errorIntegration auth expired or API is downRe-authorize in Build → App Authorizations
Rate limitToo many API calls to an external serviceAdd Delay nodes between requests
TimeoutA node took too long to respondCheck the external service; consider retries
Validation errorInput data doesn't match expected formatAdd data validation before the failing node
Credit exhaustionOut of creditsUpgrade plan or wait for next billing cycle

Setting up error alerts

You can add error handling to any workflow to get notified when things go wrong:

Any node → Error branch → Send Email to Yourself (HIGH priority) + Slack (#alerts)

See Error Handling for details on configuring error branches and retry logic.

Workflow health indicators

On the main Workflows list, each workflow shows health indicators:

IndicatorMeaning
Green dotAll recent executions succeeded
Yellow dotSome recent executions failed (intermittent issues)
Red dotMost recent executions are failing
Gray dotWorkflow is paused or hasn't run recently
Tip

Set up a "meta-workflow" that runs daily, checks your credit balance via the Monitor, and sends you a Slack alert when credits drop below 20% of your monthly allowance.

Warning

Credit-consuming nodes still cost credits during test runs. Use the Test tab on individual nodes during development to avoid running the full workflow repeatedly.