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Analytics is an Enterprise feature. Access it from your Relevance AI dashboard under Account.
Analytics gives you complete visibility into how your AI workforce is performing. Track tasks, monitor costs, spot performance issues, and optimize your agents—all from a single dashboard.
Analytics Dashboard showing key metrics, task trends, action trends, and credits over time

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Getting Started

1

Open Analytics

Navigate to Account in your Relevance AI dashboard and click on Analytics
2

Set Your Filters

Select your date range and choose which agents to analyze
3

Explore Your Data

Scroll through the dashboard to explore workforce, agent, and action breakdowns
Pro tip: Scroll to the bottom of any breakdown table to see summary stats like “Avg: 0.36% error rate” and “Avg: 95 credits/task”—these give you instant performance benchmarks without reviewing individual rows.

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Key Metrics at a Glance

Your Analytics dashboard displays four critical metrics with trend comparisons:

Tasks

Total tasks completed by your agents with percentage change trends

Tasks to Review

Tasks awaiting human approval or review

Actions Used

Number of tool executions and API calls made by your agents

Credits Used

Total Relevance AI credits consumed across all activities
Each metric shows percentage change from the previous period. For example, “+45.78%” on Tasks means you completed 45% more tasks than the previous period—use this to track growth or identify sudden increases in workload.
Filter and Focus: Click the date range picker (top right) to select custom time periods. Use “All agents” dropdown to view individual agent performance. Compare October vs September to track month-over-month growth, or select a specific agent to see only their metrics across all charts and tables.

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Dashboard Sections

A dedicated chart showing your daily credit consumption over time.Quickly identify:
  • Expensive days - See which days consumed the most credits (highest bars)
  • Cost anomalies - Spot unexpected credit spikes that might indicate workflows using excessive credits
  • Spending patterns - Understand if your credit usage is steady, growing, or fluctuating
How to use it: Hover over bars to see exact credit amounts for each day. Compare the Credits chart with the Tasks chart above it—if tasks are flat but credits spike, you have workflows becoming more expensive. Use this to budget and forecast monthly credit needs based on historical patterns.
See performance metrics for each of your AI workforces:
MetricWhat It Shows
Workforce TasksTasks handled by the workforce
Agent TasksIndividual agent activities within the workforce
Error RatePercentage of failed tasks
Actions & CreditsResource consumption per workforce
Credits/TaskCost efficiency metric
How to use it: Compare Credits/Task across workforces to find your most cost-effective teams. Click into any workforce row to see more details. Check the summary stats at the bottom (e.g., “Avg: 95 credits/task”) to gauge overall performance.
Drill down to individual agent performance:
MetricWhat It Tells You
TasksVolume of work handled
Error RateReliability and success rate
Actions/TaskComplexity indicator (more actions = more complex workflows)
Credits/TaskCost per task for efficiency comparison
How to use it: Sort by Credits/Task to find your most efficient agents (e.g., agent with 5 credits/task vs 3,500 credits/task). Use “Show 35 more agents” to view your full agent list. Investigate agents with high error rates or unusually high Actions/Task ratios.
See which specific tools and integrations are being used:
MetricPurpose
ExecutionsHow often each action is called
Error RateAction reliability and integration health
TasksNumber of tasks using this action
Credits/ExecCost per execution
How to use it: Check which actions have high execution counts to see your most-used tools. Actions with 0.00% error rates are working reliably. If an action shows error rates above 0%, investigate that integration. Sort by Credits/Exec to find expensive API calls or tool executions.

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Why Use Analytics?

Cost Control

Monitor the Credits Used metric and watch for percentage spikes. Compare Credits/Task across agents to find expensive workflows and optimize them

Performance Optimization

Sort agents by Credits/Task in the Agent Breakdown table. Agents with lower credits per task are more efficient—study their setup to replicate success

Error Monitoring

Check the Error % column in each breakdown table. Sort by error rate to quickly identify which agents or actions are failing and need attention

Capacity Planning

Use the date range filter to compare different periods. Watch for consistent upward trends in the task chart and high percentage changes to identify when you need more agents

ROI Visibility

Point stakeholders to the Tasks metric showing volume completed and Credits/Task showing cost efficiency. The summary stats at table bottoms provide quick proof of value

Troubleshooting

Look for unusual spikes in the charts, high error rates in tables, or agents with abnormally high Credits/Task ratios to catch issues early