Track your agent's performance, monitor costs, review conversations, and gain insights into usage patterns with real-time analytics.

Analytics & Monitoring

thinnestAI provides comprehensive analytics to help you understand how your agents are performing, what they're costing, and where they can improve.

Dashboard Overview

The main Dashboard shows aggregated metrics across all your agents:

Metric	Description
Total Conversations	Number of chat and voice sessions
Total Messages	Messages exchanged across all agents
Total Cost	USD spent on LLM tokens and voice minutes
Average Response Time	Mean latency from message to response
Success Rate	Percentage of conversations completed successfully
Active Agents	Number of agents handling traffic

Time Range Filters

View metrics for different periods:

Last 24 hours
Last 7 days
Last 30 days
Custom date range

Agent Performance

Each agent has a dedicated Performance tab with detailed metrics:

Response Metrics

Metric	Description
Avg Response Time	Mean time to generate a response
p50 Latency	Median latency (50th percentile)
p95 Latency	95th percentile latency
Tokens per Response	Average input + output tokens per message

Cost Metrics

Metric	Description
Total Cost	Total USD spent by this agent
Cost per Conversation	Average cost per session
Input Tokens	Total input tokens consumed
Output Tokens	Total output tokens consumed
Voice Minutes	Total minutes of voice calls

Quality Metrics

Metric	Description
Success Rate	Conversations completed without errors
Error Rate	Percentage of failed conversations
Tool Call Rate	How often the agent uses tools
Evaluation Score	Average score from evaluations (if configured)

Via the API

curl "https://api.thinnest.ai/agents/agent_abc123/summary?period=7d" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "period": "7d",
  "total_sessions": 342,
  "total_messages": 1845,
  "total_cost_usd": 12.47,
  "avg_response_time_ms": 1240,
  "p50_latency_ms": 980,
  "p95_latency_ms": 2850,
  "success_rate": 0.97,
  "total_input_tokens": 485000,
  "total_output_tokens": 192000,
  "voice_minutes": 28.5,
  "avg_evaluation_score": 4.2
}

Agent Tracing

Every agent interaction is traced for debugging and analysis:

Trace Data

Each trace includes:

Input message — What the user said
Agent reasoning — The LLM's internal processing
Tool calls — Which tools were called, with what arguments, and what they returned
Output message — The agent's response
Token usage — Input and output tokens
Latency — Time for each step
Cost — USD cost of this interaction
Errors — Any errors that occurred

Viewing Traces

curl "https://api.thinnest.ai/agents/agent_abc123/traces?limit=20" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "traces": [
    {
      "id": "trace_xyz",
      "session_id": "sess_123",
      "input": "What are your hours?",
      "output": "We're open Monday to Friday, 9 AM to 5 PM EST.",
      "tool_calls": [],
      "input_tokens": 145,
      "output_tokens": 28,
      "latency_ms": 890,
      "cost_usd": 0.0012,
      "status": "success",
      "created_at": "2026-03-06T14:30:00Z"
    }
  ]
}

Voice Metrics

For voice agents, additional real-time metrics are available:

Metric	Description
Active Calls	Currently ongoing voice sessions
Call Duration	Average and total call length
Voice Latency	Time from speech end to agent response start
Transcription Accuracy	Quality of speech-to-text
Interruption Rate	How often the user interrupts the agent

Real-Time Voice Metrics (WebSocket)

Subscribe to live voice metrics during active calls:

const ws = new WebSocket('wss://api.thinnest.ai/voice/metrics/agent_abc123/ws');

ws.onmessage = (event) => {
  const metrics = JSON.parse(event.data);
  console.log('Active calls:', metrics.active_calls);
  console.log('Avg latency:', metrics.avg_latency_ms);
};

Channel Analytics

Track message volume and quality per channel:

curl "https://api.thinnest.ai/analytics/channels?agent_id=agent_abc123&period=30d" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "channels": {
    "voice": {
      "total_sessions": 180,
      "total_messages": 1200,
      "success_rate": 0.96,
      "avg_response_time_ms": 1500
    },
    "chat": {
      "total_sessions": 420,
      "total_messages": 2800,
      "success_rate": 0.99,
      "avg_response_time_ms": 850
    },
    "widget": {
      "total_sessions": 95,
      "total_messages": 380,
      "success_rate": 0.98,
      "avg_response_time_ms": 920
    }
  }
}

Usage & Billing Metrics

Monitor your spending in real-time:

curl "https://api.thinnest.ai/metrics/usage" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "balance_usd": 47.23,
  "usage_today_usd": 3.12,
  "usage_this_month_usd": 89.45,
  "top_agents_by_cost": [
    { "agent_id": "agent_abc123", "name": "Support Agent", "cost_usd": 45.20 },
    { "agent_id": "agent_def456", "name": "Sales Caller", "cost_usd": 32.10 }
  ],
  "breakdown": {
    "llm_tokens": 72.30,
    "voice_minutes": 15.50,
    "scraping": 1.65
  }
}

Audit Logging

For compliance and security, all platform actions are logged:

Event	Data Captured
Agent created/updated/deleted	Who, when, what changed
Tool configuration changes	Old and new config (keys redacted)
Phone number assigned/released	Agent, number, timestamp
Team member changes	Invitations, role changes, removals
Billing events	Top-ups, subscription changes, refunds

View Audit Logs

curl "https://api.thinnest.ai/admin/audit/logs?limit=50" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "logs": [
    {
      "id": 1234,
      "user_id": "auth0|abc123",
      "action": "agent.update",
      "resource_type": "agent",
      "resource_id": "agent_abc123",
      "details": {
        "changed_fields": ["instructions", "temperature"]
      },
      "ip_address": "203.0.113.42",
      "created_at": "2026-03-06T15:00:00Z"
    }
  ]
}

Deployment History

Track all deployments and version changes:

curl "https://api.thinnest.ai/deployments/agent_abc123/history" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY"

{
  "deployments": [
    {
      "id": 5,
      "version": "v3",
      "status": "active",
      "deployed_at": "2026-03-06T12:00:00Z",
      "deployed_by": "user@example.com",
      "changes": "Updated system prompt and added Gmail tool"
    },
    {
      "id": 4,
      "version": "v2",
      "status": "superseded",
      "deployed_at": "2026-03-04T09:00:00Z"
    }
  ]
}

Rollback

If a deployment causes issues, roll back to a previous version:

curl -X POST "https://api.thinnest.ai/deployments/agent_abc123/rollback" \
  -H "Authorization: Bearer $THINNESTAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "version_id": 4 }'

Alerts & Notifications

Configure alerts for important metrics:

Error rate spike — Get notified when error rate exceeds a threshold
High latency — Alert when response time degrades
Budget threshold — Warning when spending approaches a limit
Low balance — Alert before your balance runs out

Best Practices

Check analytics weekly — Spot trends before they become problems.
Use traces for debugging — When an agent misbehaves, traces show exactly what happened.
Monitor cost per conversation — Ensure your agents are cost-effective.
Set up alerts — Don't wait for users to report issues.
Compare agent versions — After deploying changes, compare metrics to the previous version.
Review audit logs — Track who changed what, especially in team environments.

Analytics & Monitoring

On this page