Dashboard

Analytics Page

Monitor agent performance, analyze credit usage, and track HTTP request statistics in real-time

Aksita.ai Dashboard Analytics - Monitoring and Analysis Page

Screenshot: Dashboard Analytics

About Analytics

The Analytics page provides deep insights into your agent usage, including credits consumed, request volume, and HTTP action performance. This data helps you optimize agents and control costs.

Key Metrics:

  • Total Credits Used: Total credits consumed (Chat + Resource)
  • Total Requests: Number of requests processed
  • Agent Statistics: Performance per agent
  • HTTP Request Stats: Success rate and execution time
1

Overview Tab

The Overview tab displays key statistics in cards and charts:

Credit Usage

Total Credits Used
1,250
Chat: 800 | Resource: 450
Total Requests
342
Total Conversations
156

Time Series Charts

Visualize credit usage and request volume over time to understand trends and usage patterns.

• Credits per day/week/month
• Requests per day/week/month

HTTP Request Statistics

Total HTTP Requests
89
Success Rate
94.5%
Avg Execution Time
245ms
2

Agents Tab

The Agents tab displays per-agent statistics breakdown in table format:

Agent Data Columns:

Name
Agent name
Tier
Base, Plus, or Premium
Conversations
Number of conversations
Messages
Total messages sent and received
Chat Credits
Credits for chat/conversation
Resource Credits
Credits for knowledge base & actions
Total Credits
Total credits consumed by this agent

Use this data to identify which agents are most used and consuming the most credits.

3

HTTP Requests Tab

The HTTP Requests tab displays detailed performance of HTTP actions and knowledge bases:

Resource HTTP Stats

Statistics per resource using HTTP (KB URL, HTTP, Sitemap, Domain, or HTTP Actions):

Resource Name Resource name
Type KB or Action
Total Requests Number of HTTP requests
Success Rate Success percentage
Avg Time Average execution time

HTTP Request Logs

Detailed log of each HTTP request made, including:

  • • Request timestamp
  • • Resource name and type
  • • HTTP method and URL
  • • Response status code
  • • Execution time (ms)
  • • Success/Error status

Performance Tip: If success rate is low or execution time is high, check resource configuration or external API stability.

4

Leveraging Analytics Data

Cost Optimization

Monitor credit usage to avoid overspending. Identify agents that are too costly and optimize their configuration.

Trend Analysis

Use time series charts to understand peak usage times and plan capacity scaling.

Performance Monitoring

Track HTTP success rate and execution time to ensure agent responses are fast and reliable.

User Behavior

View conversation and message counts to understand engagement levels and popular questions.

Monitoring Tips

Regular Check

Review analytics at least weekly to catch issues early.

Set Alerts

Monitor credit usage and set reminders before running out.

Compare Agents

Compare performance across agents for best practices.

Debug Issues

Use HTTP logs to troubleshoot failed requests.