Introduction

What is InfiniAnalytics?

If it can make an HTTP request, InfiniAnalytics can monitor it. Your automations only need to send lightweight lifecycle events - start, progress, success or error - and InfiniAnalytics reconstructs each run into a full execution timeline, technology-agnostic and with no vendor lock-in.

On top of that timeline, the platform surfaces the business KPIs that matter: success rate, effective time saved, and the calculated economic benefit of every automation - the numbers your management actually wants to see. Proactive alerts catch errors, timeouts, and automations that silently stop running, so problems surface before they escalate.

InfiniAnalytics also monitors the services and APIs your automations depend on, and can push every start, end, or error into the rest of your stack via webhooks - open a ticket in Jira, alert on Slack or Teams, or trigger a downstream AI flow.

Key Concepts

InfiniAnalytics organizes everything around four building blocks:

• ●Process - A business workflow (e.g. "Monthly Invoice Processing") that groups related automations under a department and holds the metadata that powers ROI calculations.
• ●Automation - The specific bot, script, or flow that carries out a process. Each one gets its own UUID, execution history, and performance charts.
• ●Execution - One complete run of an automation, identified by an execution ID you generate on your side and reuse across every event of that run.
• ●Event - A timestamped signal - START, EVENT, END or ERROR - that your automation sends. Events with the same execution ID are stitched into a single execution record.

Next Steps

Pick where to go next based on how you want to integrate:

• ▶Quick Start - Track your first execution in under 5 minutes
• ▶Python SDK - Integrate from any Python script or AI agent
• ▶Power Automate Desktop - Use the official PAD template
• ▶MCP Server - Track AI coding agents via Model Context Protocol