Laxmi Agents Revenue Intelligence

Example Use Cases

• 1

  Extract and integrate business data from multiple sources like CSV, Stripe, and Postgres.

• 2

  Compute and analyze SaaS-specific revenue metrics such as MRR, churn, and ARPU.

• 3

  Detect anomalies and explain root causes in business revenue data using LLM-powered reasoning.

Description

Laxmi Agents is an open-source agentic AI framework designed for business data analysis, focusing on SaaS revenue intelligence. It features a pipeline of six specialized agents that extract, resolve, compute, detect anomalies, and explain business metrics using any compatible LLM model. The MCP server exposes tools for CSV, Stripe, and Postgres data sources, enabling natural language queries and integration with AI clients like OpenCode, Cursor, and Claude Desktop. It supports BYOM (Bring Your Own Model) and offers both CLI and Python library usage for flexible deployment.