Provides an open-source agentic AI framework for business data analysis, focusing on SaaS revenue intelligence.
Sponsored
Laxmi Agents is an open-source framework leveraging agentic AI for sophisticated business data analysis, specifically tailored for SaaS revenue intelligence. Built upon the OpenAI Agents SDK, it orchestrates a pipeline of six specialized AI agents to extract, resolve, compute, detect, and explain critical business data. The framework supports a 'Bring Your Own Model' approach, allowing integration with various LLMs like Claude, GPT, or Llama, and offers a CLI for quick analysis or an MCP server for integration with AI development environments, enabling comprehensive insights into SaaS metrics and anomaly detection.
Key Features
010 GitHub stars
02Out-of-the-box computation of essential SaaS metrics like MRR, churn, NRR, and ARPU.
03Bring Your Own Model (BYOM) compatibility with LiteLLM-supported LLMs.
04Six specialized AI agents working in a coordinated pipeline for data analysis.
05CLI and MCP server for flexible interaction and integration with AI development tools.
06Automated entity resolution across various data sources including CSV, Stripe, and Postgres.
Use Cases
01Analyzing SaaS revenue data to understand trends and identify growth or churn patterns.
02Detecting anomalies and explaining root causes in key business metrics and operations.
03Automating the computation and reporting of critical SaaS performance indicators from diverse data sources.
