skills.rest
kaifashraff
kaifashraffCOMMUNITY
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Analytics Engine

Track events, funnels, cohorts, and revenue metrics via REST endpoints.

Updated Mar 18, 2026
Search Tags:#analytics#events#realtime#attribution#revenue#cohorts#funnels
One-click install
npx skills add https://github.com/kaifashraff/jarvis-research --skill analytics-engine-kaifashraff
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Analytics Engine
Source: https://github.com/kaifashraff/jarvis-research/tree/main/skills/mcf-analytics-engine
Command: npx skills add https://github.com/kaifashraff/jarvis-research --skill analytics-engine-kaifashraff

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Track events, funnels, cohorts, and revenue metrics to provide real-time analytics for AI agents. The Analytics Engine enables operators to measure usage, conversion paths, retention, and revenue drivers by aggregating data from multiple sources into a unified view, accelerating decision-making and optimization.

Core Features & Use Cases

  • Event tracking: Capture and normalize events from any source for consistent analytics.
  • Funnel analysis: Build conversion funnels to identify drop-offs and optimization opportunities.
  • Cohort retention: Measure retention, LTV, and churn across cohorts to inform growth strategies.
  • Multi-touch attribution: Attribute revenue across channels to understand driven outcomes.
  • Revenue metrics: Pull MRR, ARR, LTV, and CAC on demand for forecasting and planning.
  • Real-time monitoring: Stream live analytics for dashboards and immediate operational insights.

Quick Start

Connect your AI agent to the Analytics Engine and start streaming real-time analytics.

Frequently Asked Questions about Analytics Engine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track real-time analytics events for AI agents?▼

Real-time analytics events for AI agents are tracked by capturing and normalizing event data from multiple sources into a unified view. The Analytics Engine exposes REST endpoints to stream live metrics for immediate operational insights.

Can I measure funnel drop-offs and cohort retention for live deployments?▼

Funnel drop-offs and cohort retention are measured by building conversion funnels and grouping users into cohorts. This identifies optimization opportunities and calculates retention, LTV, and churn across live deployments.

How do I attribute revenue across multiple marketing channels for product usage?▼

Revenue attribution across marketing channels is handled through multi-touch attribution analysis. The engine attributes revenue to specific channels to understand driven outcomes and inform growth strategies.

Does the Analytics Engine support pulling MRR, ARR, and CAC metrics on demand?▼

The Analytics Engine supports pulling MRR, ARR, LTV, and CAC metrics on demand. These revenue metrics are aggregated from multiple sources to provide unified data for forecasting and planning.

How do I connect my AI agent to a real-time analytics REST API?▼

You connect your AI agent to the real-time analytics REST API by accessing the exposed endpoints for events, sessions, and revenue. The connection operates under an x402 payment model to stream live data.

What are the limitations of using an x402 payment model for analytics tracking?▼

The x402 payment model requires payment integration to access the analytics REST endpoints. This means your AI agent environment must support x402 transactions to successfully retrieve real-time analytics data.

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