A full-stack analytics engine for AI agents to track events, analyze funnels, and monitor revenue metrics in real-time.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcf-analytics-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mcf-analytics-engine using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Analytics Engine?
The Analytics Engine is a comprehensive data intelligence solution purpose-built for the next generation of autonomous agents. By integrating this tool into your Openclaw Skills library, you provide your agents with the ability to measure user behavior and business performance directly from their workflow. It replaces the need for complex third-party integrations by providing a native, high-performance API for event logging and sophisticated data modeling.
This skill enables agents to go beyond simple task execution by providing them with the context of user journeys. From tracking individual clicks to calculating high-level financial metrics like MRR and LTV, the engine serves as the analytical brain for any agentic deployment. It is designed for developers who need reliable, scalable, and real-time insights to optimize their agent's decision-making processes.
Analytics Engine Use Cases
- Monitoring user interactions in real-time to trigger agent-led interventions.
- Analyzing conversion funnels to identify where users are dropping off in a workflow.
- Measuring long-term user retention and engagement through cohort analysis.
- Calculating marketing efficiency using multi-touch attribution models.
- Reporting live revenue data including CAC and LTV to business stakeholders.
How Analytics Engine Works
- The AI agent sends event data to the tracking endpoints whenever a user action or system event occurs.
- Data is aggregated and processed by the engine to build user sessions and attribution paths.
- Developers or agents define funnels and cohorts through POST requests to categorize the raw data.
- Analysis endpoints are queried to perform complex calculations on conversion rates and retention logic.
- Financial metrics are automatically derived from event streams to provide a real-time view of revenue health.
Analytics Engine Setup
To integrate this skill into your Openclaw Skills workflow, you must route requests through the MCF Agentic gateway. The system utilizes x402 payments (USDC on Base L2).
# Check the analytics overview and pricing
curl -X GET https://gateway.mcfagentic.com/api/analytics/overview
# Track a new user event
curl -X POST https://gateway.mcfagentic.com/api/analytics/events \
-H "Content-Type: application/json" \
-d '{"event": "user_signup", "properties": {"source": "web"}}'
Analytics Engine Data Schema & Taxonomy
The Analytics Engine organizes data into logical sets for easy retrieval and analysis. Below is the metadata taxonomy used:
| Data Type | Description | Key Metrics |
|---|---|---|
| Events | Individual user actions | Event Name, Timestamp, User ID |
| Funnels | Sequence of events | Drop-off Rate, Completion Time |
| Cohorts | Groups of users by date | Retention Rate, Churn |
| Attribution | Marketing touchpoints | Path analysis, ROI |
| Revenue | Financial performance | MRR, ARR, LTV, CAC |
Analytics Engine Advanced Features
- Real-time streaming API for instant monitoring of live agent activity.
- Support for server-side event tracking to ensure data integrity and security.
- Multi-touch attribution modeling to map complex customer journeys across platforms.
- Automated financial reporting for SaaS-specific metrics without manual data entry.
SKILL.md
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