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mixpanel-headless Codex Plugin

Author
Mixpanel
Category
Data & Analytics
Topics
Monitoring & Observability · Data Engineering & Analytics · AI Agents & AI App Development
Version
0.1.2
First seen
2026-07-12
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

mixpanel-headless is an OpenAI Codex plugin, published by Mixpanel, that lets Codex install and use the mixpanel_headless Python SDK and CLI to analyze Mixpanel product-analytics data. According to the plugin's README, it is intentionally separate from the hosted plugins/mixpanel connector and is meant for coding-agent workflows where Codex writes Python, uses pandas/plotting libraries, and combines Mixpanel data with local files or other sources. It ships four skills (mixpanel-headless-setup, mixpanel-auth, mixpanelyst, dashboard-expert) covering setup, authentication, analysis, and dashboard work. Per the mixpanel_headless documentation site, the underlying SDK offers both a Python library and a CLI with the same capability set, including data discovery, typed insights/funnel/retention/flow/user-profile queries, entity management, data governance, streaming, and session replay analysis. Authentication supports service accounts and OAuth 2.0 (browser or bearer-token based).

Overview

Mixpanel is a product analytics platform; mixpanel_headless is Mixpanel's programmable Python library and CLI that gives direct, unattended access to Mixpanel's analytics engine (as opposed to its interactive web UI), and this plugin packages that SDK as Codex skills.

What you can do with mixpanel-headless

  • Install and authenticate the mixpanel_headless SDK from Codex via the mixpanel-headless-setup and mixpanel-auth skills (service account, browser OAuth, or bearer-token OAuth)
  • Discover Mixpanel data landscape: list events, inspect properties, sample property values, and browse saved funnels/cohorts/bookmarks
  • Run typed analyses with the mixpanelyst skill: segmentation, funnel, retention, flow, and user-profile queries, including formula-based metrics and cohort-scoped queries
  • Analyze, create, modify, and explain Mixpanel dashboards with the dashboard-expert skill
  • Manage entities such as dashboards, reports, cohorts, feature flags, experiments, alerts, annotations, and webhooks (per the mixpanel_headless docs)
  • Access data governance features: Lexicon definitions, drop filters, custom properties/events, and lookup tables (per the mixpanel_headless docs)
  • Stream events for ETL pipelines and analyze rrweb session replays (per the mixpanel_headless docs)
  • Combine Mixpanel query results (as pandas DataFrames) with local files or other data sources in Python

Sources

Original description (English)

Analyze Mixpanel data with the mixpanel_headless Python SDK and Codex skills.

History of mixpanel-headless

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