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Fullstory

ChatGPT plugin

Product analytics for agents.

View in ChatGPT directory
Connection
Remote

hosted by the developer

Apps SDK app
Yes

ships an in-chat UI

Movement

Over the last 30 days of daily snapshots.

Rank by placement

#3732of 3,88016places down24h7d
#3,715#3,720#3,725#3,730Aug 26Aug 31Sep 5Sep 10Sep 15Sep 20

Also on other marketplaces

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Ask about your product analytics, and get answers you can verify.

Fullstory MCP connects Codex and ChatGPT to your product's behavioral data. Ask how many users adopted a feature, where checkout is leaking, or whether yesterday's release broke something, and Codex and ChatGPT builds the segment, computes the metric, and explains the result with a link back to Fullstory.

Analytics connectors can give you numbers. Fullstory shows you what happened. Metrics unpack into real session replay, so "conversion dropped 12%" becomes "the coupon field errors for logged-out users."

And because Fullstory autocaptures clicks, page views, errors, and frustration signals, many questions need no instrumentation at all. Ask about rage clicks on pricing or errors in checkout without shipping a single event.

What Codex and ChatGPT can do: (1) Build and save segments and metrics. Describe the users or behavior you care about in your own words; Codex and ChatGPT create segments or metrics in Fullstory where your whole team can reuse it.

(2) Compute on demand. Counts, rates, trends, and breakdowns by device, browser, geography, or user property, over any time window.

(3) Speak your product's language. Codex and ChatGPT discover your pages, named elements, and defined events, so questions map to your real product vocabulary instead of guessed selectors.

(4) Analyze conversion. Read your saved funnels and measure where users drop and why.

(5) Back every number with sessions. Retrieve the sessions and events behind any metric, including frustration signals like rage clicks and dead clicks.

(6) Read sessions at scale. Ask Codex and ChatGPT to review dozens of sessions behind a drop-off or an alert and report the patterns, including failures that never reached your error tracker.

Teams use it to let PMs, support, and engineers self-serve answers that used to queue behind an analyst, and to settle "why did this number move?" with evidence instead of theories.

Example prompts

  • Find the page with the highest rage-click rate in the past 7 days. Pull 3 sessions and walk me through what happened.
  • Build a segment of users who hit a console error this week, then pull two of their sessions and summarize what happened.
  • Which users were highly active 60 days ago but haven't logged in for 30 days? Pull 5 sessions for their last week of activity.

Skills

  • comparisons

    How to structure A vs B comparisons in Fullstory — when to use dimensionality (event/session properties) vs separate segments (user-level properties), and why the distinction matters for correctness.

  • general-analysis

    Fullstory analytics workflow. Use when answering a question that requires measuring user behavior — counts, rates, trends, breakdowns, or cohort comparisons. Builds segments and metrics, computes results, then investigates sessions to explain what the numbers mean.

  • session-review

    Use when diagnosing user-reported issues, investigating bugs, analyzing user behavior, or validating UI correctness using Fullstory session recordings.

Categories
Made by
Fullstory · Website
Version
2.0.0
Created At
September 4, 2026
More info