Agent
Discoverability

Subtext

Session replay for agents

View in the ChatGPT registry
Integration details

Description

**Subtext is session replay built for agents instead of humans.** Connect Subtext, and your Codex agents can open real production sessions and investigate them directly—no scrubbing a timeline, no video to watch. Hand your agent a Subtext link from wherever it already connects—a Sentry issue, a Linear ticket, a support thread, a PR—and it uses Agentic Session Review to jump to the right moment, inspect screenshots and accessibility trees, diff DOM state, and read console and network activity to find the root cause. Then it files the fix or hands you the finding. You review the answer, not the replay. What your agent gets: * **Session tools it calls directly**: open a session, jump to a moment, inspect and compare state—purpose-built so agents traverse dense session data efficiently, with fewer tokens than pointing a general agent at raw replay. * **Best-in-class capture from Fullstory**: Fullcapture behavior, pixel-perfect screenshots on demand, DOM diffs, and windowed console and network context. * **Privacy built for production**: precision tools for agents to mask or exclude sensitive fields, plus agent-friendly DLP scanning tools over MCP. * **Cost-effective**: Capture every session without sampling and never miss a critical user experience or bug report. Agents review the ones that matter most. Works with Codex or any MCP-compatible agent. Code-first install, self-serve signup, generous free tier, usage-based pricing. Bring your own agent harness—Subtext is the session context it was missing.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Product Analytics & Experimentation

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-08-01
Tool count
17
Market
US
Agent DiscoverabilityChatGPT Discoverability ScoreUpdated daily

The first to track the ChatGPT, Claude, Muse, Grok & Google ecosystems, with the largest database on the core platforms. Tracked daily since .

SubtextChatGPT Plugin · Product Analytics & Experimentation
Discoverability Score

0/100

Invisible
Category rank

#36of 38

in Product Analytics & Experimentation
Picked
0.0/100
Found
0.0/100
Positioned
–/100
Is this your product?Improve your Discoverability Score

Category leaderboard

Product Analytics & Experimentation

  1. 1PostHog62
  2. 2Mixpanel54
  3. 3Amplitude42
  4. 4Amplitude EU42
  5. 36Subtext0
See all 38 competitors

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Primary Subcategory
Listed in alphabetical order
Primary Subcategory
Adobe CJA0/100
Amplitude42/100
Amplitude EU42/100
Caprail0/100
Churn Solution0/100
Subtext0/100
Tools

17 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Subtext ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Subtext's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Subtext alternatives on ChatGPT?

As of 2026-11-01, Subtext competes with PostHog, Mixpanel, Amplitude, Amplitude EU, Statsig, Datadog Experiments, Adobe CJA, Caprail and 29 more in ChatGPT Product Analytics & Experimentation, ranked by public Discoverability Score.

Where does Subtext rank in Product Analytics & Experimentation on ChatGPT?

As of 2026-11-01, Subtext ranks #36 of 38 in ChatGPT Product Analytics & Experimentation with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.