Subtext
Session replay for agents
- Category
- Data & Analytics
- Primary Subcategory
- Product Analytics & Experimentation
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
- Primary Subcategory
- Product Analytics & Experimentation
- Secondary Subcategories
- None listed
- Brand
- Fullstory
- Access
- Account required
- First tracked
- 2026-08-01
- Tool count
- 17
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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What discovery looks like

Competing in ChatGPT Product Analytics & Experimentation
View Category17 tools agents can invoke
How do I improve a ChatGPT Plugin's 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 2026-09-17, Subtext competes with Amplitude, Amplitude EU, Churn Solution, Clics, Customer Journey Analytics, Datadog Experiments, KrystalView, Magnus, Mixpanel, Pendo, PostHog, Savri, SEO Programático, Statsig, Userflow, Wingify in ChatGPT Product Analytics & Experimentation, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.