Plugins

Plugin rankings

Browse the order shown in the public ChatGPT Plugins directory on each capture date. Popular is a curated collection. OpenAI does not publish install or usage counts here.

Last observed

#98
ChatGPT

Subtext

Fullstory

Session replay for agents **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.

#100
ChatGPT

Lazyweb

Real app screens and A/B tests

#101
ChatGPT

Webless

Analyze AI search acquisition

#102
ChatGPT

Crustdata

Crustdata Technologies, Inc.

People & company data Search, enrich and watch people and companies from a single conversation in Chatgpt with Crustdata. Build TAM, prospect and candidate lists using 150+ search filters such as job title, industry, funding and more. You can also enrich people and company profiles with 350+ datapoints such as verified emails, full work experience, education, funding, headcount, web traffic, job postings and more.

#104
ChatGPT

Finseo

Track AI Visibility, AEO & GEO

#110
ChatGPT

Alizé

Research legal data

#111
ChatGPT

Steep

Query Steep workspace data

#113
ChatGPT

Refiner

Analyze survey responses

#115
ChatGPT

Reevl

Korea real transaction prices

#116
ChatGPT

Jepto

Digital Marketing Intelligence

#117
ChatGPT

Muffed

Look up verified NFL stats

#118
ChatGPT

Alation

Governed Knowledge Layer

#119
ChatGPT

WisdomAI

Wisdom AI, Inc.

Answers from data you govern WisdomAI is the enterprise data harness inside ChatGPT, for the complex analytical questions where the answer has to be deterministic, traceable, and consistent. Connectors provide access. Catalogs and semantic layers provide definitions. The WisdomAI harness applies both at runtime by selecting the right context for each question, enforcing row- and column-level security for the person asking, optimizing execution for the underlying platform, verifying results, and repairing failed queries. Business context strengthens continuously as WisdomAI learns from documents, query logs, catalogs, semantic layers, dbt, and BI metadata, proactively identifies where it lacked sufficient context, and routes proposed changes through expert review and versioning. Corrections become governed organizational knowledge rather than one-time fixes buried in individual conversations. WisdomAI works across data platforms, sources, and deployment environments, including fully on-premises for regulated data that cannot leave your environment. The harness, the context, and query execution stay behind your firewall; only the answer crosses. Every answer is grounded in governed definitions, enterprise data, and visible sources making it trustworthy enough to run your business on. Use WisdomAI in ChatGPT to: - Ask questions of governed business data: "How did Q3 net revenue track against plan in EMEA?" - Follow up in the same line of analysis: "Break that down by segment and show the last 4 quarters" - Investigate an open-ended question end to end: "We missed plan in EMEA last quarter. What drove it, which segments and accounts moved most, and what should we watch going into Q4?" - Trace an answer to its definitions and sources: "Which definition of net revenue was used, and what data did it come from?" - See what's available to you: "What data do I have access to, and which metrics are defined for finance?"