review-times

Check how long AI app, connector and plugin store review takes (ChatGPT plugins, Claude connectors and plugins, Meta Muse, Grok, Cursor, Microsoft 365 Agent Store, Gemini CLI, Docker MCP) before submitting or while waiting, and report the user's own submission. Use when planning a launch to one of these stores, when a review seems stuck, or when the user asks how long approval takes.

Live data from https://reviewtimes.fyi, crowdsourced and read from public review queues.

Check

bash

curl -s reviewtimes.fyi                  # every store, one table
curl -s reviewtimes.fyi/claude-plugins   # one store, with how its review works
curl -s reviewtimes.fyi/api/v1/stores/chatgpt   # JSON

Slugs: chatgpt, claude-connectors, claude-plugins, muse, grok, clawhub, cursor, copilot, gemini-cli, docker-mcp.

Read typical_wait_days as the median days to a decision. If it is null and typical_wait_is_lower_bound is true, most submissions have no decision yet: say "${longest_seen_days}+ days, most still waiting", not a number. Mention pace (moving, slow, stalled) and median_to_rejection_days when rejections come back much faster than approvals.

Report the user's submission

Only with the user's go-ahead, and only for a real submission:

bash

curl -s -X POST reviewtimes.fyi/api/v1/reports -H 'content-type: application/json' \
  -d '{"store":"claude-plugins","submitted_on":"2026-09-01","status":"waiting"}'

Save the returned token (for example in the project's notes) and update it when the store answers:

bash

curl -s -X PATCH reviewtimes.fyi/api/v1/reports/$TOKEN -H 'content-type: application/json' \
  -d '{"status":"approved","decided_on":"2026-09-20"}'