5 items
Annotate any webpage with numbered markers, capture screenshots, and organize feedback sessions for Pulse or any LLM. Pulse Annotate helps Pulse AI users bring outside visual context into Pulse-enabled agents. Use it when the work starts on a webpage, app screen, document, or any browser surface and needs to become a clear review packet for an AI agent. Add numbered annotations directly on the page, capture the visible context, organize notes into sessions, apply tags, and package the result so an agent can understand exactly what to fix or review. What you can do: - Mark webpage issues with numbered annotation chips. - Keep screenshots, page URLs, titles, notes, and visible context together. - Organize work into local sessions with searchable history and tags. - Copy a single annotation with detailed context for an issue thread. - Package a full session for handoff to Pulse AI agents. - Reopen prior sessions from history when review work continues. Pulse Annotate is built for fast agent handoff. It keeps the capture flow lightweight so you can move from "this is what I mean" to a usable agent-ready packet quickly. Privacy-first behavior: Pulse Annotate stores annotation sessions locally in your browser. Exports use clipboard or local downloads only when you choose them. It does not publish your sessions, send them to a remote service, or share them automatically.
May 3, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.