Pagination, detail pages and dynamic content included, with the source of every value attached, so verifying row 41 in the meeting is one click.
“Pull comps for these sixty companies by tomorrow’s standup.” Sixty pricing pages, sixty Crunchbase profiles, sixty G2 listings, back as one table with consistent columns and a source on every cell, while the evening you would have spent copying stays yours.
Your title says analysis and your hours say data entry. A companion works the pages the way you would, clicking into detail views, following pagination and reading what is actually rendered, then hands over rows instead of tabs.
01
Sixty pages, one table, receipts included
You describe the columns.
Parallel agents fan out across the list and fill them, flagging what they could not find rather than inventing it. Every value keeps its source, so when someone challenges row 41 in the meeting you open the page it came from.
No. A companion reads pages the way a person does rather than parsing markup by brittle rule, which is why a redesign that would kill a scraper is just Tuesday. Dynamic content, login-gated pages in your session and “load more” buttons are all inside its reach.
When the pull needs to repeat, whether that is weekly pricing checks, a monitored listings page or a refreshed comp set, a routine re-runs it on schedule and reports what changed since last time.
03
Where does the deep-research pass fit?
Not every question is a table. For a company deep dive, a technology comparison or a market’s moving parts, companions run the multi-source reading and synthesis described on the research use case page. EQT’s team combines both motions for investment work and reports 70% of research time saved, in the EQT case study.
Yes. You describe what you need in plain language and a companion browses the pages and returns structured rows. No scrapers, no selectors, no code. See data extraction.
Every value carries the page it came from, so verifying row 41 is one click, and a companion flags a field it could not find instead of filling it in. The pass conditions we measure extraction against are written down at /benchmarks/spec, so you can mark a run yourself.
Yes. Companions click through “load more,” page numbers and into per-item detail views, because they operate the page like a person rather than parsing its markup.
Yes. Routines re-run any extraction on a schedule and report what changed, which turns a one-off pull into monitoring.
Results land as structured data you can send straight into Google Sheets or keep as files for Excel. Companions work in your logged-in session, so the sheet updates where your team already looks.