AnySearch - Real-time structured search trusted by agents and developers
by•
A search tool for agents, not a search box. AI agents are only as good as the information they receive. When connected to AnySearch, your agent gets filtered, de-duplicated, and structured information from trusted sources searched in parallel, helping it produce more reliable results. Free to start.
Replies
DiffSense
Heya! How is this better than https://parallel.ai/ for instance?
This is a good direction for agent tooling. The hard part is not just search quality, it is making the agent carry source confidence forward instead of turning a clean JSON result into false certainty. I would love to see provenance, freshness, and failure states treated as first-class fields in the response.
I noticed the promise of parallel searches across trusted sources. How much faster is it compared with a normal search workflow? A few real examples with measurable improvements would answer that quickly.
the dedup and structuring part is the interesting bit to me, most "search for agents" pitches i've seen just wrap a regular search API. what happens when two trusted sources genuinely disagree on a fact, does anysearch pick one and present it as ground truth or does it surface both and let the agent reason about it
the bit about agents not being able to skim and decide like humans is exactly the right framing — what does the output structure look like, json schema or more like markdown blocks?
Fellow.ai
The de-dupe plus parallel trusted-source angle is the useful part here, since most agent failures I see are stale or duplicated context rather than missing data. One operator question: can I scope the trusted-source set per agent (e.g. pin a support bot to our own docs plus a couple of domains), or is the source list global across all calls? That is the line between this being safe for a customer-facing agent versus just research.