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.
Hey Product Hunt 👋Grant here from the AnySearch team.
We’re a team of AI developers and engineers building search infrastructure specifically for AI agents.
Traditional search was built for people. We built search for AI agents.
People skim links, compare sources, and decide what to trust. Agents don't.
AnySearch delivers real-time structured search that agents and developers can trust.
When that information is stale, incomplete, poorly routed, or buried in messy HTML, the final output becomes less reliable. Sometimes agents search again and again. Sometimes they confidently build on weak context. Either way, the workflow breaks.
That's the problem we built AnySearch to solve.
🧠 Understands what a query is asking for
🔍 Searches trusted sources in parallel
🚫 Filters SEO spam, ads, and duplicate results
📄 Returns clean, structured information for agents
Congrats on the launch @trahant! Filtering SEO spam before it hits the context window is the underrated part, most agents are one bad Reddit thread away from confidently hallucinating.
Congrats
!!! Does AnySearch return citations, confidence scores, or relevance rankings so downstream agents can reason about the reliability of each result?
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.
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?
Congrats on the launch and the #1 spot! I run research agents internally and messy search results are genuinely my biggest reliability problem, so this is timely. Quick question: can I restrict searches to my own whitelist of domains per query? For things like competitive research I only trust maybe 15 sources, and “trusted sources” chosen by the tool is not the same as trusted by me.
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
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.
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 appreciate the focus on developers instead of building another search box. What happens when an agent needs niche information from smaller websites? adding an option to include verified custom sources make the platform much more flexible.
How does AnySearch decide which sources count as "trusted" for a given query, and can I override that list if I want to pull from a specific site or domain?
The MCP + Skill support is the right call, that's clearly where agent tooling is heading. Curious about one thing: for slower-moving verticals like legal or academic sources vs something like finance that needs to stay close to real-time, are you running different caching/refresh strategies per domain, or is it one unified layer? Also nice that you published actual numbers against Brave and Parallel instead of the usual "faster and smarter" launch copy, that's rare to see.
Fitting into existing workflows matters more than building a new interface.
Finally gave this a spin with a small research task and was honestly surprised how clean the results came back, already sorted and grouped so my agent didn't have to do the busywork.
The part that stands out is filtering duplicate results and SEO content first.
Multi-source retrieval feels more trustworthy than relying on one search source.
About AnySearch on Product Hunt
“Real-time structured search trusted by agents and developers”
AnySearch launched on Product Hunt on July 6th, 2026 and earned 405 upvotes and 46 comments, earning #1 Product of the Day. 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.
AnySearch was featured in Developer Tools (515.2k followers), Artificial Intelligence (472.8k followers) and Search (18.1k followers) on Product Hunt. Together, these topics include over 182.4k products, making this a competitive space to launch in.
Who hunted AnySearch?
AnySearch was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AnySearch stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Product Hunt 👋Grant here from the AnySearch team.
We’re a team of AI developers and engineers building search infrastructure specifically for AI agents.
Traditional search was built for people. We built search for AI agents.
People skim links, compare sources, and decide what to trust. Agents don't.
AnySearch delivers real-time structured search that agents and developers can trust.
When that information is stale, incomplete, poorly routed, or buried in messy HTML, the final output becomes less reliable. Sometimes agents search again and again. Sometimes they confidently build on weak context. Either way, the workflow breaks.
That's the problem we built AnySearch to solve.
🧠 Understands what a query is asking for
🔍 Searches trusted sources in parallel
🚫 Filters SEO spam, ads, and duplicate results
📄 Returns clean, structured information for agents
Why developers use it:
· Fewer repeated search calls
· Less HTML cleanup
· Cleaner context for models
· More reliable agent outputs
Works with your existing workflows
AnySearch is available through:
· Skill
· MCP
· API
Install AnySearch in your agent👇
1. Go to https://anysearch.com/
2. Click Add to Agent in the top right corner.
3. Select Skill, copy the prompt, and paste it into your agent.
Your agent will handle the installation automatically.
Try AnySearch today, add it to your agent, and get started for free.
We'd love your feedback.