Launching today
AnySearch
Real-time structured search trusted by agents and developers
92 followers
Real-time structured search trusted by agents and developers
92 followers
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
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.
PicWish
AnySearch
@granthan Congratulations
RiteKit Company Logo API
@granthan Congrats on launching AnySearch — search infrastructure that agents and developers can actually trust is a real need, and the positioning is sharp. We made you a free launch video for it (below), yours to download or re-post anywhere, no strings. I suggest adding it to your launch page in here; launches with video tend to do better than those without.
We built it with FoxPlug: paste your site and it turns what you just shipped into a launch video, images, GIFs and posts in about 30 seconds. This one is on us — make your own free at https://foxplug.com
The MCP + skill install path is the right call — "paste the prompt and the agent installs it" is exactly how agent-facing infra should distribute.
Two things I'd want to know before wiring it into an agent loop: what does structured actually mean here — a fixed result schema, or can the calling agent shape it per query (product/price/availability fields for a commerce lookup vs citation-style for research)?
And what latency should we budget? Parallel trusted-source search + dedup + structuring sounds like real work per call, and for a multi-step agent that searches five or six times per task, p95 per call matters more than anything.
Congrats on the launch @granthan
Foyer
The "real-time structured search trusted by agents" framing raises the question of what structured actually means here. Is the output schema defined by the caller, something like a typed JSON spec the agent passes in, or is AnySearch inferring structure from the query and returning whatever shape seems right? That distinction matters a lot when an agent is downstream and needs to reliably parse the response without a validation step. Also curious how you handle sources that block crawlers aggressively, since real-time web search quality tends to fall apart fast on exactly the sites that have the freshest information.
Swytchcode
Congrats on the launch! What is the source of your search results, and what's the frequency of your updates?
PopPop AI Vocal Remover
Given that a significant amount of low-quality content can rank highly on Google, having an agent that can accurately distinguish and prioritize high-quality information is essential. How do you ensure that poor-quality content is effectively filtered out, while only reliable and valuable content is selected and integrated? And congratulations on your launch!
Terminal Mode by Even Realities
I like that it does not try to replace the agent. It gives agents better inputs.
AnySearch
@alstonzhuang Thank you. As inputs, AnySearch is really useful.
The agent search problem is often not reasoning. It is messy context from the start.
AnySearch
@song_kirby Completely agree, the search layer is truly important for agent.