<p>Hey Product Hunt 👋Grant here from the AnySearch team.</p><p></p><p>We’re a team of AI developers and engineers building search infrastructure specifically for AI agents. </p><p><strong>Traditional search was built for people. We built search for AI agents. </strong></p><p>People skim links, compare sources, and decide what to trust. Agents don't. </p><p><strong>AnySearch delivers real-time structured search that agents and developers can trust. </strong></p><p></p><p>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.</p><p></p><p><strong>That's the problem we built AnySearch to solve.</strong></p><p>🧠 Understands what a query is asking for </p><p> 🔍 Searches trusted sources in parallel </p><p> 🚫 Filters SEO spam, ads, and duplicate results </p><p> 📄 Returns clean, structured information for agents</p><p></p><p><strong>Why developers use it:</strong></p><p>· Fewer repeated search calls </p><p>· Less HTML cleanup </p><p>· Cleaner context for models </p><p>· More reliable agent outputs</p><p></p><p><strong>Works with your existing workflows</strong></p><p>AnySearch is available through:</p><p>· Skill </p><p>· MCP </p><p>· API</p><p></p><p><strong>Install AnySearch in your agent</strong>👇</p><p>1. Go to <a href="https://anysearch.com/" target="_blank" rel="nofollow noopener noreferrer">https://anysearch.com/</a> </p><p>2. Click Add to Agent in the top right corner. </p><p>3. Select Skill, copy the prompt, and paste it into your agent.</p><p>Your agent will handle the installation automatically.</p><p></p><p>Try AnySearch today, add it to your agent, and <strong>get started for free</strong>.</p><p>We'd love your feedback.</p>
<p>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.</p>
<p>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.</p><p></p><p>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)?</p><p></p><p>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.</p><p></p><p>Congrats on the launch <a href="https://www.producthunt.com/@granthan" data-node-type="mention" data-mention-type="user" data-mention-id="granthan" target="_blank" rel="nofollow noopener noreferrer">@granthan</a> </p>
<p>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.</p>
