AnySearch
A search engine built for AI agents instead of humans — it hands back clean, structured answers instead of a page of blue links the agent then has to re-read and guess at.
🔗 Visit AnySearch
Description
When a person searches the web, they can skim ten blue links and pick the useful bits in a second. An AI agent can't skim — it has to read every word of every page, which wastes time and money. AnySearch's idea is to do that skimming for the agent: it searches multiple sources in parallel, filters out duplicates and junk, and hands back one clean, structured answer instead of raw messy web pages.
AnySearch is a search API purpose-built for AI agents and developer workflows, offered natively through API, MCP (Model Context Protocol), and Skill integrations so it drops straight into existing agent stacks. It routes each query through an intent classifier that identifies whether it's a finance, code, legal, academic, or general question and sends it to the most relevant vertical source, then returns de-duplicated, structured markdown rather than raw HTML. The company claims 76.4% accuracy on the FreshQA benchmark and around 47.8-second average latency — figures worth validating independently since they come from AnySearch's own site. It also offers anonymous, zero-telemetry usage, which matters for teams wary of sending proprietary queries through a third party.
💬 Our review
The short version: if you're building an AI agent and tired of it burning tokens re-parsing raw search-result HTML, AnySearch is a plausible plumbing upgrade — but it's a young, unfunded-looking product competing against well-capitalized alternatives, so treat its performance claims as a starting point for your own testing, not gospel.
Compared to Tavily or Exa, the two most established "search-for-agents" APIs, AnySearch's pitch is similar (structured, agent-ready output, native MCP support) but it's a much newer entrant with far less public track record, no disclosed funding, and unverified benchmark numbers. Compared to just calling Google/Bing's own APIs and post-processing the results yourself, AnySearch saves the intent-routing and de-duplication work, which is exactly the kind of glue code most teams don't want to maintain. The free tier is a reasonable way to kick the tires, but the lack of a published pricing page for higher tiers is a real gap for anyone trying to budget an integration before committing engineering time.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Free tier avec un nombre de requêtes/jour limité (inscription gratuite) ; grille tarifaire des paliers payants non publiée sur le site principal
Pros
Sortie structurée et dédupliquée, pensée pour économiser des tokens LLM
Support natif API, MCP et Skill — intégration rapide dans une stack agent existante
Routage par intention vers des sources verticales (finance, code, académique, légal)
Usage anonyme, zéro télémétrie
Cons
Chiffres de performance (précision, latence) non vérifiés indépendamment
Grille tarifaire des paliers payants non publiée
Aucune information sur le financement ou l'équipe — produit jeune et opaque