AnySearch
Privacy-first search infrastructure for AI agents. According to the official website, it offers anonymous access, no tracking, zero telemetry, and no log retention, along with zero-retention execution. It features a unified entry point to access multi-domain data sources, intelligently routes queries based on intent, outputs structured Markdown, and supports three integration methods: API, MCP, and Skill.
Updated: 2026-10-26
What is AnySearch?
The official website of AnySearch positions itself as "AI Search Infrastructure for Agents" — a search infrastructure for AI agents, not a search box for humans. It emphasizes two things: first, privacy first. The official website states anonymous usage, no tracking, zero telemetry, no log retention, and offers zero-retention execution and zero-knowledge credentials; second, it is designed for agents. It outputs structured Markdown with quality scores, and natively supports three connection methods: API, MCP, and Skill. According to the benchmarks released on the official website, the overall accuracy rate is 76.4%, and the end-to-end latency is 47.8 seconds.
Who is it for?
- Developers who build coding agents and research agents, and those who need to integrate external retrieval into their toolchains.
- Scenarios requiring multi-source cross-verification, such as security alert analysis, competitor research, and open-source code retrieval.
- Teams that are sensitive to query content and data retention and require anonymity or zero-retention execution.
- AI application teams that want to eliminate the need to build their own multi-source retrieval and result cleaning layers.
Key features
6Intelligent Intent Routing
The official website states that it automatically identifies the intent of queries and routes them to the most relevant data sources without manual source selection. The mechanisms include hierarchical routing, elastic orchestration, and cross-domain reranking.
Agent-Native Output
The official website states that structured output can significantly reduce token waste, returning structured Markdown with quality scores, and natively supports three connection methods: MCP, Skill, and API.
Unified Access
The official website describes it as accessing high-quality data sources across multiple domains through a single entry point, and providing entity enrichment and global execution.
Privacy Design
The official website lists anonymous access, no tracking, no telemetry, no logs, zero-retention execution (in-path processing, data irrecoverable), zero-knowledge credentials (irreversible transformation) and layered authentication. Among them, the isolation of private capabilities is marked as enterprise-exclusive and not within the public scope.
Public Benchmark
The official website states an overall accuracy rate of 76.4% on a total of 300 questions across Frames, FreshQA, and WebwalkerQA, with 80.0% for FreshQA and 65.2% for WebwalkerQA; the end-to-end latency is 47.8 seconds, which is faster than Parallel's 74.4 seconds and Brave's 68.9 seconds. The benchmark uses the same model with only the search API replaced.
Wide Client Base
The installation page lists configuration entries such as Claude Code, VS Code, Cursor, OpenCode, Cline, Codex, OMP, Google Antigravity, DeepSeek Harness, and Hermes Agent.
How to use AnySearch
- First, configure MCP or Skill for the target client according to the official website's installation page.
- the official website states that MCP does not require manual upgrades.
- After getting it running, connect your own business processes.
- The official benchmark uses its own metrics (fixed LLM, only replacing the search API).
- Re-test on your questions using the comparison method it provides before making a selection.
- When relying on structured output, first verify the stability of the fields before hardcoding the parsing logic to prevent link breaks caused by version upgrades.
- For sensitive queries, confirm the account level first: The official website lists zero-retention execution and isolated private capabilities separately, and enterprise-level capabilities are not available to the public.
- Cross-domain results come with quality scores.
- It is recommended to downgrade low-score results or trigger a secondary retrieval instead of feeding them all directly to the model.
Traffic & popularity
Data month Sep 2026
AnySearch receives about 22.4K visits per month and ranks #1,121,780 worldwide.
Monthly visits
8 monthsTraffic sources
- Direct57.7%
- Search24.5%
- Referrals11.1%
- Social6.5%
- Display ads0.2%
Top countries
- China75.4%
- Singapore4.7%
- United States4.4%
- Taiwan, China4.2%
- Hong Kong, China3.9%
Estimated from third-party traffic data.
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