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Search Infrastructure
for the AI Era

FEATURES

AnySearch enables every AI application to access high-quality, structured information.

AI SEARCH

Secure & Private
by Design

Anonymous usage, no tracking, and zero telemetry — your queries stay yours.

  • Zero Retention ExecutionIn-path processing with no recoverable data
  • Zero-Knowledge CredentialsIrreversibly transformed and non-recoverable
  • Private Capability IsolationEnterprise-only, excluded from public scope
  • Layered AuthenticationSeamless anonymous and authorized access

Output

Clean Context Delivery

Anonymous Access
  • No Tracking
  • No Telemetry
  • No Logging

Unified
Integration

One unified entry point to access extensive, high-quality data sources across multiple domains.

Unified Access
Unified Abstraction
Entity Enrichment
Global Execution

Agent-Native
Design

Built for AI Agents — structured output that significantly reduces token waste, with native API, MCP, and Skill support.

AI Agent
MCP / Skill / API
Structured Markdown
Quality Scoring

Smart Intent
Routing

Automatically identifies query intent and routes to the most relevant data sources — no manual source selection needed.

Agent Query
Hierarchical Routing
Elastic Orchestration
Cross-Domain Reranking

Full-Spectrum
Coverage

From professional depth to everyday breadth, covering the full spectrum of Agent needs.

Multi-Domain Coverage
Extensible Network
Everyday Needs
Personal Interests

Product Comparison

AnySearch enables every AI application to access high-quality, structured information.

01 Accuracy Benchmark

Accuracy Benchmark

Evaluation Criteria

Answer correctness rate against human-verified ground truth across the three benchmark datasets.

Key Advantage

Highest overall accuracy (76.4%) across the three datasets — leading on FreshQA at 80.0%, and outperforming Brave by +18.4pp on WebwalkerQA (65.2% vs. 46.8%). Also beats Parallel by +4.2pp on WebwalkerQA.

Methodology

Evaluated on Frames, FreshQA and WebwalkerQA (300 questions total) with z-ai/glm-5.1 as the LLM; only the search API differs across baselines.

02 Latency Benchmark

Latency Benchmark

Evaluation Criteria

End-to-end latency per request, defined as the total Agent runtime to complete a single QA task (encompassing LLM reasoning, search tool calls, and all intermediate steps), averaged across the three benchmark datasets.

Key Advantage

Fastest overall at 47.8s — 36% faster than Parallel (74.4s) and 31% faster than Brave (68.9s). On WebwalkerQA, AnySearch completes in 76.5s while Parallel balloons to 145.6s and Brave to 133.0s — nearly 2× faster than both.

Methodology

Same agent framework and LLM (z-ai/glm-5.1) for all baselines; each latency data point is the wall-clock time for the Agent to fully resolve one QA question. Results are averaged over 300 questions and broken down per dataset.

AnySearch Leads Across the Board
with Clear Results at a Glance

Real-World Scenario Benchmarks — More Complete Data, Deeper Analysis, and More Comprehensive Responses

AnySearch8.9 / 10
Brave7.5 / 10
Scenario Description
One-Line Comparison: AnySearch vs Brave
AnySearch Score
Brave Score

Sec Engineers Alerts

Analyze alert logs, attack chains, and threat intelligence to quickly identify root causes and generate response recommendations.

AnySearch cross-validates multiple professional intel sources with actionable response plans; Brave draws the right conclusion but relies on public platforms, requiring manual re-verification.

9.5
8.2

Dev Project Code Search

Search real open-source project code snippets, call relationships, and implementation details to quickly identify usable solutions.

AnySearch returns production-grade complete code with core algorithms and engineering details; Brave cites well-known projects but at introductory level, lacking production depth.

9.5
7.8

Business Travel Real-Time Decisions

Retrieve flight status, ground transportation, and exchange rates in a single query to support continuous decision-making during business travel.

AnySearch returns live flight status, precise exchange rates, and multiple transit options in one shot, proactively flagging errors; Brave fails the flight query, defers to the user, and contains factual mistakes in transit info.

8.0
5.5

PM Competitive Research

Multi-dimensional competitor analysis covering funding/valuation, hiring trends, industry commentary, and user sentiment.

AnySearch delivers funding data current to the latest month and surfaces first-hand user pain points from social media; Brave offers comparable coverage but lags in timeliness, with more generic user feedback.

9.2
8.2

Public Health Disease Burden

Cross-query global malaria incidence trends and African crop yields to analyze the disease-malnutrition dual burden.

AnySearch combines macro trends with hospital-level micro-data and links co-morbidity studies into a complete evidence chain; Brave has more recent macro data but lacks micro-level depth, requiring manual literature supplementation.

8.5
8.0

The results are scored by the Claude Opus 4.6 model based on the generated content.

  1. 1Copy the prompt below and send it to your Agent to perform automated installation:
  2. 2
  3. 3Install the AnySearch SKILL according to
  4. 4https://anysearch.com/install/skill-install.md

MCP / API Quick Integration

MCP / API Quick Integration

Integrate via MCP or API in minutes

Free sign-up with more requests per day.

Ready to Search

Starting Now

Sign up for free, integrate with ease, and ship AI products with a cleaner search stack.

Docs
AnySearch
The search infrastructure for the AI era,
providing high-quality data sources through a single API.
E-Mail: support@anysearch.com
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