Multi-Source Search Verification Engine

Compare multiple search surfaces in one pass and score how confident the result set looks before you synthesize it.

When to use

• The user wants the same topic checked across multiple search surfaces instead of one provider.
• The user needs confidence scoring, cross-source verification, or a consensus-style research output.
• The user wants a growth-variant search lane focused on validation, not just lookup.

When NOT to use

• The user only needs one flagship search entry for lookup, cited answers, or deep research; use search.
• The task is provider-specific and fits scholar-search, tavily-search, or perplexity-search.
• The workflow must avoid relay-based calls to api.aisa.one.

Capabilities

• Parallel retrieval across structured web, scholar, smart search, Tavily, and Perplexity-backed flows.
• Confidence scoring that highlights source coverage, diversity, and result quality.
• Synthesis-ready outputs for research comparison, verification, and decision support.

One API key gives you:

• Structured web search
• Scholar search
• Hybrid scholar search
• Tavily search and extraction tools
• Perplexity Sonar answer-generation endpoints with citations

Compatibility

Works with any agentskills.io-compatible harness, including:

• Claude Code and Claude (Anthropic)
• OpenAI Codex
• Cursor
• Gemini CLI (Google)
• OpenCode, Goose, OpenClaw, Hermes
• and any other harness that implements the Agent Skills specification

Requires Python 3, a POSIX shell, and AISA_API_KEY (get one at aisa.one).

What This Skill Is Best For

Fast web lookup

Search the latest AI infrastructure launches and summarize the top sources.

Scholar-backed research

Find recent papers on multimodal reasoning from 2024 onward.

Citation-rich answers

Use Sonar Pro to answer which open-source agent frameworks are gaining traction and cite sources.

Deep research reports

Use Sonar Deep Research to produce a thorough market map of AI browser agents.

Quick Start

export AISA_API_KEY="your-key"

Example Requests

• Compare how three search surfaces describe the latest browser-use agent products.
• Verify whether a market claim shows up in web search, scholar search, and cited answer results.
• Run a confidence-scored research pass on multi-agent IDEs before writing a recommendation.

Search APIs

Web Search

curl -X POST "https://api.aisa.one/apis/v1/scholar/search/web?query=AI+frameworks&max_num_results=10" \
  -H "Authorization: Bearer $AISA_API_KEY"

Scholar Search

curl -X POST "https://api.aisa.one/apis/v1/scholar/search/scholar?query=transformer+models&max_num_results=10" \
  -H "Authorization: Bearer $AISA_API_KEY"