Multi Source Search

Confidence-scored multi-source retrieval across web, scholar, Tavily, and Perplexity-backed research. Use when: the user needs cross-source verification, consensus checks, or one report that compares multiple search surfaces. Supports parallel retrieval, confidence scoring, and synthesis-ready outputs.

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

text

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

Scholar-backed research

text

Find recent papers on multimodal reasoning from 2024 onward.

Citation-rich answers

text

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

Deep research reports

text

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

Quick Start

bash

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

bash

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

bash

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"

curl -X POST "https://api.aisa.one/apis/v1/scholar/search/scholar?query=LLM&max_num_results=10&as_ylo=2024&as_yhi=2025" \
  -H "Authorization: Bearer $AISA_API_KEY"

Hybrid Scholar Search

bash

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

Perplexity Sonar APIs

The deprecated /search/full and /search/smart nodes have been removed from this skill.

The replacement flow is the Perplexity API family:

Endpoint	Use case
/perplexity/sonar	Lightweight, cost-effective search answers with citations
/perplexity/sonar-pro	Better for complex queries and multi-step follow-ups
/perplexity/sonar-reasoning-pro	Stronger analytical reasoning with web search
/perplexity/sonar-deep-research	Exhaustive research and long-form reports

These descriptions are based on the AIsa docs:

• Sonar
• Sonar Pro
• Sonar Reasoning Pro
• Sonar Deep Research

Sonar

bash

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar",
    "messages": [
      {"role": "user", "content": "What changed in the AI agent ecosystem this week?"}
    ]
  }'

Sonar Pro

bash

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar-pro" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar-pro",
    "messages": [
      {"role": "user", "content": "Compare the top browser-use agent frameworks and cite the key differences."}
    ]
  }'

Sonar Reasoning Pro

bash

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar-reasoning-pro" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar-reasoning-pro",
    "messages": [
      {"role": "user", "content": "Analyze whether small vertical AI agents can defend against general-purpose copilots."}
    ]
  }'

Sonar Deep Research

bash

curl -X POST "https://api.aisa.one/apis/v1/perplexity/sonar-deep-research" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "sonar-deep-research",
    "messages": [
      {"role": "user", "content": "Create a deep research report on AI coding agents in 2026, including product categories, pricing, and risks."}
    ]
  }'

Tavily APIs

bash

curl -X POST "https://api.aisa.one/apis/v1/tavily/search" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"latest AI developments"}'

curl -X POST "https://api.aisa.one/apis/v1/tavily/extract" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"urls":["https://example.com/article"]}'

curl -X POST "https://api.aisa.one/apis/v1/tavily/crawl" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com","max_depth":2}'

curl -X POST "https://api.aisa.one/apis/v1/tavily/map" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Python Client

bash

# Structured search
python3 scripts/search_client.py web --query "latest AI news" --count 10
python3 scripts/search_client.py scholar --query "transformer architecture" --count 10
python3 scripts/search_client.py smart --query "autonomous agents" --count 10

# Perplexity Sonar family
python3 scripts/search_client.py sonar --query "Summarize this week's AI launches"
python3 scripts/search_client.py sonar-pro --query "Compare AI agent frameworks with citations"
python3 scripts/search_client.py sonar-reasoning-pro --query "Analyze the defensibility of AI copilots"
python3 scripts/search_client.py sonar-deep-research --query "Write a deep research report on AI browser agents"

# Optional system instruction
python3 scripts/search_client.py sonar-pro \
  --query "Map the top coding agent products" \
  --system "Respond in markdown with a short executive summary first."

# Tavily utilities
python3 scripts/search_client.py tavily-search --query "AI developments"
python3 scripts/search_client.py tavily-extract --urls "https://example.com/article"

# Multi-source retrieval
python3 scripts/search_client.py verity --query "Is quantum computing ready for enterprise?"

API Reference

Endpoint	Method	Description
/scholar/search/web	POST	Web search with structured results
/scholar/search/scholar	POST	Academic paper search
/scholar/search/smart	POST	Hybrid scholar search
/scholar/explain	POST	Generate result explanations
/perplexity/sonar	POST	Lightweight search answers with citations
/perplexity/sonar-pro	POST	Advanced search answers for complex tasks
/perplexity/sonar-reasoning-pro	POST	Analytical reasoning with web search
/perplexity/sonar-deep-research	POST	Exhaustive research reports
/tavily/search	POST	Tavily search integration
/tavily/extract	POST	Extract content from URLs
/tavily/crawl	POST	Crawl web pages
/tavily/map	POST	Generate site maps

Parameters

Scholar search query parameters

Parameter	Type	Description
query	string	Search query
max_num_results	integer	Max results (default 10)
as_ylo	integer	Year lower bound
as_yhi	integer	Year upper bound

Perplexity request body

This skill sends a minimal OpenAI-style payload:

json

{
  "model": "sonar-pro",
  "messages": [
    {"role": "system", "content": "Optional system instruction"},
    {"role": "user", "content": "Your question"}
  ]
}

Use messages because the AIsa Perplexity endpoints are presented as "Ask AI" endpoints in the official docs. This skill keeps the payload intentionally small for broad compatibility.

Notes

• /search/full and /search/smart are no longer documented here because you indicated those nodes have been retired.
• The existing scholar and Tavily endpoints remain available.
• verity still focuses on parallel retrieval from scholar, web, hybrid scholar, and Tavily sources.

Full API Reference

See API Reference for complete endpoint documentation.

Resources

• AIsa Verity - Reference implementation of confidence-scored search agent
• AIsa Documentation - Complete API documentation