# Send AIsa Multi Source Search to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "aisa-multi-source-search",
    "name": "AIsa Multi Source Search",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/AIsaPay/aisa-multi-source-search",
    "canonicalUrl": "https://clawhub.ai/AIsaPay/aisa-multi-source-search",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/aisa-multi-source-search",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aisa-multi-source-search",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/search_client.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/aisa-multi-source-search"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/aisa-multi-source-search",
    "downloadUrl": "https://openagent3.xyz/downloads/aisa-multi-source-search",
    "agentUrl": "https://openagent3.xyz/skills/aisa-multi-source-search/agent",
    "manifestUrl": "https://openagent3.xyz/skills/aisa-multi-source-search/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/aisa-multi-source-search/agent.md"
  }
}
```
## Documentation

### OpenClaw Search 🔍

Intelligent search for autonomous agents. Powered by AIsa.

One API key. Multi-source retrieval. Confidence-scored answers.

Inspired by AIsa Verity - A next-generation search agent with trust-scored answers.

### Research Assistant

"Search for the latest papers on transformer architectures from 2024-2025"

### Market Research

"Find all web articles about AI startup funding in Q4 2025"

### Competitive Analysis

"Search for reviews and comparisons of RAG frameworks"

### News Aggregation

"Get the latest news about quantum computing breakthroughs"

### Deep Dive Research

"Smart search combining web and academic sources on 'autonomous agents'"

### Quick Start

export AISA_API_KEY="your-key"

### 🏗️ Architecture: Multi-Stage Orchestration

OpenClaw Search employs a Two-Phase Retrieval Strategy for comprehensive results:

### Phase 1: Discovery (Parallel Retrieval)

Query 4 distinct search streams simultaneously:

Scholar: Deep academic retrieval
Web: Structured web search
Smart: Intelligent mixed-mode search
Tavily: External validation signal

### Phase 2: Reasoning (Meta-Analysis)

Use AIsa Explain to perform meta-analysis on search results, generating:

Confidence scores (0-100)
Source agreement analysis
Synthesized answers

┌─────────────────────────────────────────────────────────────┐
│                      User Query                              │
└─────────────────────────────────────────────────────────────┘
                              │
              ┌───────────────┼───────────────┐
              ▼               ▼               ▼
        ┌─────────┐     ┌─────────┐     ┌─────────┐
        │ Scholar │     │   Web   │     │  Smart  │
        └─────────┘     └─────────┘     └─────────┘
              │               │               │
              └───────────────┼───────────────┘
                              ▼
                    ┌─────────────────┐
                    │  AIsa Explain   │
                    │ (Meta-Analysis) │
                    └─────────────────┘
                              │
                              ▼
                    ┌─────────────────┐
                    │ Confidence Score│
                    │  + Synthesis    │
                    └─────────────────┘

### Web Search

# Basic 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"

# Full text search (with page content)
curl -X POST "https://api.aisa.one/apis/v1/search/full?query=latest+AI+news&max_num_results=10" \\
  -H "Authorization: Bearer $AISA_API_KEY"

### Academic/Scholar Search

# Search academic papers
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"

# With year filter
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"

### Smart Search (Web + Academic Combined)

# Intelligent hybrid search
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"

### Tavily Integration (Advanced)

# Tavily search
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"}'

# Extract content from URLs
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"]}'

# Crawl web pages
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}'

# Site map
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"}'

### Explain Search Results (Meta-Analysis)

# Generate explanations with confidence scoring
curl -X POST "https://api.aisa.one/apis/v1/scholar/explain" \\
  -H "Authorization: Bearer $AISA_API_KEY" \\
  -H "Content-Type: application/json" \\
  -d '{"results":[...],"language":"en","format":"summary"}'

### 📊 Confidence Scoring Engine

Unlike standard RAG systems, OpenClaw Search evaluates credibility and consensus:

### Scoring Rubric

FactorWeightDescriptionSource Quality40%Academic > Smart/Web > ExternalAgreement Analysis35%Cross-source consensus checkingRecency15%Newer sources weighted higherRelevance10%Query-result semantic match

### Score Interpretation

ScoreConfidence LevelMeaning90-100Very HighStrong consensus across academic and web sources70-89HighGood agreement, reliable sources50-69MediumMixed signals, verify independently30-49LowConflicting sources, use caution0-29Very LowInsufficient or contradictory data

### Python Client

# Web search
python3 {baseDir}/scripts/search_client.py web --query "latest AI news" --count 10

# Academic search
python3 {baseDir}/scripts/search_client.py scholar --query "transformer architecture" --count 10
python3 {baseDir}/scripts/search_client.py scholar --query "LLM" --year-from 2024 --year-to 2025

# Smart search (web + academic)
python3 {baseDir}/scripts/search_client.py smart --query "autonomous agents" --count 10

# Full text search
python3 {baseDir}/scripts/search_client.py full --query "AI startup funding"

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

# Multi-source search with confidence scoring
python3 {baseDir}/scripts/search_client.py verity --query "Is quantum computing ready for enterprise?"

### API Endpoints Reference

EndpointMethodDescription/scholar/search/webPOSTWeb search with structured results/scholar/search/scholarPOSTAcademic paper search/scholar/search/smartPOSTIntelligent hybrid search/scholar/explainPOSTGenerate result explanations/search/fullPOSTFull text search with content/search/smartPOSTSmart web search/tavily/searchPOSTTavily search integration/tavily/extractPOSTExtract content from URLs/tavily/crawlPOSTCrawl web pages/tavily/mapPOSTGenerate site maps

### Search Parameters

ParameterTypeDescriptionquerystringSearch query (required)max_num_resultsintegerMax results (1-100, default 10)as_ylointegerYear lower bound (scholar only)as_yhiintegerYear upper bound (scholar only)

### 🚀 Building a Verity-Style Agent

Want to build your own confidence-scored search agent? Here's the pattern:

### 1. Parallel Discovery

import asyncio

async def discover(query):
    """Phase 1: Parallel retrieval from multiple sources."""
    tasks = [
        search_scholar(query),
        search_web(query),
        search_smart(query),
        search_tavily(query)
    ]
    results = await asyncio.gather(*tasks)
    return {
        "scholar": results[0],
        "web": results[1],
        "smart": results[2],
        "tavily": results[3]
    }

### 2. Confidence Scoring

def score_confidence(results):
    """Calculate deterministic confidence score."""
    score = 0
    
    # Source quality (40%)
    if results["scholar"]:
        score += 40 * len(results["scholar"]) / 10
    
    # Agreement analysis (35%)
    claims = extract_claims(results)
    agreement = analyze_agreement(claims)
    score += 35 * agreement
    
    # Recency (15%)
    recency = calculate_recency(results)
    score += 15 * recency
    
    # Relevance (10%)
    relevance = calculate_relevance(results, query)
    score += 10 * relevance
    
    return min(100, score)

### 3. Synthesis

async def synthesize(query, results, score):
    """Generate final answer with citations."""
    explanation = await explain_results(results)
    return {
        "answer": explanation["summary"],
        "confidence": score,
        "sources": explanation["citations"],
        "claims": explanation["claims"]
    }

For a complete implementation, see AIsa Verity.

### Pricing

APICostWeb search~$0.001Scholar search~$0.002Smart search~$0.002Tavily search~$0.002Explain~$0.003

Every response includes usage.cost and usage.credits_remaining.

### Get Started

Sign up at aisa.one
Get your API key
Add credits (pay-as-you-go)
Set environment variable: export AISA_API_KEY="your-key"

### 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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: AIsaPay
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/aisa-multi-source-search)
- [Send to Agent page](https://openagent3.xyz/skills/aisa-multi-source-search/agent)
- [JSON manifest](https://openagent3.xyz/skills/aisa-multi-source-search/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/aisa-multi-source-search/agent.md)
- [Download page](https://openagent3.xyz/downloads/aisa-multi-source-search)