aisa-multi-search-engine

Multi-source search engine powered by AIsa API. Combines Tavily web search, Scholar academic search, Smart hybrid search, and Perplexity deep research — all through a single AIsa API key. Includes confidence scoring and AI synthesis. Use when: the user needs web search, research, source discovery, or content extraction.

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Repository: vramrick/openclaw-skills
Last source activity: April 30, 2026 at 21:56
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name	aisa-multi-search-engine
description	Multi-source search engine powered by AIsa API. Combines Tavily web search, Scholar academic search, Smart hybrid search, and Perplexity deep research — all through a single AIsa API key. Includes confidence scoring and AI synthesis. Use when: the user needs web search, research, source discovery, or content extraction.
author	AIsa
version	1.0.2
license	MIT
user-invocable	true
primaryEnv	AISA_API_KEY
requires	{"bins":["python3","node"],"env":["AISA_API_KEY"]}
metadata	{"aisa":{"emoji":"🔎","requires":{"bins":"[Truncated]","env":"[Truncated]"},"primaryEnv":"AISA_API_KEY","compatibility":["openclaw","claude-code","hermes"]},"openclaw":{"emoji":"🔎","requires":{"bins":"[Truncated]","env":"[Truncated]"},"primaryEnv":"AISA_API_KEY"}}

AIsa Multi Search Engine v1.0.0

Multi-source search engine powered by AIsa API. One API key unlocks web search, academic search, Tavily integration, and Perplexity deep research with confidence-scored results.

Quick Start

export AISA_API_KEY="your-key-here"

Get your API key at aisa.one.

Search Tools

This plugin registers seven agent tools, each backed by a different AIsa API endpoint.

Tool	Description	AIsa Endpoint
`aisa_web_search`	Structured web search results	`/scholar/search/web`
`aisa_scholar_search`	Academic paper search with year filtering	`/scholar/search/scholar`
`aisa_smart_search`	Intelligent hybrid search (web + academic)	`/scholar/search/smart`
`aisa_tavily_search`	Advanced web search with depth, topic, time, domain filters	`/tavily/search`
`aisa_tavily_extract`	Extract clean content from URLs	`/tavily/extract`
`aisa_perplexity_search`	Deep research via Perplexity Sonar models	`/sonar`, `/sonar-pro`, etc.
`aisa_multi_search`	Parallel multi-source search with confidence scoring	Multiple endpoints

Usage Examples

Web Search

Search the web for structured results.

Use aisa_web_search to find "latest developments in AI agents 2025"

Academic Search

Search scholarly papers with optional year filtering.

Use aisa_scholar_search to find papers on "transformer architecture" from 2024 to 2025

Smart Search

Intelligent hybrid search combining web and academic sources.

Use aisa_smart_search to research "autonomous AI agents"

Use aisa_tavily_search for "AI startup funding" with topic "news" and time_range "month"

Use aisa_tavily_extract to get content from ["https://example.com/article"]

Use aisa_perplexity_search to answer "What is the current state of quantum computing?" with model "sonar-pro"

Use aisa_multi_search to comprehensively research "Is quantum computing ready for enterprise use?"

Factor	Weight	Description
Source Availability	40%	How many search sources returned results
Result Quality	35%	Volume of results relative to expectations
Source Diversity	15%	Mix of academic and web sources
Recency	10%	Bonus for having any successful sources

Score	Level	Interpretation
90-100	Very High	Strong consensus across sources
70-89	High	Good agreement, reliable sources
50-69	Medium	Mixed signals, verify independently
30-49	Low	Conflicting or sparse sources
0-29	Very Low	Insufficient data

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

# Academic search
python3 scripts/search_client.py scholar --query "transformer architecture" --year-from 2024

# Smart search
python3 scripts/search_client.py smart --query "autonomous agents" --count 10

# Tavily search
python3 scripts/search_client.py tavily --query "AI developments" --depth advanced

# Extract content from URLs
python3 scripts/search_client.py extract --urls "https://example.com/article"

# Perplexity deep research
python3 scripts/search_client.py sonar --query "quantum computing" --model sonar-pro

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

Endpoint	Method	Description
`/scholar/search/web`	POST	Web search with structured results
`/scholar/search/scholar`	POST	Academic paper search
`/scholar/search/smart`	POST	Intelligent hybrid search
`/scholar/explain`	POST	Generate result explanations with confidence
`/tavily/search`	POST	Tavily web search
`/tavily/extract`	POST	Extract content from URLs
`/tavily/crawl`	POST	Crawl web pages
`/tavily/map`	POST	Generate site maps
`/sonar`	POST	Perplexity Sonar (fast)
`/sonar-pro`	POST	Perplexity Sonar Pro (detailed)
`/sonar-reasoning-pro`	POST	Perplexity Sonar Reasoning Pro
`/sonar-deep-research`	POST	Perplexity Sonar Deep Research

Option	Type	Default	Description
`aisaApiKey`	string	—	AIsa API key (or set `AISA_API_KEY` env var)
`defaultMaxResults`	integer	10	Default max results per search (1-100)
`defaultSearchDepth`	string	`basic`	Default Tavily search depth

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