openclaw-aisa-search-web-academic-tavilyIntelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.
Install via ClawdBot CLI:
clawdbot install AIsaDocs/openclaw-aisa-search-web-academic-tavilyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.aisa.one/apis/v1/scholar/search/web?query=AI+frameworks&max_num_resuCalls external URL not in known-safe list
https://openclaw.aiAI Analysis
The skill sends user queries to its documented API endpoint (api.aisa.one) for search processing, which is consistent with its stated purpose. While the external endpoint isn't on a pre-approved list, there's no evidence of credential harvesting, hidden instructions, or obfuscation. The primary risk is data being sent to a third-party service.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Researchers can use the skill to search for the latest academic papers and web sources on specific topics, with confidence scoring to evaluate source reliability. It's ideal for conducting comprehensive literature reviews, such as finding recent transformer architecture papers, by combining scholar and web searches with meta-analysis.
Business analysts can leverage the skill to gather web articles, reviews, and news on AI startups or RAG frameworks, using Tavily integration for external validation. The confidence scoring helps assess the credibility of market trends and competitor information, supporting data-driven decision-making.
Journalists or content creators can use the skill to aggregate the latest news on topics like quantum computing, with multi-source retrieval to cross-reference information. The meta-analysis phase provides confidence scores to identify reliable sources and reduce misinformation in reporting.
Software developers can employ the skill for smart searches combining web and academic sources on technical subjects like autonomous agents. The two-phase retrieval ensures comprehensive results, and the confidence scoring aids in selecting trustworthy documentation or research for implementation.
Innovation managers can use the skill to scout for breakthroughs in fields like AI, by searching across web, academic, and Tavily sources. The confidence scoring and synthesis capabilities help identify high-potential trends and validate insights for strategic planning and R&D initiatives.
Offer tiered subscription plans based on API call volume and features, such as basic web search vs. full multi-source retrieval with confidence scoring. Revenue is generated through monthly or annual fees from developers, researchers, and businesses integrating the search functionality into their applications.
Provide enterprise licenses for large organizations needing customized search solutions, including on-premise deployment or enhanced security. Revenue comes from one-time licensing fees, ongoing support contracts, and integration services tailored to specific industry needs like market research or academic institutions.
Offer a free tier with limited searches or basic features to attract users, while premium features like advanced Tavily integration, higher confidence scoring, or priority support are paid. Revenue is generated through upgrades, with potential for additional income from data analytics or white-label solutions for partners.
💬 Integration Tip
Ensure the AISA_API_KEY is securely set as an environment variable, and use the provided curl commands to test endpoints before full integration, focusing on the smart search for combined results.
Scored Apr 19, 2026
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