{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_andi","slug":"andi","name":"Andi","type":"product","url":"https://andisearch.com","page_url":"https://unfragile.ai/andi","categories":["research-search"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_andi__cap_0","uri":"capability://search.retrieval.generative.answer.synthesis.from.web.results","name":"generative-answer-synthesis-from-web-results","description":"Andi processes web search results through a generative AI model (likely GPT-4 or similar) to synthesize direct answers rather than returning ranked link lists. The system retrieves relevant documents, extracts key information, and generates coherent natural language responses that directly address user queries, eliminating the need for users to visit multiple sources. This differs from traditional search engines that rank documents by relevance; Andi performs semantic understanding and abstractive summarization in real-time.","intents":["Get a direct answer to my question without clicking through 10 blue links","Understand a topic quickly by reading a synthesized overview instead of visiting multiple websites","Save time on straightforward informational queries by getting instant context"],"best_for":["End users seeking quick answers to factual or explanatory queries","Non-technical users who find traditional search results overwhelming","Teams prototyping generative search experiences without building infrastructure"],"limitations":["Citation transparency is weak—generated answers often lack clear source attribution or hyperlinks to original sources, making verification difficult","Hallucination risk: synthesized answers may conflate information from multiple sources or introduce inaccuracies not present in source material","Real-time generation adds latency (typically 2-5 seconds) compared to pre-indexed link ranking in traditional search","No ability to customize answer length, tone, or depth—one-size-fits-all synthesis approach"],"requires":["Internet connection with sufficient bandwidth for real-time API calls","Modern web browser (Chrome, Firefox, Safari, Edge from 2020+)","No authentication or API keys required—fully public service"],"input_types":["natural language query (text)","conversational follow-up questions"],"output_types":["synthesized natural language answer (text)","embedded source links (optional, inconsistent)","suggested follow-up questions"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_1","uri":"capability://planning.reasoning.conversational.follow.up.question.suggestion","name":"conversational-follow-up-question-suggestion","description":"After generating an initial answer, Andi's system analyzes the query and response to suggest 3-5 contextually relevant follow-up questions that users can click to refine their search. This is implemented as a post-processing step that uses the generated answer and original query as context for a secondary generative model call to produce natural refinement paths. The suggestions appear as clickable chips below the answer, enabling multi-turn search without requiring users to retype or manually construct new queries.","intents":["Explore related subtopics without manually typing new search queries","Discover what questions I should ask next to deepen my understanding","Refine my search direction through guided suggestions rather than trial-and-error"],"best_for":["Users exploring unfamiliar topics who need guidance on what to ask next","Researchers conducting iterative information gathering","Non-expert users who may not know the right terminology to search for"],"limitations":["Suggestions are generic and not personalized to user's prior search history or context","Limited to 3-5 suggestions—may not cover all relevant refinement directions","Suggestions are generated without user feedback loop, so irrelevant suggestions cannot be downranked","No ability to customize suggestion style (e.g., more technical vs. beginner-friendly)"],"requires":["JavaScript enabled in browser to render clickable suggestion chips","Active internet connection for follow-up query processing"],"input_types":["original user query (text)","generated answer (text)"],"output_types":["suggested follow-up questions (text, clickable)","new search results when suggestion is clicked"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_2","uri":"capability://search.retrieval.real.time.web.document.retrieval.and.ranking","name":"real-time-web-document-retrieval-and-ranking","description":"Andi maintains a web crawler and indexing pipeline that retrieves current documents matching user queries in real-time, then ranks them by relevance to feed into the generative synthesis step. The system likely uses a combination of full-text search (BM25 or similar) and semantic ranking (embedding-based similarity) to identify the most relevant sources before passing them to the LLM. This retrieval layer is critical because the quality of synthesized answers depends entirely on the quality and recency of retrieved sources.","intents":["Ensure answers are based on current, up-to-date information from the web","Find the most relevant sources for a query without manual ranking","Support synthesis with diverse perspectives by retrieving multiple relevant documents"],"best_for":["Users querying time-sensitive topics (news, prices, events) where recency is critical","Builders evaluating generative search architectures who need to understand retrieval-synthesis coupling","Teams building RAG systems who want to study production-scale web retrieval patterns"],"limitations":["Retrieval quality is opaque—no visibility into which sources were selected or why, making it difficult to debug poor answers","Real-time crawling adds latency and infrastructure cost, limiting query throughput compared to pre-indexed systems","No ability to restrict searches to specific domains, date ranges, or source types—all-or-nothing web search","Ranking algorithm is proprietary and not tunable by users, so irrelevant results cannot be filtered"],"requires":["Andi's backend infrastructure (no user-facing API or SDK available)","Internet connectivity to access live web documents"],"input_types":["natural language query (text)"],"output_types":["ranked list of relevant web documents (URLs, snippets, metadata)","passed to generative synthesis step (internal)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_3","uri":"capability://search.retrieval.free.public.access.without.authentication","name":"free-public-access-without-authentication","description":"Andi operates as a completely free, unauthenticated service with no paywall, premium tier, or login requirement. Users can access the search engine directly via web browser without creating an account, providing API keys, or paying subscription fees. This is a business model and UX choice that prioritizes accessibility over monetization, contrasting with ChatGPT+ (paid) and Google (ad-supported).","intents":["Use advanced generative search without paying for a subscription or premium tier","Access AI-powered search without friction or account creation overhead","Evaluate generative search technology without financial commitment"],"best_for":["Budget-conscious users and students who cannot afford paid search tools","Researchers and builders evaluating generative search without licensing costs","Teams prototyping search features who want to avoid vendor lock-in"],"limitations":["No usage limits or rate limiting visible to users, but backend likely has undisclosed quotas to prevent abuse","No user accounts mean no search history, saved queries, or personalization across sessions","Unclear monetization model raises sustainability concerns—service may be subsidized or may pivot to paid tier","No SLA or uptime guarantees; free service may have lower reliability than paid alternatives"],"requires":["Web browser with JavaScript enabled","Internet connection","No API key, authentication, or payment method required"],"input_types":["natural language query (text)"],"output_types":["synthesized answer (text)","follow-up suggestions (text)"],"categories":["search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_4","uri":"capability://safety.moderation.weak.source.attribution.and.citation","name":"weak-source-attribution-and-citation","description":"Andi's generated answers include minimal or inconsistent source attribution. While some answers may include hyperlinks to source documents, the system does not provide explicit citations (e.g., '[1]', '[2]') or a structured bibliography showing which sources contributed to which parts of the answer. This is a significant architectural limitation because it makes it difficult for users to verify claims, trace information origins, or understand the confidence level of synthesized statements. The system prioritizes answer readability over citation transparency.","intents":["Understand where information in an answer came from","Verify claims by visiting original sources","Assess the credibility and recency of synthesized information"],"best_for":["Users who need to verify information for academic or professional purposes","Researchers and fact-checkers who require transparent source attribution","Teams building citation-aware generative search systems who want to avoid Andi's limitations"],"limitations":["No explicit citation markers (e.g., '[1]', '[2]') linking answer sentences to sources","Source links are often missing or embedded inconsistently within answer text","No structured metadata about source credibility, publication date, or domain authority","Impossible to determine which sources contributed to which claims in multi-source synthesis","No ability to customize citation style (APA, MLA, Chicago, etc.)"],"requires":["User must manually trace claims back to sources by clicking embedded links","No API or structured data export available for citation analysis"],"input_types":["synthesized answer (text, internal)"],"output_types":["answer with optional embedded hyperlinks (text, inconsistent)","no structured citation data"],"categories":["safety-moderation","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_5","uri":"capability://memory.knowledge.single.turn.answer.generation.without.persistent.context","name":"single-turn-answer-generation-without-persistent-context","description":"Andi generates answers to individual queries without maintaining conversation history or persistent user context across sessions. Each search is treated as an independent request—the system does not retain previous queries, answers, or user preferences to inform subsequent searches. This is a stateless architecture that simplifies backend infrastructure but limits the ability to provide personalized or context-aware refinements. Follow-up suggestions are generated based only on the current query and answer, not on the user's search history.","intents":["Get a quick answer to a single question without setting up a conversation context","Use search without worrying about privacy implications of storing search history","Avoid the overhead of multi-turn conversation management"],"best_for":["Users seeking one-off answers to isolated questions","Privacy-conscious users who prefer stateless interactions","Builders evaluating stateless search architectures for simplicity"],"limitations":["No search history means users cannot revisit previous queries or answers","No personalization—suggestions and answers are generic, not tailored to user's interests or expertise level","Multi-turn research workflows require users to manually maintain context (e.g., copy-pasting previous answers)","No ability to refine answers based on feedback from previous searches","Each session starts fresh, so users cannot build on prior searches"],"requires":["Users must manually track context across searches","No account or session persistence required"],"input_types":["natural language query (text)"],"output_types":["synthesized answer (text)","follow-up suggestions (text)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_andi__cap_6","uri":"capability://tool.use.integration.browser.based.web.interface.without.api","name":"browser-based-web-interface-without-api","description":"Andi is accessible exclusively through a web browser interface (andisearch.com) with no public API, SDK, or programmatic access. Users interact with the search engine through a web UI that accepts text queries and displays synthesized answers. There is no way for developers to integrate Andi's capabilities into third-party applications, build custom search experiences, or automate queries programmatically. This is a distribution choice that limits extensibility but simplifies product management.","intents":["Use Andi as a consumer search engine through a web browser","Access generative search without building custom infrastructure","Evaluate Andi's capabilities without technical integration work"],"best_for":["End users searching through a web browser","Non-technical users who prefer UI-based interaction","Teams evaluating Andi as a consumer product rather than a platform"],"limitations":["No API or SDK available—developers cannot programmatically query Andi or integrate it into applications","No ability to batch process queries or automate search workflows","No webhooks, callbacks, or event-driven integration patterns","Cannot customize UI, answer format, or output structure","No way to export search results in structured formats (JSON, CSV, etc.)"],"requires":["Modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","Internet connection"],"input_types":["text query via web form"],"output_types":["HTML-rendered answer and suggestions in web browser"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"low","permissions":["Internet connection with sufficient bandwidth for real-time API calls","Modern web browser (Chrome, Firefox, Safari, Edge from 2020+)","No authentication or API keys required—fully public service","JavaScript enabled in browser to render clickable suggestion chips","Active internet connection for follow-up query processing","Andi's backend infrastructure (no user-facing API or SDK available)","Internet connectivity to access live web documents","Web browser with JavaScript enabled","Internet connection","No API key, authentication, or payment method required"],"failure_modes":["Citation transparency is weak—generated answers often lack clear source attribution or hyperlinks to original sources, making verification difficult","Hallucination risk: synthesized answers may conflate information from multiple sources or introduce inaccuracies not present in source material","Real-time generation adds latency (typically 2-5 seconds) compared to pre-indexed link ranking in traditional search","No ability to customize answer length, tone, or depth—one-size-fits-all synthesis approach","Suggestions are generic and not personalized to user's prior search history or context","Limited to 3-5 suggestions—may not cover all relevant refinement directions","Suggestions are generated without user feedback loop, so irrelevant suggestions cannot be downranked","No ability to customize suggestion style (e.g., more technical vs. beginner-friendly)","Retrieval quality is opaque—no visibility into which sources were selected or why, making it difficult to debug poor answers","Real-time crawling adds latency and infrastructure cost, limiting query throughput compared to pre-indexed systems","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.2,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:29.133Z","last_scraped_at":"2026-04-05T13:23:42.561Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=andi","compare_url":"https://unfragile.ai/compare?artifact=andi"}},"signature":"eh1ippPCxHbPtUwdkTFwpfM1PuOUYxLimaMzfyH7Z/n/Dkmm1hxOJq0yIPkPPNp4akWG60eJ0r+nkVFxhhNTDQ==","signedAt":"2026-06-15T22:24:17.207Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/andi","artifact":"https://unfragile.ai/andi","verify":"https://unfragile.ai/api/v1/verify?slug=andi","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}