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The system decomposes user queries into sub-questions, performs parallel web searches, synthesizes results with chain-of-thought reasoning, and automatically determines when additional searches are needed to answer complex questions. This differs from simple retrieval by maintaining reasoning state across search iterations and dynamically adjusting search strategy based on intermediate findings.","intents":["I need to research a complex topic and get current information with reasoning about why sources matter","I want the AI to search multiple angles of a question and synthesize conflicting information","I need real-time data that's too recent for the model's training data"],"best_for":["researchers and analysts needing current, reasoned answers","developers building AI agents that require real-time information","teams investigating complex multi-faceted questions"],"limitations":["Search depth and iteration count not publicly specified — may hit latency limits on very complex queries","Reasoning quality depends on web source quality and availability","No control over search strategy or iteration count from API consumer"],"requires":["OpenRouter API key with Perplexity model access","HTTP/2 capable client for streaming responses","Internet connectivity for real-time search execution"],"input_types":["natural language query","multi-turn conversation context"],"output_types":["text with inline citations","structured reasoning trace"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_1","uri":"capability://search.retrieval.real.time.information.synthesis","name":"real-time-information-synthesis","description":"Integrates live web search results into language model reasoning to provide current information beyond training data cutoff. The system fetches web pages, extracts relevant content, and embeds citations directly into responses with source attribution. This enables answering questions about recent events, current prices, breaking news, and time-sensitive topics that would be impossible with static training data alone.","intents":["I need current information about something that happened after the model's training data","I want answers with verifiable sources and citations I can check","I need to know what's happening right now in a specific domain or market"],"best_for":["news researchers and journalists","financial analysts tracking market changes","developers building real-time information systems"],"limitations":["Citation accuracy depends on web search result quality and page parsing reliability","Cannot access paywalled or authenticated content","Search results may include outdated cached versions of pages"],"requires":["OpenRouter API key","Ability to handle streaming responses with citation metadata","Network connectivity for search execution"],"input_types":["natural language question"],"output_types":["text with embedded citations","source URLs and attribution"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_2","uri":"capability://search.retrieval.multi.turn.context.aware.search","name":"multi-turn-context-aware-search","description":"Maintains conversation history across multiple turns and uses prior context to refine subsequent searches. When a user asks follow-up questions, the system understands the conversation thread and adjusts search queries to be contextually relevant rather than treating each query in isolation. This enables natural dialogue where clarifications, refinements, and related questions build on previous exchanges without requiring users to re-specify context.","intents":["I want to have a natural conversation where follow-up questions understand what we discussed before","I need to drill deeper into a topic through multiple related questions","I want the system to remember my search context across turns"],"best_for":["conversational research workflows","exploratory analysis sessions","users investigating topics iteratively"],"limitations":["Context window size limits how much conversation history can influence searches","No explicit memory persistence — context resets between sessions","Long conversations may cause search queries to become overly constrained by early context"],"requires":["OpenRouter API key","Client-side conversation history management","Support for multi-turn message format"],"input_types":["natural language query","conversation history array"],"output_types":["text response","citations from contextually-refined searches"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_3","uri":"capability://planning.reasoning.structured.reasoning.trace.generation","name":"structured-reasoning-trace-generation","description":"Produces explicit reasoning traces showing the model's thought process during search and synthesis. The system can expose intermediate steps such as query decomposition, search strategy decisions, source evaluation, and synthesis logic. This transparency enables developers to understand why certain sources were chosen, how conflicts were resolved, and what reasoning led to final answers.","intents":["I need to understand why the model chose certain sources over others","I want to audit the reasoning process for compliance or verification","I need to debug why a search didn't find relevant information"],"best_for":["developers building transparent AI systems","compliance and audit teams","researchers studying model reasoning"],"limitations":["Reasoning trace format and detail level not fully specified in public documentation","Trace generation may add latency to response time","Trace verbosity could make responses harder to parse for end users"],"requires":["OpenRouter API key","Support for extended response format with reasoning metadata","Parsing logic to extract and display reasoning traces"],"input_types":["natural language query"],"output_types":["reasoning trace (format unspecified)","final answer text"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_4","uri":"capability://text.generation.language.streaming.response.with.citations","name":"streaming-response-with-citations","description":"Delivers responses as token streams with inline citation markers that can be rendered progressively. Rather than waiting for the complete response, clients receive tokens in real-time with embedded source references that can be displayed as citations appear. This enables responsive UIs that show answers incrementally while maintaining source attribution throughout the response.","intents":["I want to show users answers as they're being generated without waiting for completion","I need to display citations inline as the response streams","I want to reduce perceived latency in search-based applications"],"best_for":["web application developers building responsive UIs","teams building real-time search interfaces","developers optimizing for user experience with streaming"],"limitations":["Citation markers may not align perfectly with token boundaries","Streaming makes it harder to implement response caching","Client must handle partial citations and incomplete source data"],"requires":["OpenRouter API key","HTTP/2 or Server-Sent Events support","Client-side streaming parser for citation markers","UI framework capable of progressive rendering"],"input_types":["natural language query"],"output_types":["token stream with citation metadata"],"categories":["text-generation-language","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_5","uri":"capability://tool.use.integration.api.access.via.openrouter","name":"api-access-via-openrouter","description":"Provides programmatic access to Sonar Pro Search through OpenRouter's unified API gateway, enabling integration into applications without direct Perplexity API contracts. The system handles authentication, rate limiting, and billing through OpenRouter's infrastructure while exposing Sonar Pro's capabilities through standard API endpoints. This abstracts away Perplexity's direct API complexity and enables multi-model applications.","intents":["I want to use Perplexity search in my application without managing separate API contracts","I need to compare Perplexity search with other models through a unified interface","I want to integrate search capabilities without vendor lock-in"],"best_for":["application developers integrating multiple AI models","teams avoiding direct vendor API management","startups prototyping with multiple search providers"],"limitations":["Adds OpenRouter as a dependency and potential point of failure","Pricing may differ from direct Perplexity API","Rate limits and quotas controlled by OpenRouter, not Perplexity","Feature parity with direct Perplexity API not guaranteed"],"requires":["OpenRouter API key","HTTP client library","Understanding of OpenRouter's request/response format"],"input_types":["JSON request with model identifier and messages"],"output_types":["JSON response with text and metadata"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-perplexity-sonar-pro-search__cap_6","uri":"capability://planning.reasoning.deep.reasoning.for.complex.queries","name":"deep-reasoning-for-complex-queries","description":"Applies extended reasoning and analysis to complex, multi-faceted questions that require synthesis across multiple domains or perspectives. The system allocates additional computational resources to decompose complex queries into sub-problems, reason about relationships between concepts, and produce nuanced answers that acknowledge trade-offs and competing viewpoints. This goes beyond simple search by adding explicit reasoning depth.","intents":["I need analysis of a complex topic with multiple perspectives and trade-offs","I want the system to reason deeply about interconnected concepts","I need nuanced answers that acknowledge complexity rather than simple facts"],"best_for":["researchers analyzing complex topics","strategists evaluating multi-faceted decisions","analysts synthesizing information across domains"],"limitations":["Reasoning depth and computational allocation not transparently configurable","May produce longer responses that are harder to summarize","Reasoning quality depends on availability of diverse web sources"],"requires":["OpenRouter API key","Tolerance for longer response times due to extended reasoning","Ability to parse complex, multi-paragraph responses"],"input_types":["natural language query"],"output_types":["text with reasoning and citations"],"categories":["planning-reasoning","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"moderate","permissions":["OpenRouter API key with Perplexity model access","HTTP/2 capable client for streaming responses","Internet connectivity for real-time search execution","OpenRouter API key","Ability to handle streaming responses with citation metadata","Network connectivity for search execution","Client-side conversation history management","Support for multi-turn message format","Support for extended response format with reasoning metadata","Parsing logic to extract and display reasoning traces"],"failure_modes":["Search depth and iteration count not publicly specified — may hit latency limits on very complex queries","Reasoning quality depends on web source quality and availability","No control over search strategy or iteration count from API consumer","Citation accuracy depends on web search result quality and page parsing reliability","Cannot access paywalled or authenticated content","Search results may include outdated cached versions of pages","Context window size limits how much conversation history can influence searches","No explicit memory persistence — context resets between sessions","Long conversations may cause search queries to become overly constrained by early context","Reasoning trace format and detail level not fully specified in public documentation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.39,"ecosystem":0.27,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:24.485Z","last_scraped_at":"2026-05-03T15:20:45.776Z","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=perplexity-sonar-pro-search","compare_url":"https://unfragile.ai/compare?artifact=perplexity-sonar-pro-search"}},"signature":"MOHI+RMicCN+DLfMKmXoURFe6GSVfncgL58kwELoQzx6KSgrQvn7eU59Y53DepPmEkAzYE5ktBFa2kw3muBqCw==","signedAt":"2026-06-21T15:50:52.556Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/perplexity-sonar-pro-search","artifact":"https://unfragile.ai/perplexity-sonar-pro-search","verify":"https://unfragile.ai/api/v1/verify?slug=perplexity-sonar-pro-search","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"}}