{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"exa-api","slug":"exa-api","name":"Exa API","type":"api","url":"https://exa.ai","page_url":"https://unfragile.ai/exa-api","categories":["rag-knowledge"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":"$50/mo"},"status":"active","verified":false},"capabilities":[{"id":"exa-api__cap_0","uri":"capability://search.retrieval.semantic.web.search.with.neural.ranking","name":"semantic-web-search-with-neural-ranking","description":"Performs real-time web search using neural embeddings to understand query intent and semantic meaning rather than keyword matching. Returns ranked results with full page content (not snippets) and relevance highlights. Supports three latency profiles: Instant (<180ms), Auto (~1s), and Deep Search (up to 60s) for varying use cases. Integrates directly with AI agent frameworks via tool-calling APIs for Claude, GPT, and other LLMs.","intents":["Find specific web content that matches semantic intent, not just keyword presence","Retrieve full page text for RAG pipelines without making separate HTTP requests","Build AI agents that can search the web in real-time with sub-second latency","Extract structured data from search results with relevance highlights for context windows"],"best_for":["AI agent developers building Claude/GPT agents that need web search capabilities","RAG system builders who need full-page content retrieval integrated with search","Teams building research tools that require semantic understanding over keyword matching","Developers optimizing LLM context windows and token usage in search workflows"],"limitations":["Instant search (<180ms) limited to lower result counts; Deep Search up to 60s for complex queries","No documented maximum query length or token limits per request","Geographic coverage and regional availability not documented","Semantic ranking quality depends on query clarity; ambiguous queries may return less relevant results","Free tier limited to 1,000 requests/month across all products combined"],"requires":["Exa API key (free tier available, no credit card required)","Python 3.7+ or Node.js 14+ for official SDKs","Network connectivity for real-time web access","Integration with OpenAI SDK, Anthropic SDK, or direct HTTP client"],"input_types":["natural language query string","structured search parameters (num_results, include_domains, exclude_domains)","optional content type filters (news, code, documentation)"],"output_types":["JSON with results array containing title, URL, published_date, author","full page text content for each result","relevance highlights showing matched passages","structured metadata (domain, content_length)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_1","uri":"capability://search.retrieval.deep.search.with.multi.step.reasoning","name":"deep-search-with-multi-step-reasoning","description":"Performs complex multi-step web research with structured output extraction and reasoning. Accepts complex queries and returns organized, citation-backed results with extracted structured data. Latency up to 60 seconds allows for iterative search refinement and content synthesis. Designed for research tasks requiring more than simple keyword matching, such as comparative analysis, fact-checking, or data aggregation across multiple sources.","intents":["Conduct multi-step research tasks that require finding and synthesizing information across multiple web sources","Extract structured data (e.g., company info, product comparisons) from unstructured web content","Generate research reports with citations and evidence backing each claim","Perform fact-checking and verification by searching for corroborating sources"],"best_for":["AI agents performing research-heavy tasks (competitive analysis, market research)","LLM applications requiring structured data extraction from web sources","Teams building fact-checking or verification systems","Non-real-time workflows where 30-60 second latency is acceptable"],"limitations":["Latency up to 60 seconds makes it unsuitable for real-time agent loops or user-facing chat","Pricing higher than standard search ($12-15 per 1k requests vs $7 for standard search)","Exact reasoning mechanism and multi-step process not documented","No control over number of reasoning steps or depth of analysis","Structured output schema not formally documented"],"requires":["Exa API key with Deep Search access","Acceptance of 30-60 second latency in application design","Python 3.7+ or Node.js 14+ SDK, or direct HTTP client","Budget for higher per-request costs ($12-15 per 1k requests)"],"input_types":["complex natural language query requiring multi-step research","optional structured parameters for output format preferences","optional domain/source restrictions"],"output_types":["JSON with structured extracted data fields","citations linking each data point to source URLs","synthesized analysis combining multiple sources","confidence scores or relevance metrics (if available)"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_10","uri":"capability://search.retrieval.domain.filtering.and.source.restriction","name":"domain-filtering-and-source-restriction","description":"Supports filtering search results by domain inclusion/exclusion lists and source restrictions. Allows developers to limit searches to specific domains (e.g., only news sites, only GitHub) or exclude domains (e.g., exclude social media). Filtering is applied server-side, reducing irrelevant results and improving result quality for domain-specific queries.","intents":["Search only within specific domains (e.g., academic papers, news sites, code repositories)","Exclude low-quality or irrelevant sources from search results","Build vertical-specific search applications with domain restrictions","Improve search quality by filtering to authoritative sources"],"best_for":["Vertical-specific search applications (news, code, academic)","Teams building domain-restricted search experiences","Applications requiring high-quality sources (news, research)","Developers optimizing search relevance through source filtering"],"limitations":["Domain filtering parameters and syntax not documented","No documented support for wildcard domains or regex patterns","Performance impact of domain filtering not specified","No documented limit on number of domains in include/exclude lists","Filtering applied at result level; may reduce result count significantly"],"requires":["Exa API key","Knowledge of target domains for filtering","Python 3.7+ or Node.js 14+ SDK"],"input_types":["query string","include_domains list (optional)","exclude_domains list (optional)"],"output_types":["filtered search results from specified domains","full page content for matching results","metadata indicating applied filters"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_11","uri":"capability://data.processing.analysis.structured.output.extraction.with.citations","name":"structured-output-extraction-with-citations","description":"Extracts structured data from search results and web pages with citations linking each extracted field back to source URLs. Enables building applications that return organized, verified data instead of raw search results. Works in conjunction with Deep Search for complex extraction tasks. Supports custom schema definition for domain-specific data extraction.","intents":["Extract structured company data (name, CEO, founding year) from search results with citations","Build data aggregation pipelines that combine information from multiple sources","Create fact-checked datasets with transparent source attribution","Generate structured reports with evidence backing each data point"],"best_for":["Business intelligence and data aggregation platforms","Fact-checking and verification systems","Research and analysis tools requiring structured outputs","Teams building domain-specific data extraction pipelines"],"limitations":["Custom schema definition mechanism not documented","Extraction accuracy and hallucination rates not specified","No documented support for complex nested structures","Extraction quality depends on source content clarity","Pricing for structured extraction not separately specified"],"requires":["Exa API key with Deep Search or structured extraction access","Schema definition for target data structure (format unknown)","Python 3.7+ or Node.js 14+ SDK"],"input_types":["query string for research","schema definition for extraction (format unknown)","optional source domain restrictions"],"output_types":["structured JSON with extracted fields","citations linking each field to source URL","confidence scores or extraction metadata (if available)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_12","uri":"capability://data.processing.analysis.batch.content.retrieval.and.processing","name":"batch-content-retrieval-and-processing","description":"Supports retrieving and processing content from multiple URLs or search results in batch operations. Enables efficient processing of large numbers of pages without individual API calls per page. Batch operations are optimized for throughput and cost efficiency, making them suitable for large-scale content processing pipelines.","intents":["Retrieve content from hundreds of URLs efficiently without individual API calls","Build large-scale content processing pipelines for RAG systems","Process search results in bulk for analysis or extraction","Optimize API costs by batching content retrieval requests"],"best_for":["Large-scale RAG systems processing hundreds/thousands of pages","Batch content processing and ETL pipelines","Teams optimizing API costs through batching","Document processing applications with high throughput requirements"],"limitations":["Batch API documentation not provided; batch capability not explicitly confirmed","Maximum batch size and throughput limits unknown","Batch processing latency and SLA not documented","Error handling for partial batch failures not specified","Pricing for batch operations not separately specified"],"requires":["Exa API key","Batch API support (if available)","Python 3.7+ or Node.js 14+ SDK with batch support"],"input_types":["array of URLs or search result references","optional content type specifications per item","optional batch processing parameters"],"output_types":["array of content retrieval results","per-item status and error information","aggregated metadata about batch operation"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_13","uri":"capability://safety.moderation.enterprise.features.zero.data.retention.custom.moderation","name":"enterprise-features-zero-data-retention-custom-moderation","description":"Provides enterprise-grade features including Zero Data Retention (ZDR) option for privacy-sensitive applications and tailored content moderation policies. ZDR ensures no query or result data is retained by Exa after request completion. Custom moderation allows enterprises to define content policies specific to their use case. SOC 2 Type II certified for security and compliance.","intents":["Build privacy-sensitive applications where query data cannot be retained","Deploy in regulated industries (healthcare, finance) with strict data retention requirements","Implement custom content moderation policies for specific use cases","Meet compliance requirements (SOC 2, data residency) for enterprise deployments"],"best_for":["Enterprise applications with strict privacy and compliance requirements","Healthcare, finance, and regulated industry applications","Teams handling sensitive user data or queries","Organizations requiring custom content moderation"],"limitations":["Zero Data Retention option available only for Enterprise tier","Custom moderation policies require Enterprise plan","Specific compliance certifications beyond SOC 2 Type II not documented","Data residency options not documented","Enterprise pricing and minimum commitments not specified"],"requires":["Enterprise tier subscription","Exa API key with enterprise features enabled","Compliance and legal review of ZDR and moderation policies"],"input_types":["standard Exa API requests","custom moderation policy definitions (format unknown)"],"output_types":["search results with custom moderation applied","compliance attestations (if requested)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_14","uri":"capability://safety.moderation.enterprise.security.features.sso.zdr.soc2","name":"enterprise-security-features-sso-zdr-soc2","description":"Provides enterprise-grade security features including SSO (Single Sign-On) for authentication, Zero Data Retention (ZDR) for privacy-sensitive deployments, and SOC 2 Type II compliance certification. Enables enterprise customers to meet security and compliance requirements without custom integration or data handling agreements.","intents":["I need to integrate Exa into my enterprise with SSO authentication","I need to ensure no query data is retained by Exa for compliance reasons","I need to verify Exa meets SOC 2 Type II compliance for my security audit","I need enterprise-grade security features for my production deployment"],"best_for":["Enterprise customers with SSO and compliance requirements","Privacy-sensitive applications requiring zero data retention","Organizations undergoing security audits or compliance reviews"],"limitations":["SSO, ZDR, and SOC 2 compliance available only on enterprise tier; not available on free or standard plans","ZDR may impact feature availability; unclear which features are disabled with ZDR enabled","SOC 2 Type II certification scope not documented; unclear which services are covered","No SLA or uptime guarantees documented; enterprise SLAs require custom negotiation","Tailored moderation policies available but details not documented"],"requires":["Enterprise tier subscription (pricing not documented)","SSO provider (Okta, Azure AD, etc.) for SSO integration","Custom contract/MSA for enterprise features"],"input_types":["SSO credentials (via enterprise provider)"],"output_types":["authenticated API access with enterprise features"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_15","uri":"capability://tool.use.integration.api.dashboard.and.onboarding.with.stack.specific.code","name":"api-dashboard-and-onboarding-with-stack-specific-code","description":"Provides interactive API dashboard at dashboard.exa.ai with guided onboarding that generates stack-specific integration code based on user's technology choices. Dashboard handles API key generation, SDK installation, and provides code examples for selected framework/language combination. Reduces setup time from hours to minutes.","intents":["I want to get started with Exa quickly without reading documentation","I need generated code examples for my specific tech stack","I want to manage my API keys and usage from a dashboard","I need to see my API usage and costs in real-time"],"best_for":["New Exa users getting started quickly","Teams evaluating Exa and wanting minimal setup friction","Developers preferring guided onboarding over documentation"],"limitations":["Generated code may be boilerplate; advanced use cases require manual customization","Dashboard functionality not fully documented; unclear what analytics or usage tracking is available","Stack-specific code generation limited to documented integrations; custom stacks require manual implementation","No API for dashboard operations; API key management requires manual dashboard access","Dashboard availability and uptime not documented; no SLA mentioned"],"requires":["Web browser with JavaScript enabled","Exa account (free or paid)"],"input_types":["technology stack selection (language, framework)"],"output_types":["generated code examples","API key","SDK installation instructions"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_2","uri":"capability://search.retrieval.full.page.content.retrieval.with.selective.highlighting","name":"full-page-content-retrieval-with-selective-highlighting","description":"Retrieves complete HTML/text content from web pages referenced in search results or provided URLs. Supports selective highlighting of relevant passages to reduce token usage in LLM context windows. Highlights are computed based on query relevance, allowing LLMs to focus on pertinent sections without processing entire page text. Configurable to return different content types (full text, HTML, markdown) and supports batch retrieval of multiple pages.","intents":["Retrieve full page content for RAG systems without making separate HTTP requests to target URLs","Reduce LLM context window usage by highlighting only relevant passages from long documents","Extract specific information from web pages while maintaining full content availability for verification","Build document processing pipelines that need both full content and relevance-based summaries"],"best_for":["RAG system builders who need full-page content integrated with search","Teams optimizing LLM token usage and context window efficiency","Document processing pipelines requiring both full text and selective excerpts","AI agents that need to read and analyze complete web pages for decision-making"],"limitations":["Pricing per page ($1 per 1k pages per content type) adds cost for large-scale content retrieval","Maximum page size and content length limits not documented","Highlighting algorithm and relevance scoring mechanism not specified","No batch API documented; unclear if multiple pages can be retrieved in single request","HTML parsing quality and consistency across different page structures unknown"],"requires":["Exa API key with Contents endpoint access","URL or search result reference from prior search call","Budget for per-page costs ($1 per 1k pages)","Python 3.7+ or Node.js 14+ SDK"],"input_types":["URL string","search result reference from prior Exa search","optional content type specification (text, HTML, markdown)","optional highlight parameters (query for relevance scoring)"],"output_types":["full page text content","HTML markup (if requested)","markdown formatted content","relevance highlights showing matched passages","metadata (content_length, last_updated, encoding)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_3","uri":"capability://automation.workflow.web.event.monitoring.with.webhook.delivery","name":"web-event-monitoring-with-webhook-delivery","description":"Monitors the web for new content matching specified queries at scheduled intervals (daily, weekly). Delivers new results via webhooks to a specified endpoint when matches are found. Enables continuous tracking of web events, news, competitor activity, or other time-sensitive information without polling. Results are delivered asynchronously with full page content available for each match.","intents":["Track competitor activity, product launches, or market news without manual polling","Monitor for mentions of your brand, product, or specific topics across the web","Build alert systems that notify users when new relevant content is published","Maintain continuous awareness of industry trends and news in specific domains"],"best_for":["Teams building alert/notification systems for web events","Competitive intelligence platforms requiring continuous monitoring","News aggregation services tracking specific topics or keywords","Enterprise applications needing scheduled web monitoring without real-time requirements"],"limitations":["Monitoring is scheduled (daily/weekly), not real-time; new content may be delayed by up to 24 hours","Webhook delivery format and retry logic not documented","No documented maximum number of concurrent monitors per account","Pricing at $15 per 1k requests makes high-frequency monitoring expensive","Webhook endpoint must be publicly accessible and handle authentication"],"requires":["Exa API key with Monitors endpoint access","Publicly accessible webhook endpoint with HTTPS","Webhook authentication mechanism (not documented)","Budget for $15 per 1k requests pricing","Ability to handle asynchronous webhook delivery and retry logic"],"input_types":["query string for monitoring","schedule specification (daily, weekly)","webhook URL for result delivery","optional content type filters"],"output_types":["webhook POST request with new results","JSON payload containing matched results","full page content for each match","timestamp of monitoring execution"],"categories":["automation-workflow","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_4","uri":"capability://text.generation.language.web.grounded.answer.generation.with.streaming","name":"web-grounded-answer-generation-with-streaming","description":"Generates direct answers to queries by searching the web and synthesizing information from multiple sources in real-time. Supports streaming responses for progressive answer delivery. Answers include citations linking back to source URLs, enabling verification and transparency. Designed for use cases where users need quick, sourced answers rather than raw search results.","intents":["Generate direct answers to user questions with web sources cited","Build conversational AI systems that provide sourced answers instead of raw search results","Stream answers progressively to users for faster perceived response time","Create fact-checked responses with transparent source attribution"],"best_for":["Conversational AI and chatbot applications requiring web-grounded answers","Question-answering systems where citation and source transparency are important","Applications requiring streaming responses for progressive answer delivery","Teams building search-augmented LLM applications with answer synthesis"],"limitations":["Latency not documented; described only as 'fast' without specific benchmarks","Underlying LLM model(s) used for answer generation not documented","No control over answer length, format, or synthesis approach","Streaming response format and chunking strategy not documented","Pricing at $5 per 1k requests higher than standard search","Citation accuracy and source relevance quality not independently verified"],"requires":["Exa API key with Answer endpoint access","HTTP client supporting streaming responses (chunked transfer encoding)","Budget for $5 per 1k requests pricing","Python 3.7+ or Node.js 14+ SDK with streaming support"],"input_types":["natural language query string","optional streaming preference (streaming vs non-streaming)","optional source domain restrictions"],"output_types":["streaming JSON responses with progressive answer chunks","complete answer text (non-streaming mode)","citations with source URLs and relevance scores","metadata about sources used"],"categories":["text-generation-language","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_5","uri":"capability://search.retrieval.vertical.specific.search.indexes.people.companies.code","name":"vertical-specific-search-indexes-people-companies-code","description":"Provides specialized search indexes optimized for specific content types: People (person search), Companies (70M+ structured company database with fields like company_name, ceo_name, founded_year), and Code (GitHub repos, Stack Overflow, documentation). Each vertical maintains structured metadata enabling filtered search and extraction of specific fields without full-page content retrieval.","intents":["Search for people by name, role, or affiliation with structured profile data","Find companies by name, industry, or founder with structured financial/operational data","Search code repositories and documentation for specific implementations or examples","Extract structured company data (CEO, founding year, industry) for business intelligence"],"best_for":["Business intelligence and sales intelligence platforms requiring company data","Recruitment and talent search applications","Code search and documentation discovery tools","Teams building vertical-specific search applications (recruiting, sales, developer tools)"],"limitations":["Company database limited to 70M+ companies; coverage gaps in emerging markets or private companies","Structured fields available per vertical not fully documented","Search quality and completeness within each vertical unknown","No documented update frequency for company data or code indexes","Pricing model for vertical searches not separately specified (assumed same as standard search)","People search accuracy and privacy implications not documented"],"requires":["Exa API key with access to specific vertical indexes","Knowledge of available structured fields for target vertical","Python 3.7+ or Node.js 14+ SDK"],"input_types":["natural language query optimized for vertical (e.g., 'CEO of Anthropic' for People)","optional structured field filters (company_name, founded_year, etc.)","optional result count and sorting parameters"],"output_types":["structured results with vertical-specific fields","company data: company_name, ceo_name, founded_year, industry, revenue (if available)","people data: name, title, affiliation, social profiles (if available)","code data: repository URL, language, stars, description"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_6","uri":"capability://text.generation.language.ai.page.summarization.with.token.optimization","name":"ai-page-summarization-with-token-optimization","description":"Automatically generates AI-powered summaries of web pages to reduce token usage in LLM context windows. Summaries are computed server-side and returned alongside full content, allowing applications to choose between full text and condensed summaries based on use case. Pricing at $1 per 1k pages makes it cost-effective for large-scale content processing.","intents":["Reduce token usage when processing large numbers of web pages in RAG systems","Generate quick summaries of search results for users without full-page reading","Build document processing pipelines that need both summaries and full content","Optimize LLM context windows by using summaries instead of full pages"],"best_for":["RAG systems processing hundreds or thousands of pages","Applications with strict token budget constraints","Teams optimizing LLM inference costs","Document summarization and knowledge extraction pipelines"],"limitations":["Summary quality and length not documented; no control over summary parameters","Underlying summarization model not specified","No documented summary format or structure","Pricing at $1 per 1k pages adds cost on top of content retrieval costs","Summary accuracy and completeness not independently verified","No option to customize summary length or focus areas"],"requires":["Exa API key with AI page summarization access","Budget for $1 per 1k pages summarization cost","Python 3.7+ or Node.js 14+ SDK"],"input_types":["URL or search result reference","optional summary length preference (not documented if supported)"],"output_types":["AI-generated summary text","full page content (optional)","summary metadata (length, compression ratio)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_7","uri":"capability://tool.use.integration.native.ai.framework.integration.with.tool.calling","name":"native-ai-framework-integration-with-tool-calling","description":"Provides native integrations with major AI frameworks and LLM providers via tool-calling APIs. Supports Anthropic Claude tool calling, OpenAI function calling, Vercel AI SDK, LangChain, CrewAI, and LlamaIndex. Integrations handle schema generation, parameter marshaling, and response parsing automatically, eliminating boilerplate code for agents.","intents":["Add web search capabilities to Claude or GPT agents with minimal code","Build multi-step AI agents that can search the web as part of reasoning loops","Integrate Exa search into LangChain or CrewAI agent workflows","Use Exa as a tool in LlamaIndex RAG pipelines"],"best_for":["AI agent developers using Claude, GPT, or open-source LLMs","Teams building with LangChain, CrewAI, or LlamaIndex frameworks","Developers wanting minimal integration boilerplate","Applications requiring real-time web search in agent loops"],"limitations":["Integration quality and feature parity across frameworks not documented","Tool schema generation mechanism not specified","No documented support for custom tool parameters or advanced features","Framework version compatibility not specified","Error handling and retry logic in integrations not documented"],"requires":["Exa API key","Supported framework: Anthropic SDK, OpenAI SDK, Vercel AI SDK, LangChain, CrewAI, or LlamaIndex","Python 3.7+ or Node.js 14+ depending on framework","Framework-specific setup (API keys for Claude/GPT, etc.)"],"input_types":["framework-specific agent configuration","tool parameters (query, num_results, etc.)","agent reasoning context"],"output_types":["search results in framework-native format","tool response compatible with agent reasoning loop","structured data for downstream agent steps"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_8","uri":"capability://tool.use.integration.model.context.protocol.mcp.server","name":"model-context-protocol-mcp-server","description":"Provides an MCP (Model Context Protocol) server implementation enabling Claude and other MCP-compatible clients to access Exa search capabilities. Allows Claude to use Exa as a native tool without explicit function calling setup. Supports both Exa MCP and Websets MCP for different use cases.","intents":["Use Exa search directly in Claude desktop or Claude API without tool-calling setup","Build Claude applications that can search the web as part of reasoning","Enable MCP-compatible clients to access Exa search capabilities","Simplify integration for Claude users who prefer MCP over function calling"],"best_for":["Claude users wanting web search without tool-calling boilerplate","Teams building MCP-compatible applications","Claude desktop users needing web search capabilities","Applications using Claude API with MCP support"],"limitations":["MCP server implementation details not documented","Difference between Exa MCP and Websets MCP not explained","Compatibility with non-Claude MCP clients unknown","Performance and latency characteristics of MCP integration not documented","Error handling and retry logic in MCP server not specified"],"requires":["Exa API key","Claude desktop or Claude API with MCP support","MCP server running (local or remote)","Network connectivity between Claude and MCP server"],"input_types":["natural language query from Claude","MCP protocol messages"],"output_types":["search results in MCP format","structured data compatible with Claude reasoning","full page content if requested"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__cap_9","uri":"capability://search.retrieval.configurable.latency.profiles.instant.auto.deep","name":"configurable-latency-profiles-instant-auto-deep","description":"Offers three configurable latency profiles for different use cases: Instant (<180ms for real-time agent loops), Auto (~1s for balanced performance), and Deep Search (up to 60s for complex research). Allows developers to trade off latency for result quality and reasoning depth. Instant mode is optimized for agent tool calls with minimal latency overhead.","intents":["Build real-time AI agents that search the web in sub-200ms agent loops","Use balanced search for general-purpose queries with reasonable latency","Perform complex research tasks where 30-60 second latency is acceptable","Optimize agent performance by choosing appropriate latency tier per query"],"best_for":["AI agent developers building real-time conversational systems","Applications with strict latency requirements (<200ms)","Research and analysis tools where latency is less critical","Teams optimizing agent loop performance"],"limitations":["Instant mode (<180ms) may return fewer results or lower quality rankings","Deep Search up to 60s latency unsuitable for real-time applications","Trade-offs between latency and result quality not documented","No documented way to dynamically select latency tier based on query complexity","Pricing differences between latency tiers not specified"],"requires":["Exa API key","Explicit latency profile selection in API request","Application architecture supporting variable latency (especially for Deep Search)"],"input_types":["query string","latency profile selection (instant, auto, deep)","optional result count and filtering parameters"],"output_types":["search results with latency-dependent quality/quantity","full page content","relevance highlights"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"exa-api__headline","uri":"capability://search.retrieval.neural.search.api.for.meaningful.content.retrieval","name":"neural search api for meaningful content retrieval","description":"Exa API is a neural search API that understands meaning beyond keywords, providing full page content retrieval and similarity search, making it ideal for AI agents needing specific content.","intents":["best neural search API","neural search API for content retrieval","top APIs for similarity search","AI agents content search solutions","best API for meaningful search results"],"best_for":["AI agents","content-heavy applications"],"limitations":[],"requires":["API key"],"input_types":["search queries"],"output_types":["full page content"],"categories":["search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["Exa API key (free tier available, no credit card required)","Python 3.7+ or Node.js 14+ for official SDKs","Network connectivity for real-time web access","Integration with OpenAI SDK, Anthropic SDK, or direct HTTP client","Exa API key with Deep Search access","Acceptance of 30-60 second latency in application design","Python 3.7+ or Node.js 14+ SDK, or direct HTTP client","Budget for higher per-request costs ($12-15 per 1k requests)","Exa API key","Knowledge of target domains for filtering"],"failure_modes":["Instant search (<180ms) limited to lower result counts; Deep Search up to 60s for complex queries","No documented maximum query length or token limits per request","Geographic coverage and regional availability not documented","Semantic ranking quality depends on query clarity; ambiguous queries may return less relevant results","Free tier limited to 1,000 requests/month across all products combined","Latency up to 60 seconds makes it unsuitable for real-time agent loops or user-facing chat","Pricing higher than standard search ($12-15 per 1k requests vs $7 for standard search)","Exact reasoning mechanism and multi-step process not documented","No control over number of reasoning steps or depth of analysis","Structured output schema not formally documented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"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=exa-api","compare_url":"https://unfragile.ai/compare?artifact=exa-api"}},"signature":"toaLmtAGLalsBl436wvv1JTeFqGnB5nKn3s9oGzvs3GlUX9eDmiw+qbZ+AXqguNfT+kBNfWye0PwbmlI4Y4GCQ==","signedAt":"2026-06-21T22:03:38.196Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/exa-api","artifact":"https://unfragile.ai/exa-api","verify":"https://unfragile.ai/api/v1/verify?slug=exa-api","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"}}