{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_neevaai","slug":"neevaai","name":"NeevaAI","type":"product","url":"https://neeva.com","page_url":"https://unfragile.ai/neevaai","categories":["research-search"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_neevaai__cap_0","uri":"capability://search.retrieval.privacy.preserving.personalized.web.search","name":"privacy-preserving personalized web search","description":"Delivers search results personalized to user context and preferences without collecting, storing, or selling user behavioral data. Uses on-device context modeling and encrypted preference profiles rather than server-side tracking pixels or third-party data brokers, enabling relevance ranking that improves with user interaction while maintaining zero-knowledge architecture where the search backend cannot correlate queries to user identity.","intents":["I want search results tailored to my interests without Google tracking my every move","I need to search sensitive topics without creating a permanent behavioral profile","I want personalization that respects my privacy instead of exploiting it for ad targeting"],"best_for":["privacy-conscious individual researchers","journalists and activists in surveillance-heavy regions","compliance officers at regulated enterprises avoiding data residency violations"],"limitations":["Personalization depth limited compared to Google because it cannot leverage cross-site behavioral data","Cold-start problem for new users — initial results are generic until sufficient on-device context accumulates","No ability to use third-party data enrichment (credit scores, purchase history, etc.) that competitors leverage for targeting"],"requires":["Modern browser with local storage support (Chrome 90+, Firefox 88+, Safari 14+)","JavaScript enabled for client-side preference modeling","Stable internet connection for real-time query processing"],"input_types":["natural language queries","search filters (date range, content type, language)"],"output_types":["ranked search results with snippets","structured metadata (source, publication date, relevance score)"],"categories":["search-retrieval","privacy-first"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_1","uri":"capability://search.retrieval.enterprise.data.warehouse.search.integration.with.snowflake","name":"enterprise data warehouse search integration with snowflake","description":"Enables unified search across both public web results and proprietary data stored in Snowflake data warehouses through federated query execution and result ranking. Implements secure OAuth2-based authentication to Snowflake instances, translates natural language queries into SQL via LLM-based query generation, executes queries against customer-controlled warehouse infrastructure, and merges results with web search rankings using a unified relevance model that weights internal data higher for enterprise-specific queries.","intents":["I need to search our company's customer database and product catalog alongside public market research in a single query","I want to find internal documents, analytics, and public information without switching between tools","I need to ensure proprietary data never leaves our Snowflake instance while still getting AI-powered search"],"best_for":["enterprise data teams needing unified search across internal and external data","compliance-sensitive organizations (finance, healthcare) that cannot send proprietary data to third-party search engines","business intelligence teams building self-service analytics interfaces"],"limitations":["Requires Snowflake account with appropriate compute resources — queries against large datasets may incur significant warehouse costs","Natural language to SQL translation is probabilistic — complex queries with domain-specific terminology may require manual refinement","No support for real-time streaming data — only works with data already persisted in Snowflake tables","Schema discovery and query optimization require explicit configuration; automatic schema inference is limited"],"requires":["Snowflake account with ACCOUNTADMIN or equivalent role for initial OAuth setup","Snowflake warehouse with minimum 1 credit/hour compute capacity","Network connectivity from NeevaAI infrastructure to Snowflake (IP whitelisting may be required)","Data in Snowflake must be in standard SQL-queryable format (not semi-structured JSON without schema)"],"input_types":["natural language queries","structured filters (date ranges, column constraints)"],"output_types":["merged result set with web results and Snowflake rows","structured data with source attribution (web vs internal)","query execution metadata (warehouse cost, execution time)"],"categories":["search-retrieval","tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_2","uri":"capability://automation.workflow.ad.free.search.monetization.through.subscription","name":"ad-free search monetization through subscription","description":"Operates a freemium subscription model where core search functionality is free but premium features (advanced filters, saved searches, API access, priority processing) are gated behind a paid tier. Unlike ad-supported search engines, revenue comes entirely from user subscriptions rather than advertiser data sales, eliminating the conflict of interest between user interests and advertiser interests. The business model is enforced through feature-level access control and usage quotas rather than data monetization.","intents":["I want to use a search engine that doesn't sell my data to advertisers","I'm willing to pay for search if it means better privacy and no tracking","I need advanced search features (API access, bulk queries) without ads cluttering results"],"best_for":["individual users with strong privacy preferences and disposable income","enterprises with compliance requirements that prohibit ad-supported tools","developers building search-dependent applications who need API access"],"limitations":["Freemium conversion rates remain low — most users expect search to be free, making customer acquisition expensive","Premium feature set is limited compared to free tier, reducing willingness to upgrade","Pricing strategy has not achieved mainstream adoption — unclear if subscription model can scale to compete with ad-supported incumbents","No clear path to profitability at current user base size; requires either significant price increases or user growth"],"requires":["Valid payment method (credit card, PayPal) for premium tier","Account creation with email verification","Acceptance of subscription terms and auto-renewal policies"],"input_types":["subscription tier selection","payment information"],"output_types":["subscription confirmation","API credentials (for premium tier)","usage analytics dashboard"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_3","uri":"capability://search.retrieval.curated.search.index.with.quality.filtering","name":"curated search index with quality filtering","description":"Maintains a smaller but higher-quality search index compared to Google by applying editorial curation and content quality filters that reduce spam, misinformation, and low-value results. Uses a combination of automated quality signals (domain authority, content freshness, engagement metrics) and human editorial review to exclude low-quality sources, resulting in a smaller index (~10% of Google's size) but with higher average result quality and relevance. This approach trades comprehensiveness for precision.","intents":["I want search results that are actually useful instead of filled with spam and SEO-optimized junk","I need to find authoritative sources without wading through clickbait and low-quality content","I prefer a smaller set of high-quality results over a massive list of mediocre matches"],"best_for":["researchers and academics who value source quality over result quantity","professionals in regulated industries requiring authoritative sources","users frustrated with Google's spam and low-quality result proliferation"],"limitations":["Significantly smaller index means niche queries may return no results or very few options","Emerging topics and new sources take longer to be indexed due to editorial review process","Bias risk: editorial curation introduces subjective quality judgments that may exclude valid but unconventional sources","Cannot compete with Google on comprehensiveness — users searching for obscure topics will find fewer results"],"requires":["Acceptance that not all queries will return results (vs Google's 'something is better than nothing' approach)","Willingness to refine queries if initial results are sparse"],"input_types":["natural language queries"],"output_types":["curated search results with quality metadata","source authority scores","editorial quality indicators"],"categories":["search-retrieval","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_4","uri":"capability://safety.moderation.transparent.data.handling.and.privacy.policy.enforcement","name":"transparent data handling and privacy policy enforcement","description":"Implements technical and organizational controls to enforce transparent data handling practices, including explicit user consent for any data collection, no third-party data sharing, and regular privacy audits. Uses privacy-by-design principles where data minimization is enforced at the architecture level (e.g., queries are not logged to user profiles, search history is stored locally by default, no cookies for tracking). Provides users with downloadable data exports and deletion capabilities that are enforced through database-level constraints rather than soft-delete practices.","intents":["I want to verify that a search engine actually follows its privacy claims, not just marketing","I need to download my data or delete my account with confidence it's actually gone","I want to use a search engine that doesn't have hidden data-sharing agreements with advertisers"],"best_for":["privacy advocates and security researchers auditing search engine practices","compliance officers at regulated enterprises (GDPR, HIPAA, SOC 2)","users in jurisdictions with strong data protection laws (EU, California)"],"limitations":["Transparency creates competitive disadvantage — competitors can hide data practices behind legal language","Regular audits are expensive and time-consuming, limiting how frequently they can be conducted","No guarantee that third-party infrastructure providers (CDNs, cloud providers) follow the same privacy standards","Users must actively opt-in to privacy features; default behavior may still collect some data for service improvement"],"requires":["Account creation to access privacy controls","Email verification for data deletion requests","Compliance with GDPR/CCPA data subject rights procedures"],"input_types":["data export requests","deletion requests","privacy preference settings"],"output_types":["downloadable data exports (JSON, CSV)","deletion confirmation receipts","privacy audit reports","data handling transparency reports"],"categories":["safety-moderation","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_5","uri":"capability://search.retrieval.context.aware.result.ranking.with.semantic.understanding","name":"context-aware result ranking with semantic understanding","description":"Ranks search results using semantic understanding of query intent and document relevance rather than purely link-based signals (PageRank). Uses transformer-based language models to encode both queries and documents into semantic vector space, then ranks results by cosine similarity to the query embedding, combined with traditional signals (domain authority, freshness, engagement). This approach enables understanding of synonyms, implicit intent, and semantic relationships that keyword-matching approaches miss, improving relevance especially for natural language queries.","intents":["I want search results that understand what I'm really looking for, not just keyword matches","I need results for queries with multiple valid interpretations to show the most relevant interpretation","I want to search using natural language without having to guess the exact keywords"],"best_for":["users asking complex, multi-part questions","researchers exploring topics where terminology varies","non-expert users who don't know the technical terminology for what they're searching"],"limitations":["Semantic ranking is computationally expensive — adds latency to query processing compared to keyword-based ranking","Embedding models have knowledge cutoff dates; cannot understand very recent events or emerging terminology","Semantic similarity can be brittle — small changes in query wording may produce different embeddings and rankings","Requires maintaining and updating embedding models, adding operational complexity"],"requires":["Modern browser with JavaScript support for client-side query processing","Sufficient server-side compute for embedding generation (adds ~100-500ms per query)"],"input_types":["natural language queries","multi-part questions"],"output_types":["semantically-ranked search results","relevance scores based on semantic similarity","query intent classification"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_6","uri":"capability://tool.use.integration.api.based.programmatic.search.access.with.quota.management","name":"api-based programmatic search access with quota management","description":"Provides REST API endpoints for programmatic search access, enabling developers to integrate NeevaAI search into applications, scripts, and workflows. Implements OAuth2-based authentication, rate limiting with configurable quotas, and structured JSON responses containing ranked results, metadata, and relevance scores. Premium tier users receive higher quotas and access to advanced parameters (custom ranking weights, result filtering, batch query support). Quota management is enforced through token-bucket algorithms with per-user and per-application limits.","intents":["I want to integrate privacy-respecting search into my application without using Google's API","I need to build a custom search interface that uses NeevaAI as the backend","I want to automate search tasks (bulk queries, scheduled searches) programmatically"],"best_for":["developers building search-dependent applications","enterprises building internal search tools","researchers conducting large-scale search studies"],"limitations":["API quotas are restrictive compared to Google Search API, limiting high-volume use cases","No support for advanced search operators or complex query syntax — limited to natural language","Batch query support is limited to premium tier, making bulk operations expensive","API documentation and SDK support are minimal compared to Google or Bing"],"requires":["API key (obtained through account settings)","OAuth2 client credentials for server-to-server authentication","Premium subscription for high-quota access","Compliance with API terms of service (no scraping, no reselling results)"],"input_types":["query string (natural language)","optional parameters (language, region, result count, filters)"],"output_types":["JSON response with ranked results","result metadata (title, snippet, URL, source, relevance score)","query execution metadata (processing time, quota usage)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_neevaai__cap_7","uri":"capability://memory.knowledge.local.search.history.and.saved.searches.with.client.side.encryption","name":"local search history and saved searches with client-side encryption","description":"Stores user search history and saved searches locally on the user's device by default, with optional server-side sync using end-to-end encryption. Search history is not sent to NeevaAI servers unless explicitly enabled for sync, and when synced, is encrypted with a user-controlled key that the server cannot decrypt. Enables features like search suggestions, saved search collections, and search analytics without requiring the server to have access to plaintext search history. Users can export, delete, or clear history at any time with immediate effect.","intents":["I want to save my searches and search history without a company tracking what I search for","I need search suggestions based on my history without giving up privacy","I want to sync my searches across devices without the server seeing my search patterns"],"best_for":["privacy-conscious users who want search suggestions without surveillance","users in sensitive professions (lawyers, doctors, journalists) who cannot afford search history leaks","users in jurisdictions with strict data protection laws"],"limitations":["Local-only storage means search history is lost if the user clears browser data or switches devices without explicit sync","Client-side encryption adds complexity — users must manage encryption keys or trust the key derivation process","Search suggestions are less personalized when history is not synced to the server","No ability to search across devices unless sync is explicitly enabled"],"requires":["Modern browser with localStorage or IndexedDB support","JavaScript enabled for client-side encryption","Optional: account creation for cross-device sync"],"input_types":["search queries (automatically captured)","save/bookmark actions"],"output_types":["local search history (JSON)","saved search collections","search suggestions based on local history","encrypted sync payloads (if sync enabled)"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Modern browser with local storage support (Chrome 90+, Firefox 88+, Safari 14+)","JavaScript enabled for client-side preference modeling","Stable internet connection for real-time query processing","Snowflake account with ACCOUNTADMIN or equivalent role for initial OAuth setup","Snowflake warehouse with minimum 1 credit/hour compute capacity","Network connectivity from NeevaAI infrastructure to Snowflake (IP whitelisting may be required)","Data in Snowflake must be in standard SQL-queryable format (not semi-structured JSON without schema)","Valid payment method (credit card, PayPal) for premium tier","Account creation with email verification","Acceptance of subscription terms and auto-renewal policies"],"failure_modes":["Personalization depth limited compared to Google because it cannot leverage cross-site behavioral data","Cold-start problem for new users — initial results are generic until sufficient on-device context accumulates","No ability to use third-party data enrichment (credit scores, purchase history, etc.) that competitors leverage for targeting","Requires Snowflake account with appropriate compute resources — queries against large datasets may incur significant warehouse costs","Natural language to SQL translation is probabilistic — complex queries with domain-specific terminology may require manual refinement","No support for real-time streaming data — only works with data already persisted in Snowflake tables","Schema discovery and query optimization require explicit configuration; automatic schema inference is limited","Freemium conversion rates remain low — most users expect search to be free, making customer acquisition expensive","Premium feature set is limited compared to free tier, reducing willingness to upgrade","Pricing strategy has not achieved mainstream adoption — unclear if subscription model can scale to compete with ad-supported incumbents","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":0.75,"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":"2026-05-24T12:16:31.858Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=neevaai","compare_url":"https://unfragile.ai/compare?artifact=neevaai"}},"signature":"XpEfH2kYgSBTxuudJlc5NBHKB2ha6oLq0eGOeP6TrGqbzA07tDcpfkNwk9Fc9EUoEicbF+ezruJwTTJxQVExDQ==","signedAt":"2026-06-21T03:47:20.321Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/neevaai","artifact":"https://unfragile.ai/neevaai","verify":"https://unfragile.ai/api/v1/verify?slug=neevaai","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"}}