{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_desearch","slug":"desearch","name":"Desearch","type":"webapp","url":"https://desearch.ai","page_url":"https://unfragile.ai/desearch","categories":["research-search"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_desearch__cap_0","uri":"capability://search.retrieval.real.time.decentralized.twitter.x.indexing.and.search","name":"real-time decentralized twitter/x indexing and search","description":"Indexes tweets and X posts in real-time across a decentralized network of nodes rather than a centralized server, enabling sub-minute freshness for social media content. Uses distributed crawlers and peer-to-peer data propagation to capture emerging trends and breaking news before traditional search engines. The decentralized architecture means no single entity controls the index, reducing censorship vectors but introducing eventual consistency tradeoffs.","intents":["Find breaking news and trending topics on Twitter/X within minutes of posting","Track real-time sentiment and conversation around specific hashtags or accounts","Research emerging memes, viral content, and social movements as they develop","Monitor competitor or influencer activity with minimal latency"],"best_for":["Journalists and news researchers needing sub-hour freshness for social media stories","Social media analysts tracking real-time trends and viral moments","Researchers studying information diffusion and online discourse","Privacy-conscious users avoiding centralized search engine tracking"],"limitations":["Decentralized indexing introduces eventual consistency — not all tweets indexed uniformly across network nodes, causing result variance between queries","No sophisticated ranking algorithm like PageRank; results ordered by recency or basic relevance signals, leading to noise in high-volume topics","Smaller network of indexing nodes means lower coverage of niche accounts or protected tweets compared to Twitter's native search","Real-time indexing captures all content including spam, bot tweets, and low-quality posts without robust filtering"],"requires":["Active internet connection with reasonable bandwidth for peer-to-peer communication","Web browser or API client supporting HTTP/WebSocket protocols","No authentication required for basic free tier searches"],"input_types":["text query (keywords, hashtags, @mentions)","date range filters","account/user filters"],"output_types":["tweet results with metadata (author, timestamp, engagement metrics)","structured JSON with tweet content and source information"],"categories":["search-retrieval","decentralized-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_1","uri":"capability://search.retrieval.decentralized.web.page.crawling.and.indexing","name":"decentralized web page crawling and indexing","description":"Crawls and indexes general web pages through a distributed network of nodes rather than centralized data centers, building a searchable index of web content with transparent sourcing. Uses decentralized crawler coordination to avoid duplicate work and maintain freshness across the indexed web. The distributed approach trades off comprehensive coverage (smaller index than Google) for transparency and reduced single-point-of-failure risk.","intents":["Search the web without relying on Google's centralized infrastructure and ranking algorithms","Find alternative perspectives and niche content that may be deprioritized by mainstream search engines","Research with transparency about data sourcing and indexing methodology","Access web search without contributing to centralized data collection"],"best_for":["Researchers prioritizing decentralization and transparency over comprehensive coverage","Users seeking alternatives to Google for privacy or ideological reasons","Niche researchers in specialized domains with smaller but dedicated communities","Developers building search-dependent applications on decentralized infrastructure"],"limitations":["Index coverage significantly smaller than Google — niche topics and obscure pages may not be indexed at all","Crawling coordination across decentralized nodes is slower and less efficient than centralized crawlers, resulting in stale content (days to weeks old vs hours for Google)","No sophisticated ranking algorithms; results lack the relevance ordering of PageRank-based systems, requiring users to manually filter results","Decentralized nodes may have inconsistent crawl policies, leading to gaps in coverage for sites with robots.txt or rate-limiting"],"requires":["Active internet connection","Web browser or API client","No special authentication for basic search"],"input_types":["text query (keywords, phrases)","domain filters","content type filters (if supported)"],"output_types":["web page results with title, URL, snippet","structured metadata including crawl timestamp and source node information"],"categories":["search-retrieval","decentralized-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_2","uri":"capability://tool.use.integration.freemium.search.access.with.usage.based.premium.tier","name":"freemium search access with usage-based premium tier","description":"Provides free access to basic search queries with rate limits, while premium tiers unlock higher query volumes, advanced filtering, and API access. The freemium model is implemented through quota management on the client or server side, tracking usage per user/IP and enforcing limits. Premium features likely include batch search, custom result formatting, and direct API endpoints for programmatic access.","intents":["Explore and test Desearch's capabilities without financial commitment","Perform casual research queries without hitting rate limits","Scale research operations with higher query quotas and API access","Integrate Desearch search into custom applications or workflows"],"best_for":["Individual researchers and journalists testing the platform","Casual users performing occasional trend research","Teams and organizations needing higher query volumes and API integration","Developers building search-dependent applications"],"limitations":["Free tier likely has strict rate limits (exact limits not specified in available data) that may be insufficient for high-volume research","Premium pricing model and tier structure unknown — cost-benefit analysis impossible without pricing details","No information on quota reset frequency (daily, monthly, etc.) or overage handling","Free tier may have feature restrictions (e.g., no API access, limited filtering options) not detailed in available documentation"],"requires":["User account (may be optional for free tier)","Email address for account creation (if required)","No credit card required for free tier access"],"input_types":["search queries","user account credentials (for premium)"],"output_types":["search results","usage statistics and quota information"],"categories":["tool-use-integration","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_3","uri":"capability://safety.moderation.privacy.preserving.decentralized.search.without.centralized.tracking","name":"privacy-preserving decentralized search without centralized tracking","description":"Implements search without centralized data collection or user profiling by distributing queries across decentralized nodes and avoiding persistent user tracking. Queries are processed by multiple nodes in the network, reducing the ability of any single entity to correlate search history with user identity. The architecture avoids centralized logging of search queries and user behavior, contrasting with Google's comprehensive tracking infrastructure.","intents":["Perform sensitive research without centralized tracking or profiling","Search without contributing personal data to corporate surveillance infrastructure","Maintain research privacy for journalists, activists, and vulnerable populations","Audit search infrastructure for privacy guarantees and data handling"],"best_for":["Journalists researching sensitive topics","Activists and dissidents in restrictive regimes","Privacy-conscious researchers and academics","Organizations with data protection compliance requirements (GDPR, etc.)"],"limitations":["Privacy guarantees depend on decentralized network security — no formal privacy audit or third-party verification mentioned","Decentralized nodes may still log queries locally; privacy depends on node operator policies, not architectural guarantees","IP address and network metadata may still be visible to network nodes, enabling partial user identification","No end-to-end encryption mentioned; queries may be visible to intermediate network nodes in plaintext","Decentralized architecture makes privacy auditing and compliance verification more difficult than centralized systems"],"requires":["Active internet connection","Web browser or API client","Trust in decentralized network operators (no formal privacy certification)"],"input_types":["search queries"],"output_types":["search results"],"categories":["safety-moderation","decentralized-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_4","uri":"capability://safety.moderation.censorship.resistant.decentralized.search.without.single.point.of.control","name":"censorship-resistant decentralized search without single point of control","description":"Implements search through a decentralized network where no single entity controls content removal or ranking manipulation, making it resistant to censorship or algorithmic suppression. Content removal requires coordination across multiple network nodes rather than a single corporate decision, and ranking is transparent rather than proprietary. The distributed architecture means governments or corporations cannot unilaterally suppress search results.","intents":["Research topics that may be suppressed or deprioritized by centralized search engines","Access information in regions with censorship or content filtering","Verify that search results are not being algorithmically manipulated by a single entity","Build search-dependent applications resistant to corporate or government content control"],"best_for":["Researchers in regions with internet censorship","Journalists investigating suppressed topics","Activists and dissidents seeking uncensored information access","Developers building censorship-resistant applications"],"limitations":["Decentralized consensus on content removal is slower and less effective than centralized moderation, potentially allowing harmful content (misinformation, illegal material) to persist","No mention of content moderation policies or mechanisms for handling illegal content, creating legal liability risks","Decentralized ranking is transparent but unsophisticated, making it easier for bad actors to game results through coordinated node manipulation","Network-level censorship (ISP blocking, DNS filtering) can still block access to decentralized nodes, limiting effectiveness in heavily censored regions","Smaller network means less content availability overall, reducing practical utility compared to centralized alternatives"],"requires":["Active internet connection (may require VPN in censored regions)","Web browser or API client","No special authentication"],"input_types":["search queries"],"output_types":["search results"],"categories":["safety-moderation","decentralized-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_5","uri":"capability://search.retrieval.transparent.decentralized.ranking.and.result.ordering","name":"transparent decentralized ranking and result ordering","description":"Implements search result ranking through transparent, decentralized algorithms rather than proprietary centralized ranking (like Google's PageRank). Ranking signals are visible to users and developers, and the algorithm is not controlled by a single entity. The approach trades off ranking quality for transparency — results are ordered by simpler signals (recency, keyword frequency, basic link analysis) that are understandable but less sophisticated than machine-learned centralized ranking.","intents":["Understand why search results are ranked in a particular order","Audit search ranking for bias or manipulation","Build custom ranking logic on top of transparent ranking signals","Verify that search results are not being algorithmically suppressed or promoted"],"best_for":["Researchers studying search ranking and algorithmic bias","Developers building custom search applications with transparent ranking","Users skeptical of proprietary search algorithms","Organizations requiring auditable and explainable search results"],"limitations":["Transparent ranking algorithms are typically simpler and less effective than machine-learned centralized ranking, resulting in lower-quality results","Decentralized ranking signals may be inconsistent across network nodes due to eventual consistency, causing result variance","Transparent algorithms are easier to game through coordinated manipulation (link farms, keyword stuffing) compared to machine-learned models","No mention of how ranking handles spam, low-quality content, or misinformation — transparent ranking may amplify these issues","Users must understand ranking signals to effectively evaluate result quality, creating higher cognitive load than opaque but effective centralized ranking"],"requires":["Web browser or API client","Understanding of basic ranking signals (recency, keyword frequency, links)"],"input_types":["search queries"],"output_types":["search results with ranking signal metadata","structured data showing ranking factors"],"categories":["search-retrieval","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_6","uri":"capability://search.retrieval.multi.source.result.aggregation.from.decentralized.index","name":"multi-source result aggregation from decentralized index","description":"Aggregates search results from multiple decentralized index nodes and sources (Twitter/X, web pages, potentially other sources) into a unified result set. The aggregation layer queries multiple nodes in parallel, deduplicates results, and merges metadata from different sources. This enables cross-source search (e.g., finding both tweets and web articles about a topic) while maintaining decentralized architecture.","intents":["Search across Twitter/X and web content simultaneously in a single query","Find correlated information across multiple sources (e.g., tweets about a news story and the original article)","Aggregate results from decentralized nodes without querying each node individually","Build unified search interfaces that combine multiple data sources"],"best_for":["Researchers needing cross-source context (social media + news + web)","Journalists tracking story development across multiple platforms","Analysts studying information diffusion across sources","Developers building multi-source search applications"],"limitations":["Aggregation latency increases with number of sources — queries must wait for slowest node, potentially adding 500ms-2s per query","Deduplication across sources is imperfect — same content from different sources may appear multiple times","Result ranking across heterogeneous sources (tweets vs web pages) is difficult — no clear signal for relative importance","Eventual consistency across decentralized nodes means aggregated results may be incomplete or inconsistent between queries","No information on how aggregation handles source-specific metadata or formatting differences"],"requires":["Web browser or API client supporting multi-source queries","Active internet connection with sufficient bandwidth for parallel queries"],"input_types":["search queries","source filters (Twitter, web, etc.)"],"output_types":["aggregated results from multiple sources","structured data with source attribution"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_desearch__cap_7","uri":"capability://search.retrieval.real.time.trend.detection.and.emerging.topic.identification","name":"real-time trend detection and emerging topic identification","description":"Analyzes real-time Twitter/X data to identify emerging trends, viral topics, and breaking news before they reach mainstream media. Uses statistical analysis of tweet volume, velocity, and engagement to detect anomalies and trending patterns. The real-time indexing enables detection of trends within minutes of emergence, providing early-warning signals for journalists and researchers.","intents":["Identify emerging trends and viral topics in real-time","Detect breaking news on Twitter before mainstream media coverage","Track topic velocity and engagement growth to predict viral potential","Monitor emerging conversations around specific keywords or accounts"],"best_for":["Social media analysts and trend researchers","Journalists tracking breaking news and emerging stories","Marketing teams monitoring brand mentions and campaign performance","Researchers studying information diffusion and viral dynamics"],"limitations":["Trend detection is based on volume and velocity signals — no semantic understanding of topic importance or accuracy","Real-time detection captures noise and spam trends alongside genuine emerging topics, requiring manual filtering","No mention of how trends are ranked or filtered — unclear if trending topics are ranked by volume, velocity, or other signals","Decentralized indexing may miss early trend signals from accounts with low follower counts or niche communities","No information on trend persistence or how trends are tracked over time"],"requires":["Active internet connection for real-time data","Web browser or API client"],"input_types":["keyword or topic filters","time window specifications"],"output_types":["trending topics with volume and velocity metrics","structured data with trend metadata"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Active internet connection with reasonable bandwidth for peer-to-peer communication","Web browser or API client supporting HTTP/WebSocket protocols","No authentication required for basic free tier searches","Active internet connection","Web browser or API client","No special authentication for basic search","User account (may be optional for free tier)","Email address for account creation (if required)","No credit card required for free tier access","Trust in decentralized network operators (no formal privacy certification)"],"failure_modes":["Decentralized indexing introduces eventual consistency — not all tweets indexed uniformly across network nodes, causing result variance between queries","No sophisticated ranking algorithm like PageRank; results ordered by recency or basic relevance signals, leading to noise in high-volume topics","Smaller network of indexing nodes means lower coverage of niche accounts or protected tweets compared to Twitter's native search","Real-time indexing captures all content including spam, bot tweets, and low-quality posts without robust filtering","Index coverage significantly smaller than Google — niche topics and obscure pages may not be indexed at all","Crawling coordination across decentralized nodes is slower and less efficient than centralized crawlers, resulting in stale content (days to weeks old vs hours for Google)","No sophisticated ranking algorithms; results lack the relevance ordering of PageRank-based systems, requiring users to manually filter results","Decentralized nodes may have inconsistent crawl policies, leading to gaps in coverage for sites with robots.txt or rate-limiting","Free tier likely has strict rate limits (exact limits not specified in available data) that may be insufficient for high-volume research","Premium pricing model and tier structure unknown — cost-benefit analysis impossible without pricing details","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:30.283Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=desearch","compare_url":"https://unfragile.ai/compare?artifact=desearch"}},"signature":"SohmtophiZ9vYR7wXm1icZiQNq01URYB1Je7iUPkE+QEWdJ7IHelqE0AMIWbkTqaJ3W+pJHLot4w+vGm17XdCQ==","signedAt":"2026-06-22T05:09:32.643Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/desearch","artifact":"https://unfragile.ai/desearch","verify":"https://unfragile.ai/api/v1/verify?slug=desearch","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"}}