{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_gurubot","slug":"gurubot","name":"Gurubot","type":"product","url":"https://www.gurubot.ai","page_url":"https://unfragile.ai/gurubot","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_gurubot__cap_0","uri":"capability://text.generation.language.whatsapp.native.conversational.ai.with.message.threading","name":"whatsapp-native conversational ai with message threading","description":"Delivers real-time conversational AI responses directly within WhatsApp's messaging interface by integrating with WhatsApp Business API, maintaining conversation context across message threads without requiring users to switch applications or manage separate chat windows. The system parses incoming WhatsApp messages, routes them through an LLM inference pipeline, and returns responses formatted for WhatsApp's native text rendering, preserving conversation history within the existing thread structure.","intents":["I want to chat with an AI without leaving WhatsApp or opening a web browser","I need instant AI responses integrated into my existing messaging workflow","I want to maintain conversation context within my familiar messaging app"],"best_for":["Mobile-first users with established WhatsApp habits","Teams in regions where WhatsApp is the primary communication platform","Users seeking to reduce app fragmentation and context-switching friction"],"limitations":["Service availability depends entirely on WhatsApp Business API uptime and Meta's platform policies","Message length constraints inherit WhatsApp's 4,096 character limit per message","No native support for rich formatting beyond WhatsApp's emoji and text styling","Conversation history is tied to WhatsApp's message retention policies, not independently persisted"],"requires":["Active WhatsApp account with phone number verification","WhatsApp Business API access (requires Meta business account)","Network connectivity for real-time message delivery"],"input_types":["text messages","emoji","message reactions"],"output_types":["text responses","formatted text with emoji","multi-message sequences"],"categories":["text-generation-language","messaging-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_1","uri":"capability://safety.moderation.end.to.end.encrypted.conversation.storage","name":"end-to-end encrypted conversation storage","description":"Implements encryption for chat messages using WhatsApp's Signal Protocol (E2EE) combined with server-side encryption for conversation metadata and user profiles, ensuring that message content cannot be intercepted or accessed by Gurubot's infrastructure during transmission or storage. The system leverages WhatsApp's native E2EE for message transport and adds application-layer encryption for any data persisted in Gurubot's backend databases, using AES-256 or equivalent symmetric encryption with key derivation from user credentials.","intents":["I want to ensure my AI conversations are private and not logged by the service provider","I need encryption guarantees that prevent the platform from reading my messages","I want privacy assurances comparable to encrypted messaging apps, not cloud-based chatbots"],"best_for":["Privacy-conscious users discussing sensitive topics with AI","Users in jurisdictions with strict data protection regulations (GDPR, CCPA)","Teams handling confidential information who distrust cloud-based AI services"],"limitations":["Encryption claims are not independently audited or published in technical documentation","Metadata (timestamps, user identifiers, conversation frequency) may still be visible to Gurubot infrastructure","WhatsApp's E2EE only protects transport; Gurubot's backend encryption implementation details are undisclosed","No zero-knowledge proof or client-side-only encryption model — server still has access to decryption keys"],"requires":["WhatsApp client with E2EE enabled (default on modern WhatsApp versions)","Trust in Gurubot's encryption implementation (no open-source verification available)"],"input_types":["text messages","user metadata"],"output_types":["encrypted message storage","encrypted metadata"],"categories":["safety-moderation","privacy-security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_2","uri":"capability://text.generation.language.instant.response.generation.with.latency.optimization","name":"instant response generation with latency optimization","description":"Delivers AI responses within WhatsApp's messaging interface with minimal perceived latency by implementing response streaming, local inference caching, and connection pooling to WhatsApp's message delivery API. The system likely uses a pre-warmed inference endpoint or edge-deployed model to reduce round-trip time between message receipt and response generation, with streaming tokens sent incrementally to WhatsApp rather than waiting for full response completion before transmission.","intents":["I want immediate AI responses without waiting for slow API calls","I need conversational pacing that feels natural within a messaging context","I want to avoid the perception of lag that breaks messaging flow"],"best_for":["Users in regions with high-latency internet connections who benefit from edge inference","Conversational use cases where response time directly impacts user satisfaction","Mobile users on variable network conditions who need graceful degradation"],"limitations":["Streaming responses may fragment across multiple WhatsApp messages, reducing readability","Latency optimization likely requires regional inference endpoints, limiting global availability","No documented SLA for response time guarantees; 'instant' is subjective and unverified","Complex reasoning tasks may still incur multi-second delays despite optimization efforts"],"requires":["Stable internet connection (WiFi or 4G/5G)","WhatsApp client capable of receiving rapid message sequences","Gurubot's inference infrastructure in geographic proximity to user"],"input_types":["text messages"],"output_types":["streamed text responses","multi-message response sequences"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_3","uri":"capability://memory.knowledge.persistent.conversation.context.with.multi.turn.memory","name":"persistent conversation context with multi-turn memory","description":"Maintains conversation history and user context across multiple message exchanges by storing conversation threads in a backend database indexed by WhatsApp user ID, enabling the AI to reference previous messages and maintain coherent multi-turn dialogue without requiring users to repeat context. The system likely implements a sliding-window context manager that retrieves relevant prior messages from storage, embeds them with the current query, and passes the combined context to the LLM inference pipeline.","intents":["I want the AI to remember what I said earlier in our conversation","I need context-aware responses that reference previous messages without me repeating information","I want to have natural, flowing conversations that build on prior exchanges"],"best_for":["Users engaging in extended conversations requiring continuity","Scenarios where context accumulation improves response quality (e.g., personalized advice, ongoing projects)","Users who value natural dialogue flow over stateless single-turn interactions"],"limitations":["Context window size is limited by the underlying LLM's token capacity and Gurubot's retrieval strategy","Long conversations may suffer from context degradation as older messages are deprioritized","No documented mechanism for users to explicitly manage or clear conversation history","Context retrieval adds latency; very long conversations may slow response generation","Conversation data is stored server-side, contradicting pure end-to-end encryption claims"],"requires":["Persistent backend database with user conversation indexing","LLM with sufficient context window (typically 4K-128K tokens depending on model)","User account/identity system to associate messages with conversation history"],"input_types":["current text message","prior conversation history"],"output_types":["context-aware text response","references to prior messages"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_4","uri":"capability://automation.workflow.subscription.based.access.control.and.rate.limiting","name":"subscription-based access control and rate limiting","description":"Enforces paid subscription tiers by implementing per-user rate limits, message quotas, and feature gating at the API gateway level, where incoming WhatsApp messages are validated against the user's subscription status before routing to the inference pipeline. The system likely maintains a subscription database indexed by WhatsApp phone number, checks quota consumption (messages per day/month), and returns error messages or upgrade prompts when limits are exceeded, preventing free-tier abuse and monetizing the service.","intents":["I want to offer a paid AI service with usage limits to ensure profitability","I need to prevent free-tier abuse while maintaining a conversion funnel to paid plans","I want to implement tiered pricing with different message quotas per subscription level"],"best_for":["Builders monetizing AI services through subscription models","Teams seeking to control inference costs by limiting usage per user","Platforms targeting users willing to pay for premium AI features"],"limitations":["No free tier or trial period creates adoption friction compared to freemium competitors (ChatGPT, Claude)","Rate limiting may frustrate users with legitimate high-volume needs","Subscription enforcement is opaque to users; no public documentation of quota policies or overage handling","WhatsApp phone number spoofing or account sharing could bypass per-user rate limits"],"requires":["Payment processing integration (Stripe, PayPal, or equivalent)","Subscription database with user-to-plan mapping","API gateway with rate-limiting middleware","Quota tracking and enforcement logic"],"input_types":["WhatsApp user ID","subscription status","message count"],"output_types":["access granted/denied decision","quota remaining","upgrade prompts"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_5","uri":"capability://tool.use.integration.user.identity.and.account.management.via.whatsapp.phone.number","name":"user identity and account management via whatsapp phone number","description":"Establishes user identity and account persistence by using WhatsApp phone numbers as unique identifiers, eliminating the need for separate login credentials or account creation flows. The system maps WhatsApp phone numbers to user profiles stored in a backend database, enabling subscription tracking, conversation history retrieval, and personalization without requiring users to create usernames or passwords, leveraging WhatsApp's built-in phone verification.","intents":["I want to onboard users without friction by using their existing WhatsApp identity","I need to track user accounts and subscription status using a single identifier","I want to avoid managing separate authentication systems"],"best_for":["Mobile-first services targeting WhatsApp-native users","Builders seeking frictionless onboarding without traditional login flows","Teams in regions where WhatsApp phone numbers are reliable identity proxies"],"limitations":["Phone number changes or account transfers break user identity continuity","No support for multi-device or shared account scenarios","Phone number is a weak privacy identifier; users cannot maintain anonymity","Account recovery is tied to WhatsApp account recovery, which may be difficult if phone is lost","No granular permission or role-based access control; all users have identical capabilities"],"requires":["WhatsApp Business API integration with phone number extraction","Backend user database with phone number as primary key","WhatsApp account verification (phone number must be registered with WhatsApp)"],"input_types":["WhatsApp phone number","WhatsApp message metadata"],"output_types":["user profile","subscription status","conversation history"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_gurubot__cap_6","uri":"capability://memory.knowledge.personalized.ai.responses.based.on.user.profile.and.conversation.history","name":"personalized ai responses based on user profile and conversation history","description":"Tailors AI responses to individual users by retrieving their stored profile data (preferences, conversation history, interaction patterns) and injecting this context into the LLM prompt before generation, enabling the AI to provide personalized advice, remember user preferences, and adapt tone or content style based on prior interactions. The system likely implements a user profile store with fields for preferences, interests, and interaction metadata, which is queried and combined with the current message to create a personalized system prompt or context injection.","intents":["I want the AI to remember my preferences and tailor responses to my needs","I want personalized advice that builds on my previous interactions","I want the AI to adapt its tone or style based on how I interact with it"],"best_for":["Users seeking AI companionship that improves over time through personalization","Scenarios where user preferences significantly impact response quality (e.g., language, expertise level, communication style)","Long-term users who benefit from accumulated context and preference learning"],"limitations":["Personalization requires storing user profile data server-side, contradicting privacy claims","No documented mechanism for users to view, edit, or delete their stored profile data","Personalization quality depends on the accuracy of inferred preferences, which may be biased or incorrect","Profile data could be used for manipulation or targeted influence if not properly governed","No opt-out mechanism for personalization; users cannot disable preference tracking"],"requires":["User profile database with preference and interaction metadata","Conversation history retrieval and analysis pipeline","LLM prompt engineering to incorporate profile context","User consent and privacy policy disclosures"],"input_types":["user profile data","conversation history","current message"],"output_types":["personalized text response","adapted tone or style"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Active WhatsApp account with phone number verification","WhatsApp Business API access (requires Meta business account)","Network connectivity for real-time message delivery","WhatsApp client with E2EE enabled (default on modern WhatsApp versions)","Trust in Gurubot's encryption implementation (no open-source verification available)","Stable internet connection (WiFi or 4G/5G)","WhatsApp client capable of receiving rapid message sequences","Gurubot's inference infrastructure in geographic proximity to user","Persistent backend database with user conversation indexing","LLM with sufficient context window (typically 4K-128K tokens depending on model)"],"failure_modes":["Service availability depends entirely on WhatsApp Business API uptime and Meta's platform policies","Message length constraints inherit WhatsApp's 4,096 character limit per message","No native support for rich formatting beyond WhatsApp's emoji and text styling","Conversation history is tied to WhatsApp's message retention policies, not independently persisted","Encryption claims are not independently audited or published in technical documentation","Metadata (timestamps, user identifiers, conversation frequency) may still be visible to Gurubot infrastructure","WhatsApp's E2EE only protects transport; Gurubot's backend encryption implementation details are undisclosed","No zero-knowledge proof or client-side-only encryption model — server still has access to decryption keys","Streaming responses may fragment across multiple WhatsApp messages, reducing readability","Latency optimization likely requires regional inference endpoints, limiting global availability","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:30.893Z","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=gurubot","compare_url":"https://unfragile.ai/compare?artifact=gurubot"}},"signature":"qBX/Fmf5YzHtkwXbiN0LLm3WIUwiHdvumqjmuNm+ak8n4wnBRv8MOSmWSWcM4p+4ZJSk3NZnIvl1HFFcNL7rDg==","signedAt":"2026-06-21T10:43:03.044Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gurubot","artifact":"https://unfragile.ai/gurubot","verify":"https://unfragile.ai/api/v1/verify?slug=gurubot","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"}}