{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_spoke-ai","slug":"spoke-ai","name":"Spoke.ai","type":"product","url":"https://www.spoke.ai","page_url":"https://unfragile.ai/spoke-ai","categories":["app-builders"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_spoke-ai__cap_0","uri":"capability://text.generation.language.ai.assisted.message.response.generation","name":"ai-assisted message response generation","description":"Generates contextually appropriate response suggestions for incoming messages using language models, analyzing message content and conversation history to propose replies that match tone and intent. The system appears to use prompt engineering with conversation context to produce suggestions without requiring manual template configuration, enabling support agents to respond faster by selecting or editing AI-generated options rather than composing from scratch.","intents":["I want to reduce time spent drafting customer support responses by getting AI suggestions I can quickly approve or edit","I need to maintain consistent tone and professionalism across team responses without extensive training","I want to handle message backlogs faster by using AI to draft initial responses for review"],"best_for":["lean customer support teams with 2-10 agents handling high message volume","small businesses managing customer inquiries across multiple channels","bootstrapped startups without budget for dedicated support infrastructure"],"limitations":["No fine-tuning on company-specific knowledge or brand voice — suggestions may require significant editing for specialized domains","Unclear whether responses are generated per-message or batch-processed, potentially affecting latency in high-volume scenarios","No explicit control over response tone, length, or style parameters — one-size-fits-all approach may not suit all use cases"],"requires":["Active Spoke.ai account with messaging module enabled","Incoming messages from supported channels (unclear which channels are supported)","Sufficient conversation history for context (minimum message count unknown)"],"input_types":["text messages","conversation history/thread context"],"output_types":["text suggestions","ranked response options"],"categories":["text-generation-language","customer-support"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_1","uri":"capability://data.processing.analysis.smart.message.categorization.and.routing","name":"smart message categorization and routing","description":"Automatically classifies incoming messages into predefined or learned categories (e.g., billing, technical support, general inquiry) using text classification models, then routes messages to appropriate team members or queues based on category. The system likely uses intent detection and keyword matching combined with ML classification to assign messages without manual triage, reducing time spent on message sorting and enabling skill-based routing.","intents":["I want incoming messages automatically sorted by type so the right team member handles each inquiry","I need to reduce time spent manually triaging messages before they reach support agents","I want to track which types of messages are most common to identify support gaps"],"best_for":["small support teams (2-15 people) with distinct support specialties","businesses handling mixed inquiry types (sales, support, billing) from one inbox","teams wanting to measure support volume by category without manual tagging"],"limitations":["No visibility into classification accuracy or false-positive rates — unclear how often messages are miscategorized","Categories appear to be predefined rather than dynamically learned from team behavior, limiting adaptation to new inquiry types","No explicit feedback loop mentioned — unclear if agents can correct misclassifications to improve future routing"],"requires":["Active Spoke.ai account with categorization module enabled","Predefined message categories configured in workspace settings","Minimum message volume to train classification model (threshold unknown)"],"input_types":["text messages","message metadata (sender, channel)"],"output_types":["category labels","routing assignments","category statistics/reports"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_2","uri":"capability://tool.use.integration.unified.multi.channel.message.inbox","name":"unified multi-channel message inbox","description":"Aggregates messages from multiple communication channels (email, chat, social media, web forms — specific channels unclear) into a single unified inbox interface, allowing agents to view and respond to all conversations in one place without switching between platforms. Uses channel-specific adapters or webhooks to pull messages into a centralized database, then presents them with channel-aware formatting and response routing back to the original channel.","intents":["I want to manage customer conversations from email, chat, and social media in one inbox instead of checking multiple platforms","I need my team to see all customer interactions in one place to provide better context and avoid duplicate responses","I want to respond to messages on their native channel without manually copying conversations between tools"],"best_for":["small businesses managing customer communication across 2-4 channels","support teams tired of context-switching between email, Slack, and social media","lean teams without budget for dedicated omnichannel platforms like Zendesk or Intercom"],"limitations":["Integration ecosystem is limited compared to market leaders — unclear which channels are supported and which require custom integration","No mention of conversation threading across channels — unclear if email and chat from same customer are linked","Channel-specific features may be stripped or simplified in unified view, reducing functionality for power users of individual platforms"],"requires":["Active Spoke.ai account","Connected accounts for each channel (authentication method varies by channel)","Appropriate API permissions for each integrated channel"],"input_types":["messages from multiple channels","channel metadata (sender, timestamp, platform)"],"output_types":["unified message feed","channel-aware response composition","conversation threads"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_3","uri":"capability://automation.workflow.real.time.team.collaboration.and.presence","name":"real-time team collaboration and presence","description":"Displays team member online status, typing indicators, and availability in real-time, enabling agents to see who is available to handle messages or collaborate on responses. Uses WebSocket connections or polling to maintain live presence state across the platform, with apparent integration into message composition to show who is currently working on a conversation or available to take over.","intents":["I want to know which team members are online before assigning them a message","I need to see if a colleague is typing a response so I don't duplicate effort","I want to hand off a conversation to an available team member without guessing who's online"],"best_for":["small distributed teams (2-20 people) needing lightweight presence awareness","support teams wanting to avoid duplicate responses on shared messages","organizations with flexible work schedules needing real-time availability visibility"],"limitations":["Presence state may have latency or sync issues in poor network conditions — no mention of offline fallback or conflict resolution","Unclear if presence integrates with calendar or status settings from other tools like Slack or Google Workspace","No mention of presence-based automation (e.g., auto-routing to available agents) — appears to be display-only"],"requires":["Active Spoke.ai account with team collaboration enabled","Team members logged into Spoke.ai workspace","Stable internet connection for WebSocket/polling updates"],"input_types":["user login/logout events","typing activity","manual status updates"],"output_types":["presence indicators","typing notifications","availability status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_4","uri":"capability://memory.knowledge.conversation.history.and.context.retrieval","name":"conversation history and context retrieval","description":"Stores and retrieves full conversation history for each customer or contact, enabling agents to see previous interactions and context when responding to new messages. Uses a centralized message database indexed by customer/contact ID with search capabilities, allowing agents to quickly find relevant past conversations without manual scrolling or external tools. Likely includes basic full-text search and filtering by date or message type.","intents":["I want to see all previous conversations with a customer when they message us again","I need to search for past conversations to find solutions to recurring problems","I want to provide consistent support by understanding a customer's history with us"],"best_for":["support teams handling repeat customers or long-term relationships","businesses needing to maintain context across multiple support interactions","teams wanting to reduce time spent asking customers to repeat information"],"limitations":["No mention of conversation summarization — agents may need to read through long histories to find relevant context","Search capabilities appear basic (full-text only) — no semantic search or AI-powered context matching mentioned","Unclear if conversation history is retained indefinitely or has retention limits, affecting long-term context availability"],"requires":["Active Spoke.ai account with conversation storage enabled","Customer/contact records created in workspace","Messages routed to correct customer profiles for history linking"],"input_types":["customer identifiers","search queries","date ranges"],"output_types":["conversation threads","message history","search results"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_5","uri":"capability://automation.workflow.free.tier.with.no.credit.card.requirement","name":"free tier with no credit card requirement","description":"Provides full access to core messaging and AI features without payment, removing financial barriers for early-stage teams and allowing unlimited usage within fair-use limits. The business model appears to rely on future premium tiers or enterprise features rather than restricting core functionality, enabling teams to evaluate the platform fully before committing to paid plans. No credit card is required to sign up, reducing friction for trial adoption.","intents":["I want to try a communication platform without committing budget or providing payment information","I need a free solution for my small team that doesn't have a support budget yet","I want to evaluate whether this platform works for our use case before paying for it"],"best_for":["bootstrapped startups and solo founders without support budgets","small businesses testing communication tools before scaling","non-profit organizations with limited technology budgets"],"limitations":["Unclear what fair-use limits apply to free tier — potential for unexpected service degradation at scale","No mention of SLA or uptime guarantees on free tier, creating risk for production support workflows","Uncertain long-term viability of free model — platform may introduce paid requirements or shut down, leaving teams without migration path"],"requires":["Email address for account creation","No payment method required"],"input_types":["user registration data"],"output_types":["workspace access","feature activation"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_6","uri":"capability://automation.workflow.lightweight.interface.with.minimal.onboarding","name":"lightweight interface with minimal onboarding","description":"Provides a clean, intuitive user interface designed for quick adoption without extensive training or documentation, using familiar messaging patterns and minimal configuration required to start using core features. The platform appears to prioritize simplicity over feature depth, with straightforward navigation and sensible defaults that allow new users to be productive within minutes rather than hours or days.","intents":["I want to get my team using a new communication tool quickly without spending time on training","I need a platform that doesn't require IT support or extensive configuration to set up","I want an interface that feels familiar to my team without a steep learning curve"],"best_for":["non-technical founders and small business owners managing their own tools","teams that have been burned by complex enterprise platforms like Zendesk","organizations prioritizing speed to value over feature completeness"],"limitations":["Simplicity may come at the cost of advanced features or customization options needed by larger teams","Minimal documentation mentioned in cons — users may struggle with edge cases or advanced workflows without support","Unclear if interface is customizable for teams with specific workflow requirements"],"requires":["Web browser with modern JavaScript support","Basic familiarity with messaging interfaces"],"input_types":["user interactions","configuration inputs"],"output_types":["workspace interface","feature access"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_spoke-ai__cap_7","uri":"capability://tool.use.integration.limited.integration.ecosystem","name":"limited integration ecosystem","description":"Supports connections to external tools and platforms through a restricted set of pre-built integrations or APIs, with unclear scope of available integrations compared to market leaders. The platform appears to lack deep integrations with popular tools like Slack, Salesforce, or Zapier, limiting ability to automate workflows that span multiple systems and requiring manual data transfer or custom development for advanced use cases.","intents":["I want to connect Spoke.ai to my existing tools without custom development","I need to automate workflows that span multiple platforms","I want to sync customer data between Spoke.ai and my CRM"],"best_for":["teams with simple tool stacks (email, basic CRM) that don't require extensive integrations","organizations willing to accept manual data transfer or custom development for complex workflows","small businesses not yet dependent on complex automation ecosystems"],"limitations":["Specific integrations available are unclear — no public integration marketplace or documentation visible","No mention of Zapier, Make, or other automation platforms that could extend integration reach","Lack of API documentation or SDK mentioned in cons, making custom integration development difficult","No webhook support mentioned, limiting ability to trigger external actions from Spoke.ai events"],"requires":["Active Spoke.ai account","Accounts with external tools to integrate","API keys or authentication credentials for external platforms"],"input_types":["integration configuration","API credentials"],"output_types":["data sync","workflow automation"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Active Spoke.ai account with messaging module enabled","Incoming messages from supported channels (unclear which channels are supported)","Sufficient conversation history for context (minimum message count unknown)","Active Spoke.ai account with categorization module enabled","Predefined message categories configured in workspace settings","Minimum message volume to train classification model (threshold unknown)","Active Spoke.ai account","Connected accounts for each channel (authentication method varies by channel)","Appropriate API permissions for each integrated channel","Active Spoke.ai account with team collaboration enabled"],"failure_modes":["No fine-tuning on company-specific knowledge or brand voice — suggestions may require significant editing for specialized domains","Unclear whether responses are generated per-message or batch-processed, potentially affecting latency in high-volume scenarios","No explicit control over response tone, length, or style parameters — one-size-fits-all approach may not suit all use cases","No visibility into classification accuracy or false-positive rates — unclear how often messages are miscategorized","Categories appear to be predefined rather than dynamically learned from team behavior, limiting adaptation to new inquiry types","No explicit feedback loop mentioned — unclear if agents can correct misclassifications to improve future routing","Integration ecosystem is limited compared to market leaders — unclear which channels are supported and which require custom integration","No mention of conversation threading across channels — unclear if email and chat from same customer are linked","Channel-specific features may be stripped or simplified in unified view, reducing functionality for power users of individual platforms","Presence state may have latency or sync issues in poor network conditions — no mention of offline fallback or conflict resolution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.25,"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":"2026-05-24T12:16:33.096Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=spoke-ai","compare_url":"https://unfragile.ai/compare?artifact=spoke-ai"}},"signature":"E32fHcFowojroXjmRRmTAB7+msf1dKu/BJM7XFNtOIHax4TfleLPGn3+YNUUfJ+LXl42qT5KhR74QwwDVxNmCw==","signedAt":"2026-06-20T17:30:16.433Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/spoke-ai","artifact":"https://unfragile.ai/spoke-ai","verify":"https://unfragile.ai/api/v1/verify?slug=spoke-ai","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"}}