{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_chatworm","slug":"chatworm","name":"Chatworm","type":"product","url":"https://chatworm.com","page_url":"https://unfragile.ai/chatworm","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_chatworm__cap_0","uri":"capability://tool.use.integration.omni.channel.message.routing.and.delivery","name":"omni-channel message routing and delivery","description":"Routes incoming customer messages from multiple platforms (web, WhatsApp, Facebook, SMS, etc.) through a unified processing pipeline that normalizes message format, metadata, and channel context before delivering to a single AI conversation engine. Uses channel-specific adapters that translate platform-native message schemas into an internal canonical format, enabling the same bot logic to handle messages regardless of origin channel.","intents":["Deploy a single chatbot across web, WhatsApp, Facebook, and other channels without building separate integrations for each","Manage customer conversations from multiple messaging platforms in one unified inbox","Reduce engineering overhead by avoiding platform-specific bot implementations"],"best_for":["Small businesses and solopreneurs managing customer support across multiple messaging channels","Teams wanting to test omni-channel customer engagement without dedicated integration engineering"],"limitations":["Free tier likely restricts total message volume per month, forcing upgrades at scale","Channel-specific features (rich media, interactive buttons) may not be fully supported across all platforms","Message delivery guarantees and retry logic not publicly documented — potential for lost messages on free tier"],"requires":["Active accounts on target messaging platforms (WhatsApp Business API, Facebook Page, etc.)","API credentials or webhook configuration for each channel","Internet connectivity for real-time message routing"],"input_types":["text messages","media attachments (images, documents)","structured payloads from messaging platform webhooks"],"output_types":["text responses","formatted messages with platform-specific markup","channel-native interactive elements (buttons, quick replies)"],"categories":["tool-use-integration","omni-channel-messaging"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_1","uri":"capability://text.generation.language.ai.driven.conversational.response.generation","name":"ai-driven conversational response generation","description":"Generates contextually appropriate responses to customer messages using a large language model backend (likely GPT-3.5/4 or similar), with conversation history tracking to maintain context across multi-turn exchanges. The system likely uses prompt engineering or fine-tuning to adapt responses to customer support scenarios, with optional guardrails to prevent off-topic or harmful outputs.","intents":["Automatically respond to customer inquiries without manual agent intervention","Maintain conversation context across multiple message exchanges","Provide natural, human-like responses that reduce customer frustration"],"best_for":["Businesses seeking to reduce customer support costs through automation","Teams without dedicated NLP expertise wanting to deploy conversational AI"],"limitations":["Response quality depends on underlying LLM and training data — no public benchmarks provided","Hallucination risk: model may generate plausible-sounding but factually incorrect answers about products/services","Free tier likely has strict rate limits on API calls, forcing message queuing or delays","No documented fine-tuning capability — responses may not reflect brand voice or domain-specific knowledge"],"requires":["Internet connectivity for real-time LLM inference","API quota or message credits (likely limited on free tier)","Initial bot configuration with conversation flows or training data"],"input_types":["text messages","conversation history (previous messages in thread)","optional customer metadata (name, account status)"],"output_types":["natural language text responses","structured JSON with confidence scores (if available)"],"categories":["text-generation-language","conversational-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_2","uri":"capability://memory.knowledge.conversation.history.and.context.persistence","name":"conversation history and context persistence","description":"Stores and retrieves conversation history for each customer thread, enabling the AI engine to reference previous messages when generating responses. Likely uses a database (SQL or NoSQL) indexed by customer ID and channel to enable fast retrieval of conversation context, with optional conversation summarization to reduce token usage in LLM calls.","intents":["Enable the chatbot to remember what was discussed in previous messages","Provide agents with full conversation history when escalating to human support","Analyze conversation patterns to improve bot responses over time"],"best_for":["Businesses requiring multi-turn conversations that reference prior context","Teams needing audit trails of customer interactions for compliance"],"limitations":["Free tier likely has strict retention limits (e.g., 30 days of history) before data deletion","No documented encryption or data residency options — privacy concerns for regulated industries","Conversation summarization (if implemented) may lose important details, degrading response quality","No API access to export conversation history — vendor lock-in risk"],"requires":["Persistent backend storage (managed by Chatworm)","Customer identification mechanism (user ID, phone number, email)"],"input_types":["conversation messages","customer metadata","timestamp and channel information"],"output_types":["conversation thread (ordered message history)","conversation summary (if implemented)","structured conversation metadata (duration, sentiment, resolution status)"],"categories":["memory-knowledge","data-persistence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_3","uri":"capability://automation.workflow.bot.configuration.and.training.without.code","name":"bot configuration and training without code","description":"Provides a visual interface (likely drag-and-drop or form-based) for non-technical users to configure bot behavior, define conversation flows, and optionally upload training data without writing code. May support intent/entity definition, response templates, and conditional branching logic through a UI rather than requiring prompt engineering or API calls.","intents":["Configure chatbot responses and flows without hiring developers","Customize bot behavior for specific business domains (e.g., e-commerce, support)","Iterate on bot responses based on customer feedback without code deployments"],"best_for":["Non-technical founders and small business owners","Teams without dedicated ML/NLP expertise","Rapid prototyping and MVP validation scenarios"],"limitations":["No-code interface likely limits expressiveness compared to programmatic APIs — complex logic may be impossible","Training data upload mechanism not documented — unclear if custom fine-tuning is supported","Free tier likely restricts number of intents, flows, or training examples","No version control or rollback capability mentioned — risky for production bots"],"requires":["Web browser access to Chatworm dashboard","Basic understanding of conversation design (intents, entities, responses)"],"input_types":["text-based intent definitions","response templates","training examples (if supported)","conditional logic rules"],"output_types":["bot configuration (serialized format, likely JSON)","conversation flow diagrams (if UI supports visualization)"],"categories":["automation-workflow","no-code-configuration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_4","uri":"capability://data.processing.analysis.basic.analytics.and.conversation.metrics","name":"basic analytics and conversation metrics","description":"Tracks and reports on chatbot performance metrics such as message volume, conversation count, average response time, and potentially customer satisfaction signals (e.g., thumbs up/down ratings). Likely aggregates data in a dashboard with filters by time period and channel, but with limited depth compared to enterprise analytics platforms.","intents":["Monitor chatbot usage and performance to justify ROI","Identify high-volume conversation topics to prioritize bot improvements","Track customer satisfaction with bot responses"],"best_for":["Small businesses validating chatbot ROI before scaling","Teams needing basic performance visibility without complex BI tools"],"limitations":["Free tier likely provides only high-level metrics (total messages, conversation count) without detailed breakdowns","No sentiment analysis or intent classification mentioned — limited insight into conversation quality","Analytics retention likely limited on free tier (e.g., 30 days of data)","No API access to export analytics data — difficult to integrate with external BI tools","No A/B testing or experimentation framework mentioned"],"requires":["Active chatbot deployments generating conversation data","Web browser access to Chatworm dashboard"],"input_types":["conversation metadata (timestamps, channels, message counts)","optional customer feedback (ratings, satisfaction signals)"],"output_types":["dashboard visualizations (charts, tables)","metric summaries (total messages, avg response time)","optional CSV/JSON exports (if supported)"],"categories":["data-processing-analysis","analytics-reporting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_5","uri":"capability://automation.workflow.human.agent.handoff.and.escalation","name":"human agent handoff and escalation","description":"Enables seamless escalation from chatbot to human agents when the bot cannot resolve a customer issue. Likely transfers conversation context (history, customer metadata) to a human agent interface, allowing agents to continue the conversation without requiring the customer to repeat information. May support routing rules (e.g., escalate to specific team based on topic) or queue management.","intents":["Escalate complex issues to human agents without losing conversation context","Route escalations to appropriate teams based on issue type or customer segment","Reduce customer frustration by avoiding repeated explanations during handoffs"],"best_for":["Businesses using chatbots as first-line support with human backup","Teams needing to blend automation with human touch for complex issues"],"limitations":["Free tier likely limits number of concurrent agent seats or escalations per month","No documented routing logic or queue management — escalations may go to first available agent","Handoff experience depends on agent interface quality — not documented","No SLA or response time guarantees mentioned for escalated conversations"],"requires":["Human agents with access to Chatworm agent interface","Configuration of escalation triggers (keywords, intent thresholds, etc.)"],"input_types":["conversation history","customer metadata","escalation reason or trigger"],"output_types":["agent notification/queue entry","conversation context in agent interface","optional routing metadata (team assignment, priority)"],"categories":["automation-workflow","escalation-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_6","uri":"capability://tool.use.integration.channel.specific.message.formatting.and.rich.media.support","name":"channel-specific message formatting and rich media support","description":"Adapts bot responses to leverage channel-specific capabilities such as WhatsApp buttons, Facebook Messenger quick replies, web chat rich text formatting, and SMS character limits. Likely uses channel-aware response templates that automatically format text, images, and interactive elements based on the destination platform's capabilities and constraints.","intents":["Send formatted responses that take advantage of each platform's native features","Display images, documents, or interactive elements (buttons, carousels) in channel-native formats","Ensure responses fit within platform constraints (e.g., SMS character limits)"],"best_for":["Businesses wanting to provide rich, interactive customer experiences across channels","Teams leveraging platform-specific features (WhatsApp buttons, Facebook carousels) for engagement"],"limitations":["Rich media support likely limited on free tier — may restrict image/document attachments","Formatting may not be fully consistent across all platforms — fallback to plain text on unsupported channels","No documented support for advanced features like WhatsApp templates or Facebook Messenger handover protocol","Custom formatting rules not supported — limited ability to brand responses per channel"],"requires":["Channel-specific API credentials with media upload permissions","Understanding of each platform's message format constraints"],"input_types":["response templates with platform-agnostic markup","media files (images, documents)","interactive element definitions (buttons, quick replies)"],"output_types":["channel-native formatted messages","platform-specific payloads (JSON for APIs)","fallback plain-text versions for unsupported channels"],"categories":["tool-use-integration","message-formatting"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_chatworm__cap_7","uri":"capability://data.processing.analysis.basic.intent.recognition.and.entity.extraction","name":"basic intent recognition and entity extraction","description":"Identifies customer intent (e.g., 'order status', 'billing question', 'product inquiry') and extracts relevant entities (e.g., order number, product name) from incoming messages using pattern matching, keyword detection, or lightweight NLP. Likely uses pre-defined intent/entity schemas configured during bot setup, with fallback to the LLM for out-of-scope intents.","intents":["Classify customer messages to route to appropriate bot responses or escalation paths","Extract structured data (order numbers, dates, product names) from unstructured text","Improve bot response accuracy by understanding customer intent before generating responses"],"best_for":["Businesses with well-defined customer inquiry types (e.g., e-commerce, support)","Teams wanting to structure bot responses around specific intents"],"limitations":["Intent recognition likely relies on keyword matching or simple NLP — poor performance on paraphrased or ambiguous queries","No documented support for custom entity types — limited to pre-defined schemas","Free tier likely restricts number of intents or training examples","No confidence scores or fallback handling documented — unclear how bot handles low-confidence intents"],"requires":["Pre-defined intent and entity schemas configured during bot setup","Training examples for each intent (if supported)"],"input_types":["customer messages (text)","optional conversation context"],"output_types":["detected intent (label + confidence score if available)","extracted entities (structured data)","fallback intent for unrecognized queries"],"categories":["data-processing-analysis","nlp-classification"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Active accounts on target messaging platforms (WhatsApp Business API, Facebook Page, etc.)","API credentials or webhook configuration for each channel","Internet connectivity for real-time message routing","Internet connectivity for real-time LLM inference","API quota or message credits (likely limited on free tier)","Initial bot configuration with conversation flows or training data","Persistent backend storage (managed by Chatworm)","Customer identification mechanism (user ID, phone number, email)","Web browser access to Chatworm dashboard","Basic understanding of conversation design (intents, entities, responses)"],"failure_modes":["Free tier likely restricts total message volume per month, forcing upgrades at scale","Channel-specific features (rich media, interactive buttons) may not be fully supported across all platforms","Message delivery guarantees and retry logic not publicly documented — potential for lost messages on free tier","Response quality depends on underlying LLM and training data — no public benchmarks provided","Hallucination risk: model may generate plausible-sounding but factually incorrect answers about products/services","Free tier likely has strict rate limits on API calls, forcing message queuing or delays","No documented fine-tuning capability — responses may not reflect brand voice or domain-specific knowledge","Free tier likely has strict retention limits (e.g., 30 days of history) before data deletion","No documented encryption or data residency options — privacy concerns for regulated industries","Conversation summarization (if implemented) may lose important details, degrading response quality","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":"2026-05-24T12:16:29.716Z","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=chatworm","compare_url":"https://unfragile.ai/compare?artifact=chatworm"}},"signature":"wF3fhr1+ZcXRZfnByksSL5yIoWRljf7Vu+LSqIG2czs44Ly5ZAVLVuMMdTgN5R89oOgpsGaKJggLI6tfcexWAw==","signedAt":"2026-06-20T18:41:11.045Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chatworm","artifact":"https://unfragile.ai/chatworm","verify":"https://unfragile.ai/api/v1/verify?slug=chatworm","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"}}