{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_agentx","slug":"agentx","name":"AgentX","type":"agent","url":"https://www.agentx.so","page_url":"https://unfragile.ai/agentx","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_agentx__cap_0","uri":"capability://automation.workflow.no.code.conversational.agent.builder.with.drag.and.drop.workflow.design","name":"no-code conversational agent builder with drag-and-drop workflow design","description":"AgentX provides a visual workflow editor that allows non-technical users to construct chatbot conversation flows by dragging predefined blocks (message nodes, decision branches, API calls, handoff triggers) onto a canvas and connecting them with conditional logic. The builder compiles these visual workflows into executable conversation state machines without requiring code generation or manual API integration, enabling rapid iteration and deployment of custom conversational agents.","intents":["I need to build a customer support chatbot without hiring a developer","I want to quickly test different conversation flows and iterate on bot responses","I need to deploy a chatbot to production without DevOps overhead or infrastructure management"],"best_for":["Non-technical product managers and customer success teams at SMB SaaS companies","E-commerce brands needing rapid chatbot deployment for seasonal campaigns","Customer support teams evaluating chatbot ROI before committing engineering resources"],"limitations":["Visual workflow abstraction limits implementation of complex conditional logic; deeply nested decision trees become unwieldy in the UI","No programmatic API for workflow definition — workflows must be created through the UI, limiting infrastructure-as-code patterns","Workflow versioning and rollback appear to be manual; no built-in CI/CD integration for staged deployments"],"requires":["Web browser with modern JavaScript support (Chrome, Firefox, Safari, Edge)","AgentX account with freemium or paid tier access","Integration credentials if connecting to external APIs (Slack, Zendesk, etc.)"],"input_types":["text (conversation prompts, bot response templates)","structured workflow definitions (node configurations, branching rules)"],"output_types":["executable chatbot agent","conversation state machine","deployed web widget or API endpoint"],"categories":["automation-workflow","no-code-platform"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_1","uri":"capability://automation.workflow.real.time.bot.personality.and.response.customization.without.redeployment","name":"real-time bot personality and response customization without redeployment","description":"AgentX allows live modification of chatbot tone, response templates, and behavioral parameters (e.g., escalation thresholds, greeting messages) through a configuration panel that updates the running bot instance immediately without requiring code changes, recompilation, or service restart. Changes propagate to all active conversation sessions within seconds, enabling A/B testing of bot personalities and rapid response to customer feedback without downtime.","intents":["I want to adjust my bot's tone or response style based on real-time customer feedback","I need to test different greeting messages or escalation triggers without redeploying","I want to run A/B tests on bot personality variants simultaneously across different user cohorts"],"best_for":["Customer success teams optimizing bot engagement metrics in production","Product teams running rapid experimentation cycles on conversational UX","Support teams needing to adjust bot behavior during peak traffic periods"],"limitations":["Real-time updates apply only to stateless response templates; stateful conversation context from ongoing sessions may not reflect new personality parameters until session restart","No built-in A/B testing framework — manual cohort assignment required to isolate variants","Changes are not versioned or timestamped in audit logs; difficult to correlate bot behavior changes with metric shifts"],"requires":["Active AgentX deployment with at least one published chatbot","Admin or editor-level permissions in the AgentX workspace","Web browser access to the AgentX dashboard"],"input_types":["text (response templates, tone descriptors)","numeric parameters (escalation thresholds, confidence scores)","configuration objects (greeting rules, fallback behaviors)"],"output_types":["updated bot behavior in live conversations","configuration snapshots (for rollback or comparison)"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_2","uri":"capability://tool.use.integration.multi.channel.conversation.routing.and.handoff.orchestration","name":"multi-channel conversation routing and handoff orchestration","description":"AgentX routes incoming conversations from multiple channels (web chat widget, Slack, email, SMS) to a unified bot instance, which can intelligently escalate conversations to human agents based on intent detection, confidence thresholds, or explicit user requests. The handoff mechanism preserves conversation context (message history, user metadata, bot interaction state) and routes to appropriate team channels (Slack workspace, ticketing system, email queue) without requiring manual context re-entry.","intents":["I need my chatbot to seamlessly hand off complex customer issues to human support agents","I want to accept customer inquiries from multiple channels but manage them through a single support interface","I need to preserve full conversation history when escalating from bot to human agent"],"best_for":["Multi-channel customer support teams using Slack, Zendesk, or Intercom as primary ticketing systems","E-commerce brands accepting customer inquiries via web chat, SMS, and social messaging","SaaS companies needing to route support requests across distributed support teams"],"limitations":["Integration ecosystem is limited compared to Intercom or Drift — only core channels (Slack, email, web widget) are natively supported; custom channel connectors require engineering effort","Handoff logic is rule-based rather than ML-driven; no automatic intent classification or confidence scoring to determine escalation eligibility","Context preservation during handoff is shallow — only message history and basic user metadata are transferred; custom conversation state or bot-specific variables may be lost"],"requires":["AgentX account with multi-channel integration tier","API credentials for target channels (Slack workspace token, Zendesk API key, email SMTP credentials)","Configured escalation rules and human agent availability in target systems"],"input_types":["text messages from multiple channels","user metadata (name, email, phone, custom attributes)","conversation context (message history, bot interaction state)"],"output_types":["routed conversation to human agent","ticket or thread in target system","notification to assigned support team"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_3","uri":"capability://data.processing.analysis.conversation.analytics.with.basic.intent.and.sentiment.tracking","name":"conversation analytics with basic intent and sentiment tracking","description":"AgentX collects and aggregates conversation metrics including message counts, conversation duration, escalation rates, and basic sentiment classification (positive/negative/neutral) derived from message text analysis. The analytics dashboard displays these metrics in time-series charts and summary tables, but lacks granular intent classification, funnel-level attribution, or cohort-based segmentation needed for deep optimization.","intents":["I want to see how many conversations my bot is handling and what percentage are being escalated","I need to track customer satisfaction trends over time to measure bot effectiveness","I want to identify which conversation topics are most common to prioritize bot training"],"best_for":["SMB customer support teams evaluating basic chatbot ROI metrics","Product managers tracking high-level bot engagement and escalation rates","Customer success teams monitoring bot performance during rollout phases"],"limitations":["Intent classification is rule-based or uses simple keyword matching rather than NLU models; accuracy degrades for ambiguous or domain-specific intents","Sentiment analysis lacks context awareness — sarcasm, negation, and conditional statements are misclassified; no manual correction or feedback loop to improve accuracy","No funnel analysis, cohort segmentation, or attribution modeling — cannot correlate bot conversations with downstream business outcomes (conversions, support tickets, churn)","Analytics are aggregated at the workspace level; no per-user, per-session, or per-conversation-flow drill-down capabilities"],"requires":["Active chatbot with conversation history (minimum 24 hours of data for meaningful trends)","AgentX account with analytics access (available on freemium tier)","Web browser access to the AgentX dashboard"],"input_types":["conversation messages (text)","conversation metadata (duration, escalation flag, channel, timestamp)"],"output_types":["time-series metrics (conversations per hour, escalation rate trend)","summary statistics (total conversations, average duration, sentiment distribution)","dashboard visualizations (charts, tables)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_4","uri":"capability://automation.workflow.freemium.tier.with.core.chatbot.functionality.and.usage.limits","name":"freemium tier with core chatbot functionality and usage limits","description":"AgentX offers a free tier that includes one chatbot instance, basic conversation routing, up to 100 conversations per month, and access to the no-code builder and real-time customization features. The freemium model removes financial barriers to initial evaluation, allowing teams to test chatbot viability before committing to paid tiers, though free tier conversations are subject to monthly quotas and lack advanced analytics or priority support.","intents":["I want to test whether a chatbot makes sense for my business without upfront investment","I need to build a proof-of-concept chatbot quickly to demonstrate value to stakeholders","I want to evaluate AgentX against competitors before committing to a paid plan"],"best_for":["Startup founders and small business owners evaluating chatbot ROI","Product teams prototyping conversational features for new products","Individual developers or consultants building chatbots for clients"],"limitations":["Monthly conversation quota (100 conversations) is insufficient for production use; overage requires paid upgrade","Free tier lacks advanced analytics, multi-channel support, and priority support","No SLA or uptime guarantees on free tier; service may be deprioritized during high-load periods","Free tier data may be subject to retention limits or deletion after account inactivity"],"requires":["Email address to create AgentX account","Web browser with JavaScript enabled","No credit card required for free tier signup"],"input_types":["chatbot configuration (workflow, responses, escalation rules)"],"output_types":["deployed chatbot instance","conversation logs and basic metrics"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_5","uri":"capability://tool.use.integration.web.widget.embedding.and.deployment.with.minimal.configuration","name":"web widget embedding and deployment with minimal configuration","description":"AgentX generates a lightweight JavaScript widget that can be embedded on any website with a single script tag, automatically handling styling, positioning, and responsive behavior without requiring custom CSS or frontend integration code. The widget communicates with AgentX backend via HTTPS, manages conversation state locally, and supports customization of colors, position, and greeting messages through configuration parameters passed to the script tag.","intents":["I want to add a chatbot to my website without modifying my codebase or hiring a developer","I need the chatbot widget to match my brand colors and positioning","I want to deploy the chatbot to production with minimal testing and infrastructure changes"],"best_for":["Non-technical website owners and e-commerce managers","Marketing teams deploying chatbots for lead generation or customer support","Agencies building chatbots for multiple client websites"],"limitations":["Widget styling is limited to basic customization (colors, position, size); complex CSS overrides or custom UI components are not supported","Widget is hosted on AgentX CDN; no option for self-hosted deployment or on-premise installation","Widget communication is unencrypted at the application layer (relies on HTTPS transport security); no end-to-end encryption for sensitive conversations","Widget performance depends on AgentX backend availability; no fallback or graceful degradation if AgentX service is unavailable"],"requires":["Website with HTTPS enabled (required for secure widget communication)","Ability to add script tags to website HTML (or access to website CMS/builder)","AgentX account with published chatbot"],"input_types":["configuration parameters (colors, position, greeting message)","user messages (text)"],"output_types":["rendered chat widget on website","conversation messages sent to AgentX backend"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentx__cap_6","uri":"capability://planning.reasoning.intent.based.conversation.routing.with.rule.based.escalation.logic","name":"intent-based conversation routing with rule-based escalation logic","description":"AgentX analyzes incoming user messages to detect intent (e.g., 'billing question', 'technical support', 'sales inquiry') using keyword matching and simple pattern recognition, then routes conversations to appropriate bot response flows or escalates to human agents based on configurable rules (e.g., 'if intent is billing AND confidence < 0.7, escalate'). The routing logic is defined through the no-code builder as conditional branches rather than programmatic rules, making it accessible to non-technical teams but limiting expressiveness.","intents":["I want my chatbot to understand what customers are asking about and respond appropriately","I need to automatically escalate conversations that the bot cannot handle","I want to route different types of customer inquiries to different support teams"],"best_for":["Customer support teams with well-defined, non-overlapping intent categories","E-commerce businesses with straightforward customer inquiry types (shipping, returns, billing)","Teams without ML expertise or data science resources"],"limitations":["Intent detection uses keyword matching and regex patterns, not NLU models; accuracy is poor for ambiguous, multi-intent, or domain-specific queries","No confidence scoring or fallback handling for low-confidence predictions; escalation decisions are binary rather than probabilistic","Routing rules are defined in the UI as conditional branches; complex multi-step logic becomes unwieldy and difficult to maintain","No feedback loop or active learning — intent detection accuracy does not improve over time as the bot encounters new conversation patterns"],"requires":["Predefined list of intents relevant to your business domain","Configured routing rules in the AgentX builder","Human agents or fallback responses for escalated conversations"],"input_types":["user message text","conversation context (previous messages, user metadata)"],"output_types":["detected intent (string label)","confidence score (0-1)","routing decision (bot response flow or escalation)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support (Chrome, Firefox, Safari, Edge)","AgentX account with freemium or paid tier access","Integration credentials if connecting to external APIs (Slack, Zendesk, etc.)","Active AgentX deployment with at least one published chatbot","Admin or editor-level permissions in the AgentX workspace","Web browser access to the AgentX dashboard","AgentX account with multi-channel integration tier","API credentials for target channels (Slack workspace token, Zendesk API key, email SMTP credentials)","Configured escalation rules and human agent availability in target systems","Active chatbot with conversation history (minimum 24 hours of data for meaningful trends)"],"failure_modes":["Visual workflow abstraction limits implementation of complex conditional logic; 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