{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_agentplace","slug":"agentplace","name":"Agentplace","type":"agent","url":"https://agentplace.io","page_url":"https://unfragile.ai/agentplace","categories":["ai-agents"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_agentplace__cap_0","uri":"capability://text.generation.language.real.estate.domain.specific.chatbot.conversation.management","name":"real-estate-domain-specific chatbot conversation management","description":"Agentplace operates a conversational AI engine pre-trained on real estate domain knowledge, enabling natural language understanding of property-related queries, client intents, and transaction workflows. The system maintains conversation context across multi-turn exchanges to handle complex inquiries about property features, pricing, availability, and scheduling. Unlike generic chatbots, it recognizes real estate-specific entities (property types, neighborhoods, price ranges, lease terms) and responds with contextually appropriate information without requiring manual intent mapping.","intents":["I want to automatically respond to client property inquiries 24/7 without hiring additional staff","I need a chatbot that understands real estate terminology and can answer questions about my listings","I want to qualify leads through conversation before passing them to my sales team","I need to handle common client questions about property features, pricing, and availability automatically"],"best_for":["Solo real estate agents managing 10-50 active listings","Small property management companies with 5-20 staff handling client inquiries","Real estate brokerages automating first-contact lead qualification"],"limitations":["No transparency on hallucination rates for property details — risk of providing incorrect information about specific listings","Domain knowledge limited to real estate vertical; cannot be repurposed for other industries","Conversation context window size unknown — may lose context in extended multi-turn conversations","No documented accuracy metrics for property-specific factual queries"],"requires":["Active Agentplace account (freemium or paid tier)","Property listings or inventory data to feed into the system","Internet connectivity for real-time conversation processing"],"input_types":["natural language text queries","property listing metadata (address, price, features, availability)"],"output_types":["natural language conversational responses","structured lead qualification data","appointment/tour scheduling confirmations"],"categories":["text-generation-language","real-estate-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_1","uri":"capability://planning.reasoning.automated.property.inquiry.triage.and.response.routing","name":"automated property inquiry triage and response routing","description":"Agentplace classifies incoming client inquiries by intent (property information request, tour scheduling, pricing question, availability check, general inquiry) and routes them to appropriate response handlers or human agents based on complexity thresholds. The system uses real estate-specific intent classification to distinguish between routine questions the chatbot can handle independently versus complex negotiations or complaints requiring human intervention. Routing decisions are based on confidence scores and predefined escalation rules.","intents":["I want to automatically answer simple property questions but escalate complex negotiations to my team","I need to route tour requests directly to my scheduling system without manual processing","I want to identify high-priority leads that need immediate human attention","I need to reduce response time for common inquiries while preserving quality for complex cases"],"best_for":["Real estate teams with 3-10 agents handling 50+ inquiries daily","Property management companies needing to triage maintenance requests from tenant inquiries","Brokerages automating lead distribution to sales teams based on inquiry type"],"limitations":["Escalation rules and thresholds are not documented — unclear how system determines when to route to humans","No visibility into false positive/negative rates for intent classification","Integration with external CRM or scheduling systems not clearly specified","Cannot handle context-dependent routing decisions that require business logic beyond intent classification"],"requires":["Agentplace account with routing configuration access","Integration credentials for downstream systems (CRM, scheduling tools, email)","Predefined escalation rules or human review queue setup"],"input_types":["natural language client inquiries (email, chat, SMS)","property metadata for context matching"],"output_types":["automated responses for routine inquiries","escalation tickets for human agents","routing decisions with confidence scores"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_2","uri":"capability://automation.workflow.automated.tour.scheduling.and.calendar.integration","name":"automated tour scheduling and calendar integration","description":"Agentplace accepts tour scheduling requests from clients through natural language conversation and automatically books appointments into the agent's calendar system. The system handles availability checking, time zone conversion, and confirmation messaging without human intervention. It integrates with calendar platforms (likely Google Calendar, Outlook) to read availability and write bookings, and sends automated confirmation emails or SMS to clients with property details and meeting instructions.","intents":["I want clients to book property tours directly through chat without me manually checking my calendar","I need automated confirmation messages sent to clients with tour details and directions","I want to prevent double-booking and manage time zone differences for remote clients","I need tour requests logged in my CRM automatically for follow-up tracking"],"best_for":["Solo agents managing 20+ property showings per week","Teams with multiple agents needing centralized tour scheduling","Property management companies handling frequent tenant tours"],"limitations":["Calendar integration platforms not specified — unclear which systems are supported","No documented handling of complex scheduling scenarios (back-to-back tours, travel time between properties, agent unavailability)","Confirmation message templates not customizable — may not match agent branding","No support for group tours or multi-property itineraries","Rescheduling and cancellation workflows not documented"],"requires":["Agentplace account with scheduling module enabled","Connected calendar system (Google Calendar, Outlook, or equivalent)","Property address data and availability windows configured","SMS or email service for sending confirmations"],"input_types":["natural language tour requests (e.g., 'Can I see the property on Tuesday at 2pm?')","client contact information (email, phone)","property details (address, showing instructions)"],"output_types":["calendar bookings","confirmation emails/SMS","scheduling conflict alerts","tour logs for CRM"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_3","uri":"capability://data.processing.analysis.lead.qualification.and.scoring.through.conversational.interaction","name":"lead qualification and scoring through conversational interaction","description":"Agentplace extracts and scores lead quality signals from client conversations without explicit forms, identifying buyer intent, budget range, timeline, property preferences, and motivation through natural language analysis. The system builds a lead profile incrementally across multiple conversation turns, capturing implicit signals (e.g., 'I need to close by March' indicates timeline) and explicit data (e.g., 'My budget is $500k'). Leads are scored based on real estate-specific criteria (seriousness, budget alignment, timeline urgency) and exported to CRM systems with structured lead data.","intents":["I want to automatically qualify leads based on conversation without asking explicit screening questions","I need to identify serious buyers versus casual inquiries to prioritize follow-up","I want lead data automatically populated in my CRM without manual data entry","I need to understand buyer preferences and constraints from natural conversation"],"best_for":["Real estate agents handling 50+ inquiries monthly who need to prioritize follow-up","Brokerages automating lead scoring to improve sales team efficiency","Teams using CRM systems that need automated lead data population"],"limitations":["Scoring algorithm and weighting criteria not documented — unclear how 'serious buyer' is determined","No visibility into false positive rates (casual inquiries scored as high-intent)","Implicit signal extraction accuracy unknown — may miss or misinterpret buyer intent","No support for complex buyer profiles (investors, corporate buyers, international clients)","CRM integration scope not specified — unclear which CRM systems are supported"],"requires":["Agentplace account with lead scoring enabled","Connected CRM system for lead export (Salesforce, HubSpot, or equivalent)","Sufficient conversation history to build accurate lead profiles"],"input_types":["multi-turn conversational exchanges","client contact information","property inquiry context"],"output_types":["structured lead profiles (budget, timeline, preferences, motivation)","lead quality scores (0-100 or similar scale)","CRM-formatted lead records","qualification status (qualified, unqualified, needs follow-up)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_4","uri":"capability://search.retrieval.property.information.retrieval.and.contextual.answering","name":"property information retrieval and contextual answering","description":"Agentplace maintains a searchable index of property listings and retrieves relevant property information to answer client questions about specific properties or neighborhoods. When a client asks 'What's the square footage of the house on Main Street?' or 'Are there any 3-bedroom homes under $400k?', the system queries its property database, retrieves matching listings, and generates natural language answers with specific details. The system handles fuzzy matching for property addresses and supports filtering by multiple criteria (price, bedrooms, location, property type).","intents":["I want clients to get instant answers about my property listings without me manually responding","I need the chatbot to search my inventory and recommend properties matching client preferences","I want to provide detailed property information (square footage, features, pricing) automatically","I need to handle neighborhood questions and comparisons without manual research"],"best_for":["Agents with 10+ active listings needing 24/7 property information availability","Property management companies with large inventories requiring searchable access","Brokerages automating property recommendations based on client preferences"],"limitations":["Property data synchronization mechanism not documented — unclear how listing updates propagate to chatbot","Search accuracy for fuzzy address matching unknown — may return incorrect properties","No documented support for complex property features (smart home tech, HOA details, inspection history)","Neighborhood data sources not specified — may provide outdated or inaccurate information","No support for comparative market analysis or pricing insights"],"requires":["Agentplace account with property database access","Property listings uploaded or synced from MLS, CRM, or manual entry","Structured property metadata (address, price, bedrooms, bathrooms, square footage, features)"],"input_types":["natural language property queries (e.g., 'Show me 3-bedroom homes under $500k')","property addresses or identifiers","search filters (price range, location, property type)"],"output_types":["property details (address, price, features, photos)","listing recommendations","property comparison summaries","neighborhood information"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_5","uri":"capability://automation.workflow.client.follow.up.automation.and.engagement.tracking","name":"client follow-up automation and engagement tracking","description":"Agentplace automatically initiates follow-up conversations with leads at configurable intervals (e.g., 24 hours after initial inquiry, 7 days after tour) based on predefined workflows. The system tracks client engagement metrics (response rates, conversation frequency, property interest patterns) and adjusts follow-up timing and messaging based on engagement signals. Follow-up messages are personalized with property details, client preferences, and previous conversation context to increase relevance and response rates.","intents":["I want to automatically follow up with leads without manually tracking who needs contact","I need to nurture leads with personalized messages based on their interests and timeline","I want to track which leads are most engaged and prioritize my time accordingly","I need to send timely reminders about properties or tours without manual scheduling"],"best_for":["Solo agents managing 50+ active leads who need systematic follow-up","Teams with high lead volume requiring automated nurture workflows","Brokerages implementing lead nurture campaigns at scale"],"limitations":["Follow-up workflow configuration options not documented — unclear what triggers and intervals are supported","Engagement tracking metrics not specified — unclear what signals drive follow-up decisions","Message personalization depth unknown — may use generic templates rather than truly contextual messaging","No documented A/B testing or optimization of follow-up messaging","Unsubscribe and preference management not clearly specified"],"requires":["Agentplace account with automation workflows enabled","Client contact information (email, phone, or chat handle)","Configured follow-up workflows and message templates","Property or lead context data for personalization"],"input_types":["lead profiles with contact information","previous conversation history","property interests and preferences","engagement metrics"],"output_types":["automated follow-up messages","engagement reports","lead activity logs","prioritized follow-up lists"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_6","uri":"capability://tool.use.integration.multi.channel.conversation.continuity.across.chat.email.and.sms","name":"multi-channel conversation continuity across chat, email, and sms","description":"Agentplace maintains unified conversation context across multiple communication channels (web chat, email, SMS, potentially WhatsApp), allowing clients to start a conversation on one channel and continue on another without repeating information. The system routes incoming messages from any channel to a single conversation thread, preserves full message history, and enables agents to respond through the client's preferred channel. This eliminates channel-specific silos and ensures consistent context regardless of how clients choose to communicate.","intents":["I want clients to be able to chat with me via their preferred channel without losing conversation history","I need to respond to SMS inquiries with the same context as email conversations","I want a unified inbox for all client communications across channels","I need to ensure clients don't have to repeat information when switching communication methods"],"best_for":["Agents serving clients with diverse communication preferences","Teams managing high-volume inquiries across multiple channels","Brokerages standardizing client communication experience"],"limitations":["Supported channels not fully documented — unclear if WhatsApp, Facebook Messenger, or other platforms are integrated","Channel-specific formatting limitations not specified — may lose rich formatting when converting between channels","Message delivery guarantees not documented — unclear how system handles channel outages","No documented support for channel-specific features (SMS character limits, email attachments)","Conversation routing logic not specified — unclear how system determines optimal response channel"],"requires":["Agentplace account with multi-channel integration enabled","Connected communication channels (email, SMS provider, chat widget)","Client contact information across channels (email, phone number)"],"input_types":["messages from multiple channels (chat, email, SMS)","client identifiers for conversation matching","channel-specific metadata (sender, timestamp, delivery status)"],"output_types":["unified conversation threads","channel-agnostic message history","multi-channel response capability","unified inbox views"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_agentplace__cap_7","uri":"capability://safety.moderation.real.estate.compliance.and.data.privacy.management","name":"real estate compliance and data privacy management","description":"Agentplace implements compliance features for real estate regulations (Fair Housing Act, GDPR, CCPA, state-specific real estate laws) by filtering responses to avoid discriminatory language, managing client data retention policies, and maintaining audit logs of all client interactions. The system prevents the chatbot from making recommendations based on protected characteristics (race, national origin, familial status) and ensures all client data handling complies with privacy regulations. Audit trails document all data access and modifications for compliance verification.","intents":["I need to ensure my chatbot doesn't violate Fair Housing Act by making biased recommendations","I want to comply with GDPR/CCPA data privacy requirements for client information","I need audit logs of all client interactions for compliance verification","I want to automatically delete client data after retention periods expire"],"best_for":["Real estate teams operating in regulated markets (EU, California, etc.)","Brokerages with compliance departments requiring audit trails","Agents handling sensitive client information requiring data protection"],"limitations":["Specific compliance certifications not documented — unclear if GDPR/CCPA compliant or just attempting compliance","Fair Housing Act filtering mechanisms not detailed — unclear how system prevents discriminatory recommendations","Data retention policies not customizable — may not match specific regulatory requirements","Audit log retention and access controls not specified","No documented support for right-to-be-forgotten or data portability requests"],"requires":["Agentplace account with compliance features enabled","Configured data retention policies matching regulatory requirements","Understanding of applicable real estate and privacy regulations"],"input_types":["client interactions and data","compliance policy configurations","data retention requirements"],"output_types":["compliance-filtered responses","audit logs","data deletion confirmations","compliance reports"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Active Agentplace account (freemium or paid tier)","Property listings or inventory data to feed into the system","Internet connectivity for real-time conversation processing","Agentplace account with routing configuration access","Integration credentials for downstream systems (CRM, scheduling tools, email)","Predefined escalation rules or human review queue setup","Agentplace account with scheduling module enabled","Connected calendar system (Google Calendar, Outlook, or equivalent)","Property address data and availability windows configured","SMS or email service for sending confirmations"],"failure_modes":["No transparency on hallucination rates for property details — risk of providing incorrect information about specific listings","Domain knowledge limited to real estate vertical; cannot be repurposed for other industries","Conversation context window size unknown — may lose context in extended multi-turn conversations","No documented accuracy metrics for property-specific factual queries","Escalation rules and thresholds are not documented — unclear how system determines when to route to humans","No visibility into false positive/negative rates for intent classification","Integration with external CRM or scheduling systems not clearly specified","Cannot handle context-dependent routing decisions that require business logic beyond intent classification","Calendar integration platforms not specified — unclear which systems are supported","No documented handling of complex scheduling scenarios (back-to-back tours, travel time between properties, agent unavailability)","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":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:28.696Z","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=agentplace","compare_url":"https://unfragile.ai/compare?artifact=agentplace"}},"signature":"6dJhsE3L17zp6ESrfPd9DC0YzGFr+XV2bm9Si6eNpGnc4po6Ic0mFEeyT5E0DeXaEgbZZ8scjXkgjXON9isrAA==","signedAt":"2026-06-21T11:44:58.116Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/agentplace","artifact":"https://unfragile.ai/agentplace","verify":"https://unfragile.ai/api/v1/verify?slug=agentplace","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"}}