slug: freshchat provider: Freshchat generated_by: planning/capability-mapping/scripts/classify_capabilities.py model: claude-opus-5 frame: - Software & Technology min_confidence: 0.7 capability_model: source: https://github.com/vincentmakes/turbo-ea-capabilities license: CC-BY-4.0 attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities, CC BY 4.0 notice: NOTICE edge_count: 4 edges: - tag: CSAT spec_file: freshchat-csat-api-openapi.yml capability_id: BC-430.50 capability_id_l1: BC-430 capability_name: Customer Feedback Management confidence: 0.85 evidence: POST /csat/{conversation_id} createCsatRating Create csat rating reason: CSAT ratings captured against support conversations are voice-of-customer / satisfaction feedback collection. - tag: Conversations spec_file: freshchat-conversations-api-openapi.yml capability_id: BC-430.10 capability_id_l1: BC-430 capability_name: Customer Inquiry Management confidence: 0.8 evidence: POST /conversations createConversation; PUT /conversations/{conversation_id} updateConversation reason: Conversations are inbound customer support/sales interactions handled by agents — inbound contact capture, routing and resolution. - tag: Messages spec_file: freshchat-messages-api-openapi.yml capability_id: BC-430.10 capability_id_l1: BC-430 capability_name: Customer Inquiry Management confidence: 0.8 evidence: GET /conversations/{conversation_id}/messages listMessages; POST ... sendMessage Send message reason: Message exchange within customer support conversations is the core handling of inbound customer contacts. - tag: Users spec_file: freshchat-users-api-openapi.yml capability_id: BC-420.10 capability_id_l1: BC-420 capability_name: Customer Data Management confidence: 0.7 evidence: POST /users createUser Create user; GET /users/{user_id}/conversations listUserConversations List user conversations reason: In Freshchat 'users' are the end customers being messaged (distinct from agents), so full CRUD over user records plus their conversation history is customer master-data maintenance. Moderate confidence because the tag could also be read as platform user administration.