> ## Documentation Index > Fetch the complete documentation index at: https://api.livechatai.com/llms.txt > Use this file to discover all available pages before exploring further. # Get main analytics > Get main analytics data for a chatbot including conversations, resolutions, responses, and daily breakdown ## OpenAPI ````yaml get /api/v2/analytics openapi: 3.0.1 info: title: LiveChatAI API v2 description: >- LiveChatAI API v2 - Build powerful AI-powered customer support experiences. This API follows REST principles with predictable, resource-oriented URLs, JSON responses, and standard HTTP methods. version: 2.0.0 servers: - url: https://app.livechatai.com description: Production server security: - bearerAuth: [] paths: /api/v2/analytics: get: tags: - Analytics summary: Get main analytics description: >- Get main analytics data for a chatbot including conversations, resolutions, responses, and daily breakdown parameters: - in: query name: agentId required: true schema: type: string example: clx1234567890abcdef description: The ID of the agent/chatbot - in: query name: startDate required: true schema: type: string format: date example: '2024-01-01' description: Start date for analytics (ISO 8601 format) - in: query name: endDate required: true schema: type: string format: date example: '2024-01-31' description: End date for analytics (ISO 8601 format) - in: query name: timezone schema: type: string example: America/New_York description: Timezone for date calculations (defaults to system timezone) responses: '200': description: Successfully retrieved analytics data content: application/json: schema: type: object properties: status: type: string example: success data: type: object properties: currentPeriod: type: object properties: totalConversationCount: type: number example: 150 description: Total number of conversations openConversationCount: type: number example: 25 description: Number of open conversations closedConversationCount: type: number example: 125 description: Number of closed conversations totalResolutionCount: type: number example: 120 description: Total number of resolutions agentJoinedConversationRate: type: number example: 15 description: Percentage of conversations where an agent joined averageResolutionRate: type: number example: 80 description: Average resolution rate percentage totalGoodResponse: type: number example: 95 description: Total number of positive responses totalBadResponse: type: number example: 25 description: Total number of negative responses goodResponseRate: type: number example: 79 description: Percentage of positive responses badResponseRate: type: number example: 21 description: Percentage of negative responses totalContactsCapture: type: number example: 45 description: Total number of contacts captured averageChatDuration: type: number example: 325 description: Average chat duration in seconds humanizedAverageChatDuration: type: string example: 5m 25s description: Human-readable average chat duration averageAIAgentCSATScore: type: number nullable: true example: 4.5 description: >- Average AI Agent CSAT score (1-5 scale), null if no responses totalAIAgentCSATResponses: type: number example: 32 description: Total number of AI Agent CSAT responses received dailyData: type: array items: type: object properties: date: type: string example: '2024-01-15' description: Date of the data point total: type: number example: 10 description: Total conversations for this day aiResolved: type: number example: 8 description: Number of AI-resolved conversations humanInvolved: type: number example: 2 description: >- Number of conversations with human involvement description: Daily breakdown of conversation data changes: type: object description: Percentage changes compared to previous period properties: totalConversationCount: type: number example: 10.5 description: Percentage change in total conversations closedConversationCount: type: number nullable: true example: 12.3 description: Percentage change in closed conversations totalResolutionCount: type: number nullable: true example: 8.3 description: Percentage change in resolutions agentJoinedConversationRate: type: number nullable: true example: -12.5 description: >- Percentage change in agent joined conversation rate averageResolutionRate: type: number example: 5.2 description: Percentage change in resolution rate goodResponseRate: type: number nullable: true example: 8.7 description: Percentage change in positive response rate badResponseRate: type: number nullable: true example: -3.1 description: Percentage change in bad response rate totalContactsCapture: type: number example: 15.8 description: Percentage change in contacts captured averageChatDuration: type: number nullable: true example: -3.5 description: Percentage change in average chat duration averageAIAgentCSATScore: type: number nullable: true example: 3.2 description: >- Percentage change in average AI Agent CSAT score previousPeriod: type: object description: Previous period data for comparison properties: totalConversationCount: type: number example: 136 description: Total conversations in previous period openConversationCount: type: number example: 20 description: Number of open conversations in previous period closedConversationCount: type: number example: 111 description: Closed conversations in previous period totalResolutionCount: type: number example: 105 description: Total number of resolutions in previous period agentJoinedConversationRate: type: number example: 13 description: >- Percentage of conversations where an agent joined in previous period averageResolutionRate: type: number example: 76 description: Resolution rate in previous period totalGoodResponse: type: number example: 82 description: >- Total number of positive responses in previous period totalBadResponse: type: number example: 30 description: >- Total number of negative responses in previous period goodResponseRate: type: number example: 73 description: Positive response rate in previous period badResponseRate: type: number example: 27 description: >- Percentage of negative responses in previous period totalContactsCapture: type: number example: 39 description: >- Total number of contacts captured in previous period averageChatDuration: type: number example: 337 description: >- Average chat duration in seconds in previous period humanizedAverageChatDuration: type: string example: 5m 37s description: >- Human-readable average chat duration in previous period averageAIAgentCSATScore: type: number nullable: true example: 4.3 description: >- Average AI Agent CSAT score in previous period (1-5 scale), null if no responses totalAIAgentCSATResponses: type: number example: 28 description: >- Total number of AI Agent CSAT responses in previous period '400': description: Bad request - Missing or invalid parameters '401': description: Unauthorized - Invalid API token '403': description: Forbidden - API access not available for plan '404': description: Chatbot not found or access denied '500': description: Internal server error security: - bearerAuth: [] components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT ````