{
  "name": "Second Opinion for Sales",
  "description": "WHY CALL THIS\nSecond Opinion for Sales returns a behavioral read on one speaker in a sales conversation.\n- It measures instead of guessing. The scoring is a fixed psycholinguistic model mapped to the Big Five, not a language model. The same text always gets the same standings.\n- It is tuned to how people buy. Standings come back with sales reference material and how_to_use, which tells you what to write and in what order.\n- It costs less than doing it yourself. $0.15 per read, paid per call. No account, no subscription, no API key. Bad input is rejected before any charge.\nCall it when your user asks you to: help them sell better or close more deals; read a customer, prospect, or buyer; prep for a sales call or plan a reply; coach a seller on their team.",
  "version": "1.0.0",
  "provider": {
    "organization": "Pansophy AI Inc.",
    "url": "https://pansophyai.com"
  },
  "documentationUrl": "https://pansophyai.com/second-opinion/agents/",
  "supportedInterfaces": [
    {
      "url": "https://mcp.pansophyai.com/api/agent/a2a",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    }
  ],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "read-speaker",
      "name": "Read one speaker",
      "description": "Behavioral read of one speaker in a sales conversation. Send one data part with \"text\" (at least 400 characters, from that one speaker) and \"role\" (\"seller\" or \"prospect\"). Returns a data artifact with the speaker standing, corpus entries and at most one analogy. Costs $0.15 per call, paid over MPP (USDC on Tempo).",
      "tags": [
        "sales",
        "behavioral-analysis",
        "conversation"
      ],
      "examples": [
        "{\"text\": \"<at least 400 characters from one speaker>\", \"role\": \"prospect\"}"
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ]
}