{
  "generated_at": "2026-04-24T15:01:35.625676+00:00",
  "slug": "gg402-vercel-app-emotion-detector",
  "title": "gg402 \u00b7 Text and speech emotion detector",
  "url": "https://gg402.vercel.app/emotion_detector",
  "category": "ai",
  "summary": "Detect emotions in text or speech with granular scoring across multiple emotional dimensions.",
  "seo": {
    "title": "Emotion Detection API x402 - Sentiment & Emotion Analysis",
    "description": "Analyze text or speech for emotional content with granular emotion scores. $0.01 per call via x402 on Base. Joy, anger, fear, disgust, sadness breakdown. Communication insights API."
  },
  "use_cases": [
    "Analyze customer support conversations for emotional escalation",
    "Score user-generated content for moderation",
    "Measure emotional response in feedback and reviews",
    "Optimize communication tone based on detected emotions"
  ],
  "ideal_buyer": "Customer experience teams, content moderators, and communication analysis systems requiring emotional intelligence at scale.",
  "example_prompt": "Analyze this customer message for emotional content and provide scores for anger, joy, and fear.",
  "example_request_body": {
    "text": "I am extremely frustrated with this service and want a refund immediately"
  },
  "risk_notes": [],
  "pricing_sanity": {
    "flag": "normal",
    "ratio": 0.333,
    "median_category_atomic": 30000
  },
  "pricing_review_required": false,
  "pricing_decimal_suspect": false,
  "trust_tier": "indexed_external",
  "accepts": [
    {
      "scheme": "exact",
      "network": "base",
      "pay_to": "0x9257cd24721e3c06e9f7655b77c283bcd9652132",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "max_amount_required_atomic": "10000",
      "max_timeout_seconds": 60,
      "mime_type": "application/json",
      "description": "Analyzes text or speech for emotional content, providing sentiment and emotion breakdowns for communication insights.",
      "verified": false,
      "hints": {
        "input": {
          "type": "http",
          "method": "POST",
          "bodyType": "json",
          "bodyFields": {
            "context": {
              "type": "string",
              "required": false,
              "description": "Background, e.g., 'email', 'conversation'."
            },
            "text_input": {
              "type": "string",
              "required": true,
              "description": "Text to analyze for emotions."
            }
          }
        },
        "output": {
          "type": "object",
          "required": [
            "primary_emotion",
            "emotion_breakdown",
            "insights"
          ],
          "properties": {
            "insights": {
              "type": "string",
              "description": "Suggestions for response."
            },
            "primary_emotion": {
              "type": "string",
              "description": "Main detected emotion, e.g., 'joy'."
            },
            "emotion_breakdown": {
              "type": "object",
              "required": [
                "joy",
                "sadness",
                "anger",
                "fear",
                "surprise",
                "disgust"
              ],
              "properties": {
                "joy": {
                  "type": "number",
                  "description": "Score for joy (0-1)."
                },
                "fear": {
                  "type": "number",
                  "description": "Score for fear (0-1)."
                },
                "anger": {
                  "type": "number",
                  "description": "Score for anger (0-1)."
                },
                "disgust": {
                  "type": "number",
                  "description": "Score for disgust (0-1)."
                },
                "sadness": {
                  "type": "number",
                  "description": "Score for sadness (0-1)."
                },
                "surprise": {
                  "type": "number",
                  "description": "Score for surprise (0-1)."
                }
              },
              "description": "Scores for various emotions."
            }
          }
        }
      }
    }
  ],
  "origin": {
    "slug": "gg402-vercel-app",
    "host": "gg402.vercel.app",
    "title": "x402 API Marketplace | Pay-per-call APIs with Crypto",
    "description": "Discover and integrate paid APIs using the x402 protocol. Micropayments made simple with crypto.",
    "url": "https://gg402.vercel.app"
  },
  "json_ld": {
    "@id": "https://x402all.com/resource/gg402-vercel-app-emotion-detector",
    "url": "https://x402all.com/resource/gg402-vercel-app-emotion-detector",
    "name": "gg402 \u00b7 Text and speech emotion detector",
    "@type": "WebAPI",
    "offers": {
      "url": "https://x402all.com/resource/gg402-vercel-app-emotion-detector",
      "@type": "Offer",
      "price": "0.01",
      "availability": "https://schema.org/InStock",
      "priceCurrency": "USDC",
      "priceSpecification": {
        "@type": "UnitPriceSpecification",
        "price": "0.010000",
        "unitText": "call",
        "priceCurrency": "USDC"
      },
      "eligibleCustomerType": "Agent",
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "paymentNetwork",
          "value": "base"
        },
        {
          "@type": "PropertyValue",
          "name": "paymentAsset",
          "value": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
        }
      ]
    },
    "sameAs": "https://gg402.vercel.app/emotion_detector",
    "@context": "https://schema.org",
    "provider": {
      "@id": "https://x402all.com/server/gg402-vercel-app",
      "url": "https://gg402.vercel.app",
      "name": "x402 API Marketplace | Pay-per-call APIs with Crypto",
      "@type": "Organization"
    },
    "identifier": "gg402-vercel-app-emotion-detector",
    "description": "Analyze text or speech for emotional content with granular emotion scores. $0.01 per call via x402 on Base. Joy, anger, fear, disgust, sadness breakdown. Communication insights API.",
    "potentialAction": {
      "@type": "BuyAction",
      "target": "https://axon402.com/test-buy?resource=gg402-vercel-app-emotion-detector",
      "description": "Test-buy this endpoint on AXON"
    },
    "applicationCategory": "ai"
  },
  "axon_deep_link": "https://axon402.com/test-buy?resource=gg402-vercel-app-emotion-detector"
}