{
  "x402Version": 2,
  "id": 29487,
  "slug": "29487",
  "resource": "https://netintel.dev/sentiment/analyze",
  "description": "Sentiment analysis API — analyze sentiment of text and get a text sentiment score in one call: classifies positive / negative / neutral / mixed polarity with a -1 to +1 sentiment score, plus emotion detection in text (joy, anger, sadness, fear, surprise, disgust, trust, anticipation). Aspect-based sentiment and opinion mining for customer feedback analysis — analyze reviews, support tickets, social posts, chat messages. Via Claude Haiku.",
  "type": "http",
  "serviceName": "NetIntel",
  "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1784214098/bazaar-icons/7d2bf437631b2e4e.png",
  "resourceType": "AI Inference",
  "accepts": [
    {
      "scheme": "exact",
      "network": "eip155:8453",
      "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "amount": "2000",
      "amountUsd": 0.002,
      "maxTimeoutSeconds": 300
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      "amount": "2000",
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      "maxTimeoutSeconds": 300
    }
  ],
  "outputSchema": {
    "properties": {
      "example": {
        "properties": {
          "aspects": {
            "description": "Per-aspect sentiment (present only when the aspects param was supplied); each aspect maps to { polarity, score }",
            "type": "object"
          },
          "confidence": {
            "description": "Model confidence 0.0-1.0",
            "type": "number"
          },
          "emotions": {
            "description": "Detected emotions drawn from joy, anger, sadness, fear, surprise, disgust, trust, anticipation",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "findings": {
            "description": "Reserved — currently always [] on success (analysis errors surface as 502s, never findings)",
            "type": "array"
          },
          "grade": {
            "description": "Letter grade A-F derived from service_score",
            "type": "string"
          },
          "polarity": {
            "description": "Overall sentiment: positive, negative, neutral, or mixed",
            "type": "string"
          },
          "score": {
            "description": "Sentiment polarity score from -1.0 (very negative) to 1.0 (very positive)",
            "type": "number"
          },
          "service_score": {
            "description": "Endpoint health score 0-100 (100 on success) — distinct from the sentiment score",
            "type": "number"
          }
        },
        "type": "object"
      },
      "type": {
        "type": "string"
      }
    },
    "required": [
      "type"
    ],
    "type": "object"
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "aspects": [
              "food",
              "service",
              "price"
            ],
            "text": "The food was absolutely delicious and the staff were so friendly, but the prices were a bit steep."
          },
          "bodyType": "json",
          "method": "POST",
          "type": "http"
        },
        "output": {
          "example": {
            "aspects": {
              "food": {
                "polarity": "positive",
                "score": 0.9
              },
              "price": {
                "polarity": "negative",
                "score": -0.4
              },
              "service": {
                "polarity": "positive",
                "score": 0.8
              }
            },
            "confidence": 0.86,
            "emotions": [
              "joy",
              "trust"
            ],
            "findings": [],
            "grade": "A",
            "polarity": "mixed",
            "score": 0.2,
            "service_score": 100
          },
          "type": "json"
        }
      },
      "schema": {
        "$schema": "https://json-schema.org/draft/2020-12/schema",
        "properties": {
          "input": {
            "additionalProperties": false,
            "properties": {
              "body": {
                "properties": {
                  "aspects": {
                    "description": "Optional list of up to 10 aspects for aspect-based sentiment (e.g. [\"price\", \"service\", \"quality\"]). When provided, sentiment toward each named aspect is also returned.",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "text": {
                    "description": "The text to analyze sentiment for — a review, message, feedback, or any natural-language text. Max 10000 words or 50KB.",
                    "type": "string"
                  }
                },
                "required": [
                  "text"
                ],
                "type": "object"
              },
              "bodyType": {
                "enum": [
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                  "text"
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              "type": {
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          "output": {
            "properties": {
              "example": {
                "properties": {
                  "aspects": {
                    "description": "Per-aspect sentiment (present only when the aspects param was supplied); each aspect maps to { polarity, score }",
                    "type": "object"
                  },
                  "confidence": {
                    "description": "Model confidence 0.0-1.0",
                    "type": "number"
                  },
                  "emotions": {
                    "description": "Detected emotions drawn from joy, anger, sadness, fear, surprise, disgust, trust, anticipation",
                    "items": {
                      "type": "string"
                    },
                    "type": "array"
                  },
                  "findings": {
                    "description": "Reserved — currently always [] on success (analysis errors surface as 502s, never findings)",
                    "type": "array"
                  },
                  "grade": {
                    "description": "Letter grade A-F derived from service_score",
                    "type": "string"
                  },
                  "polarity": {
                    "description": "Overall sentiment: positive, negative, neutral, or mixed",
                    "type": "string"
                  },
                  "score": {
                    "description": "Sentiment polarity score from -1.0 (very negative) to 1.0 (very positive)",
                    "type": "number"
                  },
                  "service_score": {
                    "description": "Endpoint health score 0-100 (100 on success) — distinct from the sentiment score",
                    "type": "number"
                  }
                },
                "type": "object"
              },
              "type": {
                "type": "string"
              }
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            "required": [
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            "type": "object"
          }
        },
        "required": [
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        ],
        "type": "object"
      }
    }
  },
  "tags": [
    "sentiment analysis",
    "aspect sentiment",
    "emotion detection",
    "text analysis",
    "llm",
    "bazaar"
  ],
  "sourceHost": "netintel.dev",
  "lastUpdated": "2026-10-13T08:13:23.714Z",
  "quality": {
    "calls30d": 6,
    "uniquePayers30d": 5,
    "lastCalledAt": "2026-10-13T08:13:23.322Z"
  },
  "metadata": {
    "serviceName": "NetIntel",
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1784214098/bazaar-icons/7d2bf437631b2e4e.png",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "aspects": [
                "food",
                "service",
                "price"
              ],
              "text": "The food was absolutely delicious and the staff were so friendly, but the prices were a bit steep."
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "aspects": {
                "food": {
                  "polarity": "positive",
                  "score": 0.9
                },
                "price": {
                  "polarity": "negative",
                  "score": -0.4
                },
                "service": {
                  "polarity": "positive",
                  "score": 0.8
                }
              },
              "confidence": 0.86,
              "emotions": [
                "joy",
                "trust"
              ],
              "findings": [],
              "grade": "A",
              "polarity": "mixed",
              "score": 0.2,
              "service_score": 100
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "aspects": {
                      "description": "Optional list of up to 10 aspects for aspect-based sentiment (e.g. [\"price\", \"service\", \"quality\"]). When provided, sentiment toward each named aspect is also returned.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "text": {
                      "description": "The text to analyze sentiment for — a review, message, feedback, or any natural-language text. Max 10000 words or 50KB.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "text"
                  ],
                  "type": "object"
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                  "enum": [
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                  "type": "string"
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                "method": {
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            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "aspects": {
                      "description": "Per-aspect sentiment (present only when the aspects param was supplied); each aspect maps to { polarity, score }",
                      "type": "object"
                    },
                    "confidence": {
                      "description": "Model confidence 0.0-1.0",
                      "type": "number"
                    },
                    "emotions": {
                      "description": "Detected emotions drawn from joy, anger, sadness, fear, surprise, disgust, trust, anticipation",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "findings": {
                      "description": "Reserved — currently always [] on success (analysis errors surface as 502s, never findings)",
                      "type": "array"
                    },
                    "grade": {
                      "description": "Letter grade A-F derived from service_score",
                      "type": "string"
                    },
                    "polarity": {
                      "description": "Overall sentiment: positive, negative, neutral, or mixed",
                      "type": "string"
                    },
                    "score": {
                      "description": "Sentiment polarity score from -1.0 (very negative) to 1.0 (very positive)",
                      "type": "number"
                    },
                    "service_score": {
                      "description": "Endpoint health score 0-100 (100 on success) — distinct from the sentiment score",
                      "type": "number"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
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              "type": "object"
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          },
          "required": [
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  "liveness": {
    "reliability": null
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  "verified": false,
  "featured": false,
  "provider": {
    "host": "netintel.dev",
    "manifest_name": "netintel.dev",
    "source": "cdp-mirror",
    "source_manifest_url": "https://api.cdp.coinbase.com/platform/v2/x402/discovery/resources",
    "submitted_at": "2026-10-14T01:15:01.050Z"
  },
  "exampleResponse": {
    "example": {
      "aspects": {},
      "confidence": 0,
      "emotions": [
        "string"
      ],
      "findings": [
        "value"
      ],
      "grade": "string",
      "polarity": "string",
      "score": 0,
      "service_score": 0
    },
    "type": "string"
  }
}