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Api Endpoint

NetIntel

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.

Open interactive test console

Offering

Provider
netintel.dev
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Social Intelligence
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://netintel.dev/sentiment/analyze
MIME type
Not provided
First seen
2026-10-16T01:50:10.647Z
Last seen
Tags
sentiment analysis, aspect sentiment, emotion detection, text analysis, LLM

Website

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.002 USDC
Atomic price: 2000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.002 USDC
Atomic price: 2000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "2000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "2000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
1047 ms
Average latency
379 ms
HTTP status
204
Last checked
Reachability
100% over 14 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "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": [
        "json",
        "form-data",
        "text"
      ],
      "type": "string"
    },
    "method": {
      "enum": [
        "POST"
      ],
      "type": "string"
    },
    "type": {
      "const": "http",
      "type": "string"
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "type": "object"
}

Output schema

{
  "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"
}