Api Endpoint

agentforge-taupe.vercel.app

Sentiment analysis for agents processing crypto/finance text: scores news, governance proposals, and social posts from very bearish to very bullish with per-entity breakdown. Category: inference.

Open interactive test console

Offering

Provider
agentforge-taupe.vercel.app
Method
GET
Offering type
Api Endpoint
Transport type
http
Category
Blockchain And Crypto
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://agentforge-taupe.vercel.app/v1/sentiment
MIME type
application/json
First seen
2026-10-16T02:26:44.232Z
Last seen
Tags
sentiment analysis, crypto sentiment, NLP, market sentiment

Payment pricing

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

Payment option 1
0.003 USDC
Atomic price: 3000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.003 USDC
Atomic price: 3000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "3000",
    "payTo": "0xFA6F352E71c44d217df04eCAD902C82B72D2378c"
  },
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "3000",
    "payTo": "0xFA6F352E71c44d217df04eCAD902C82B72D2378c"
  }
]

Observed health

Status
Healthy
Latest latency
42 ms
Average latency
658 ms
HTTP status
402
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

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string",
      "const": "http"
    },
    "method": {
      "type": "string",
      "enum": [
        "GET"
      ]
    },
    "bodyType": {
      "type": "string",
      "enum": [
        "json",
        "form-data",
        "text"
      ]
    },
    "body": {
      "type": "object",
      "required": [
        "text"
      ],
      "properties": {
        "text": {
          "type": "string",
          "minLength": 1,
          "maxLength": 10000,
          "description": "Text to analyze for sentiment"
        },
        "context": {
          "type": "string",
          "enum": [
            "crypto",
            "finance",
            "general",
            "social_media"
          ],
          "default": "crypto"
        }
      }
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "additionalProperties": false
}

Output schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string"
    },
    "example": {
      "type": "object",
      "required": [
        "sentiment",
        "confidence",
        "label",
        "reasoning",
        "entities",
        "metadata"
      ],
      "properties": {
        "sentiment": {
          "type": "number",
          "minimum": -1,
          "maximum": 1
        },
        "confidence": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "label": {
          "type": "string",
          "enum": [
            "very_bearish",
            "bearish",
            "neutral",
            "bullish",
            "very_bullish"
          ]
        },
        "reasoning": {
          "type": "string"
        },
        "entities": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "name": {
                "type": "string"
              },
              "sentiment": {
                "type": "number"
              }
            }
          }
        },
        "metadata": {
          "type": "object",
          "properties": {
            "model": {
              "type": "string"
            },
            "processingTimeMs": {
              "type": "number"
            }
          }
        }
      }
    }
  },
  "required": [
    "type"
  ]
}