SignalFuse Social Sentiment – Equity Ticker

x402

SignalFuse Social Sentiment – Equity Ticker is a paid API for AI agents from api.signalfuse.co, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-16).

Returns ModernFinBERT-powered social sentiment (bullish/bearish/neutral label, score, and confidence) for a given equity ticker symbol.

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

ModernFinBERT social sentiment for equity tickers

Output

A JSON object containing the ticker symbol, a sentiment label (bullish, bearish, or neutral), a sentiment score between -1 and 1, a confidence value between 0 and 1, and a timestamp indicating when the signal was last updated.

Example use cases

Pre-trade sentiment check

“Before I put in a buy order on NVDA, can you check what the current social sentiment is and whether the signal is strong enough to trust?”

Earnings sentiment monitor

“What's the social sentiment reading on TSLA right now — label, score, and confidence — ahead of their earnings call?”

Multi-ticker sentiment comparison

“Pull the social sentiment for AAPL and tell me if it's bullish, bearish, or neutral and what the confidence score looks like.”

Technical details

Endpoint

GEThttps://api.signalfuse.co/v1/sentiment/META

When to prefer

Choose this endpoint when you need a lightweight, per-ticker social sentiment signal derived from NLP (ModernFinBERT) rather than raw price data or order-book signals. It is ideal for pre-trade checks, sentiment-driven screening, or enriching trading agent decisions with crowd sentiment context. Prefer this over generic news APIs when you want a structured bullish/bearish/neutral classification with a confidence score rather than raw article text.

Side effects

Unknown or unsupported ticker symbol returns an error or empty result
Stale data if sentiment has not been refreshed recently (check updated_at)
Payment failure (402) if x402 USDC micropayment is not properly handled
Rate limiting if too many calls are made in short succession
Confidence score may be low for thinly-traded or low-social-volume tickers

Input

Schema · Request body

{
  "output": {
    "required": [
      "symbol",
      "label",
      "confidence",
      "score"
    ],
    "properties": {
      "label": {
        "enum": [
          "bullish",
          "bearish",
          "neutral"
        ],
        "type": "string"
      },
      "score": {
        "type": "number",
        "maximum": 1,
        "minimum": -1
      },
      "symbol": {
        "type": "string"
      },
      "confidence": {
        "type": "number",
        "maximum": 1,
        "minimum": 0
      },
      "updated_at": {
        "type": "string",
        "format": "date-time"
      }
    }
  }
}

Output

Schema · Response

{
  "type": "json",
  "example": {
    "label": "bullish",
    "score": 0.7,
    "symbol": "TSLA",
    "confidence": 0.78,
    "updated_at": "2026-06-01T19:30:00+00:00"
  }
}

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Example use cases

Pre-trade sentiment check

“Before I put in a buy order on NVDA, can you check what the current social sentiment is and whether the signal is strong enough to trust?”

Earnings sentiment monitor

“What's the social sentiment reading on TSLA right now — label, score, and confidence — ahead of their earnings call?”

Multi-ticker sentiment comparison

“Pull the social sentiment for AAPL and tell me if it's bullish, bearish, or neutral and what the confidence score looks like.”

Technical details

Endpoint

GEThttps://api.signalfuse.co/v1/sentiment/META

When to prefer

Side effects

Unknown or unsupported ticker symbol returns an error or empty result
Stale data if sentiment has not been refreshed recently (check updated_at)
Payment failure (402) if x402 USDC micropayment is not properly handled
Rate limiting if too many calls are made in short succession
Confidence score may be low for thinly-traded or low-social-volume tickers

Input

Schema · Request body

{
  "output": {
    "required": [
      "symbol",
      "label",
      "confidence",
      "score"
    ],
    "properties": {
      "label": {
        "enum": [
          "bullish",
          "bearish",
          "neutral"
        ],
        "type": "string"
      },
      "score": {
        "type": "number",
        "maximum": 1,
        "minimum": -1
      },
      "symbol": {
        "type": "string"
      },
      "confidence": {
        "type": "number",
        "maximum": 1,
        "minimum": 0
      },
      "updated_at": {
        "type": "string",
        "format": "date-time"
      }
    }
  }
}

Output

Schema · Response

{
  "type": "json",
  "example": {
    "label": "bullish",
    "score": 0.7,
    "symbol": "TSLA",
    "confidence": 0.78,
    "updated_at": "2026-06-01T19:30:00+00:00"
  }
}