Stelar Digital Sentiment Scorer

x402

Stelar Digital Sentiment Scorer is a paid API for AI agents from api.stelardigital.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).

Returns a sentiment score (-1 bearish to +1 bullish) and a label for arbitrary text or for a crypto asset based on its recent price action, powered by Claude Haiku.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Sentiment score (-1 bearish to +1 bullish) and label for arbitrary text, or for a crypto asset based on its recent price action, via Claude Haiku. For agents gauging market mood or scoring news, social posts, or free text.

Output

A numeric sentiment score between -1 (fully bearish) and +1 (fully bullish) and a corresponding label (e.g. bullish, bearish, neutral) for either the provided text or the specified crypto asset's recent price behavior.

Example use cases

Crypto news sentiment pipeline

“I have this headline from CoinDesk: 'Bitcoin ETF inflows hit record highs as institutional demand surges.' Can you score its sentiment and tell me if it's bullish, bearish, or neutral?”

Social post mood scoring

“Score the sentiment of this Reddit post for me: 'ETH gas fees are insane again, nobody is going to use this chain long-term.' Is it leaning bearish?”

Price-action mood for a crypto asset

“What's the current sentiment score for SOL based on its recent price action — is it bullish or bearish right now?”

Technical details

Endpoint

GEThttps://api.stelardigital.com/sentiment

When to prefer

Choose this endpoint when you need a fast, quantified sentiment score (-1 to +1) for crypto-related text or for gauging market mood from price action on a specific asset. It is ideal for pipelines that process news headlines, social posts, or commentary at scale and need a numeric signal rather than qualitative analysis. Prefer it over generic sentiment APIs when crypto domain framing matters, and when you need both free-text and price-action sentiment from a single endpoint.

Side effects

Missing both 'text' and 'asset' query params — API returns an error requiring at least one input
Unsupported asset symbol not in the allowed enum (ADA, BTC, DOGE, ETH, LTC, SOL, XLM, XRP) — returns validation error
Claude Haiku inference timeout or unavailability — may return 5xx error
Ambiguous or very short text may produce low-confidence scores near 0
Payment not completed or insufficient USDC balance — returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "input": "SOL",
    "label": "bullish",
    "sentiment": 0.42
  }
}

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How this service works

Output

Example use cases

Crypto news sentiment pipeline

“I have this headline from CoinDesk: 'Bitcoin ETF inflows hit record highs as institutional demand surges.' Can you score its sentiment and tell me if it's bullish, bearish, or neutral?”

Social post mood scoring

“Score the sentiment of this Reddit post for me: 'ETH gas fees are insane again, nobody is going to use this chain long-term.' Is it leaning bearish?”

Price-action mood for a crypto asset

“What's the current sentiment score for SOL based on its recent price action — is it bullish or bearish right now?”

Technical details

Endpoint

GEThttps://api.stelardigital.com/sentiment

When to prefer

Side effects

Missing both 'text' and 'asset' query params — API returns an error requiring at least one input
Unsupported asset symbol not in the allowed enum (ADA, BTC, DOGE, ETH, LTC, SOL, XLM, XRP) — returns validation error
Claude Haiku inference timeout or unavailability — may return 5xx error
Ambiguous or very short text may produce low-confidence scores near 0
Payment not completed or insufficient USDC balance — returns 402 Payment Required

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "input": "SOL",
    "label": "bullish",
    "sentiment": 0.42
  }
}