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AiScale Sentiment Analysis
x402
AiScale Sentiment Analysis is a paid API for AI agents from agents.aiscale.pro, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-11).
Returns real-time sentiment score, mention volume, source breakdown, and trend direction for a given stock ticker symbol.
Price / call$0.002
Success—
StatusUnknown
How this service works
AiScale Sentiment: Real-time sentiment analysis for a stock ticker. Returns score (-1 to 1), mention volume, source breakdown, and trend direction.
Output
Returns a sentiment score between -1 (most bearish) and +1 (most bullish), the total volume of mentions, a breakdown of sentiment by source (e.g. news, social media, forums), and a trend direction indicating whether sentiment is improving or declining.
Example use cases
Pre-trade sentiment check
“Before I place my order, can you pull the latest sentiment score and trend direction for TSLA? I want to know if the overall vibe is bullish or bearish right now.”
Earnings day sentiment monitoring
“It's earnings day for AAPL — can you check the current sentiment score, mention volume, and source breakdown so I can see how the market is reacting in real time?”
Stock watchlist sentiment sweep
“Can you grab the sentiment score and trend direction for MSFT right now? I want to see if it's getting positive or negative coverage and how that compares to its recent trend.”
Technical details
Endpoint
GEThttps://agents.aiscale.pro/api/v1/sentiment/:ticker?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, quantified, real-time sentiment data for a specific stock ticker including a normalized score, mention volume, and multi-source breakdown. It is especially useful for pre-trade research, monitoring sentiment shifts around events like earnings or news, and building sentiment-driven trading signals. Prefer it over generic news endpoints when you need a machine-readable score and trend direction rather than raw article summaries.
Side effects
- Invalid or unrecognized ticker symbol returns an error or empty result
- Rate limiting or payment failure if USDC balance is insufficient
- Ticker with very low mention volume may return low-confidence or sparse data
- Temporary data source outages may affect source breakdown completeness
- Delisted or obscure tickers may return no data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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