AI Sentiment Analysis (Agent Tollgate Engine)

x402

AI Sentiment Analysis (Agent Tollgate Engine) is a paid API for AI agents from skinwinking.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-31).

Classifies text (or a batch of up to 50 texts) as POSITIVE, NEGATIVE, or NEUTRAL with a confidence score, paid per-call via x402 USDC.

Price / call$0.003

Seller volume →—

Success—

StatusUnknown

How this service works

50 pay-per-call tools for agents over x402 (USDC on Base, Polygon, Solana): crypto market data, token audits, indicators, swap routing, web extraction, DNS/WHOIS/email checks, FX, weather and AI text/image tools.

Output

Returns a JSON object with a 'label' field (e.g. 'POSITIVE', 'NEGATIVE', 'NEUTRAL') and a 'score' field (0–1 confidence). When a batch array is submitted, returns an array of such objects in the same order as the input.

Example use cases

Customer review sentiment triage

“Analyze the sentiment of this review and tell me if it's positive, negative, or neutral with a confidence score: 'Absolutely loved the product — best purchase I've made all year!'”

Social media mood monitoring

“I have 30 tweets about our brand launch — can you classify each one as positive, negative, or neutral and give me confidence scores for all of them?”

Support ticket prioritization

“Check the sentiment of this support message so I know how urgent it is: 'I've been waiting three weeks for a refund and nobody has responded to my emails. This is completely unacceptable.'”

Technical details

Endpoint

POSThttps://skinwinking.com/api/v1/ai/sentiment?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, affordable ($0.003/call) sentiment classification with batch support (up to 50 texts per call) and can pay per-use in USDC via x402 on Base, Polygon, or Solana — ideal for agent workflows that need sentiment as one step among many without managing a dedicated NLP subscription.

Side effects

Empty or missing 'text' field returns an error
Batch exceeds 50 items may be rejected or truncated
Payment failure via x402 results in 402 response before processing
Ambiguous or very short text may yield low-confidence scores
Non-English text may reduce accuracy depending on underlying model

Input

Schema · Request body

Field	Type	Description
text	string	Text, or a JSON array of up to 50 texts

Output

Schema · Response

{
  "type": "json",
  "example": {
    "label": "POSITIVE",
    "score": 0.99
  }
}

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