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KiHustle Subjectivity Analysis API
x402
KiHustle Subjectivity Analysis API is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Analyzes input text to determine its degree of subjectivity versus objectivity
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object indicating the subjectivity analysis result and a success status. The 'result' field contains the processed classification output (e.g. subjective/objective determination), and 'status' confirms successful processing.
Example use cases
Fact-checking opinion in news articles
“I need to check whether this news excerpt is reporting objective facts or injecting subjective opinion — can you run a subjectivity analysis on it? Here's the text: 'The administration's reckless decision has inevitably led to widespread economic suffering.'”
Content quality review for a blog
“Before I publish this blog post section, can you tell me how subjective it sounds? I want to keep it factual. Here's the snippet: 'Automation is undeniably the best path forward for any serious entrepreneur who wants real results.'”
Filtering opinionated user reviews
“I'm processing user-submitted reviews and need to flag the highly opinionated ones — can you run subjectivity analysis on this review text: 'This product is absolutely terrible and anyone who buys it is wasting their money.'”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/subjectivity-analysisWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call subjectivity classification for individual text snippets, especially in automated pipelines where cost predictability ($0.002/call) matters. Suitable for filtering opinionated content, preprocessing text before further NLP steps, or flagging biased language in user-generated content.
Side effects
- Empty or missing 'text' field returns an error or malformed response
- Extremely long text inputs may be truncated or rejected
- Non-string input types for the text field may cause processing failure
- Network timeout for slow connections
- Ambiguous or very short text may produce low-confidence or generic results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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