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KiteEndpoints.ai - AI Content Detection
x402
KiteEndpoints.ai - AI Content Detection is a paid API for AI agents from kite-solana.vercel.app, paid per call via x402, $0.09/call, status unknown (last checked 2026-09-14).
Detects whether a given piece of text or content was generated by AI or written by a human
Price / call$0.09
Success—
StatusUnknown
How this service works
400+ paid API endpoints. Social media, AI, crypto, finance, weather, ecommerce, tools. Pay per request with USDC on Base chain.
Output
Returns a result object indicating whether the input content is AI-generated or human-written, typically including a probability or confidence score and a classification label.
Example use cases
Academic integrity check
“I need you to check if this student essay submission is AI-generated: 'Climate change represents one of the defining challenges of our era, requiring unprecedented cooperation between governments, businesses, and individuals to achieve meaningful reductions in carbon emissions.' Is it written by a human or AI?”
Content moderation for publishers
“We received a guest blog post submission and I need to verify it wasn't written by ChatGPT before we publish it — here's the text: 'Entrepreneurship is not merely about launching a product; it is about solving real problems for real people in sustainable and scalable ways.' Run an AI content detection check on it.”
SEO content authenticity audit
“Check whether this product description was AI-generated before we use it on our website: 'Our ergonomic standing desk features height-adjustable legs, a spacious bamboo surface, and whisper-quiet motors, making it the ideal workspace upgrade for productivity-focused professionals.'”
Technical details
Endpoint
POSThttps://kite-solana.vercel.app/api/ai-content-det6When to prefer
Choose this endpoint when you need a pay-per-request AI content detection check without a subscription, especially useful for one-off verification tasks or low-volume workflows. It is well-suited for agents that need to verify content authenticity on demand and pay with USDC on Base chain via x402 protocol.
Side effects
- Empty or missing text input returns an error
- Text too short to analyze may yield low-confidence or inconclusive results
- Overly generic or ambiguous content may produce uncertain classification
- Rate limiting or payment failures may block the request
- Non-English or mixed-language content may reduce detection accuracy
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| result | object | API response data |
Tags
x402
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