# KiteEndpoints.ai - News Sentiment Analysis

> KiteEndpoints.ai - News Sentiment Analysis is a paid API for AI agents from kite-endpoints.vercel.app, paid per call via x402, $0.08/call, status unknown (last checked 2026-09-15).

Analyzes the sentiment of news articles or headlines, returning positive, negative, or neutral classification with confidence signals

## Facts

- Endpoint: POST https://kite-endpoints.vercel.app/api/sentiment/news
- Price: $0.08/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/kiteendpoints-ai-news-sentiment-analysis-ee06d86a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JxP60o9a6cLWdlpBaf4NC

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability kiteendpoints-ai-news-sentiment-analysis-ee06d86a -d '<json body>'
```

Example prompt: Analyze the sentiment of this news article for me: 'Tesla announces record quarterly earnings, beating analyst expectations by 20%, sending shares up 8% in after-hours trading.' Is it positive, negative, or neutral, and how confident are you?

## When to prefer this

Choose this endpoint when you need quick, pay-per-use sentiment scoring on news content without committing to a subscription NLP service. It is well-suited for agents that sporadically analyze financial or general news headlines and want per-request USDC billing on Base chain rather than monthly API subscriptions. Prefer alternatives with richer schemas if you need entity-level sentiment, aspect-based analysis, or domain-specific financial NLP models.

## Known failure modes

- Empty or missing news text input returns an error or ambiguous result
- Extremely short or ambiguous headlines may yield low-confidence or unreliable classifications
- Non-English news content may not be accurately classified if the model is English-only
- Rate limiting or payment failures via x402/USDC may block the request
- Generic schema may not surface granular sub-sentiment categories (e.g., fear, excitement)

## 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 sentiment classification (positive, negative, or neutral) for the submitted news content, typically accompanied by a confidence score or sentiment intensity value. The response is structured as a result object containing the classification data.

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "example": {
  "result": {
   "data": "example response"
  }
 },
 "properties": {
  "result": {
   "type": "object",
   "description": "API response data"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/kiteendpoints-ai-news-sentiment-analysis-ee06d86a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from kite-endpoints.vercel.app](https://www.zero.xyz/host/kite-endpoints.vercel.app/llms.txt)