# x402.slinkylayer.ai Entity Sentiment Analysis

> x402.slinkylayer.ai Entity Sentiment Analysis is a paid API for AI agents from x402.slinkylayer.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-11).

Analyzes sentiment expressed about specific named entities within a provided text using Google's NLP provider

## Facts

- Endpoint: POST https://x402.slinkylayer.ai/api/v1/proxy/:id/entity-sentiment?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-slinkylayer-ai-entity-sentiment-analysis-d74bbde8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q5zighwzJVpOjybfpHAMp

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 x402-slinkylayer-ai-entity-sentiment-analysis-d74bbde8 -d '<json body>'
```

Example prompt: Analyze the entity-level sentiment in this text and tell me how positive or negative the feelings are about each named person, company, or product mentioned: 'Apple delivered a stunning keynote but Tim Cook seemed nervous, while analysts praised the new MacBook lineup.'

## When to prefer this

Choose this endpoint when you need sentiment broken down per named entity rather than a single document-level sentiment score. It is ideal for competitive analysis, brand monitoring, review mining, or news parsing where multiple entities appear and you need to know how each one is perceived individually. Prefer this over general sentiment endpoints when entity attribution matters, and over keyword extraction endpoints when emotional tone is the goal.

## Known failure modes

- Empty or missing text body returns 400 Bad Request
- Text exceeding provider character limits may return 413 or truncation error
- Non-JSON content-type headers cause parsing failures
- Proxy ID (:id) not found or unauthorized returns 404 or 403
- Google NLP API downstream outage returns 502 or 503
- Insufficient USDC balance or failed x402 payment returns 402 Payment Required
- Text with no recognizable named entities returns empty entity list

## How this service works

Accepts JSON input and analyzes the sentiment expressed about entities within the provided text using Google as the provider.

## Output

Returns a structured JSON response containing a list of entities detected in the text, each with their entity type (person, organization, location, etc.), a sentiment score (ranging from -1.0 very negative to 1.0 very positive), and a magnitude value indicating the strength of the sentiment. May also include salience scores indicating how prominent each entity is in the document.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-slinkylayer-ai-entity-sentiment-analysis-d74bbde8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.slinkylayer.ai](https://www.zero.xyz/host/x402.slinkylayer.ai/llms.txt)