# slinkylayer.ai Entity Sentiment Analysis

> slinkylayer.ai Entity Sentiment Analysis is a paid API for AI agents from x402.slinkylayer.ai, paid per call via x402, $0.050000/call, status unknown (last checked 2026-09-14).

Analyzes sentiment expressed about specific entities within a given text using Google's Natural Language API as the underlying provider.

## Facts

- Endpoint: POST https://x402.slinkylayer.ai/api/v1/proxy/52cfaeea-3451-42f7-9f80-24911ae96430/entity-sentiment
- Price: $0.050000/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-slinkylayer-ai-1abc4f68
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_E1kx7aYjGBS0q1GHp_y1h

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-1abc4f68 -d '<json body>'
```

Example prompt: Can you analyze this customer review and tell me how positive or negative the sentiment is for each specific entity mentioned: 'The iPhone camera was stunning but the battery life was absolutely terrible and Apple support was unhelpful'?

## When to prefer this

Choose this endpoint when you need granular, entity-level sentiment rather than document-level sentiment — for example, when a review mentions multiple products, people, or brands and you need to know how each one is perceived independently. Prefer this over generic sentiment endpoints when the output needs to be attributed to specific named entities in the text.

## Known failure modes

- Missing required 'text' field returns validation error
- Missing required 'requested_service' field returns validation error
- Empty or very short text may yield no entities detected
- Text in unsupported languages may produce inaccurate or empty results
- Payment failure or insufficient USDC balance returns 402 error
- Rate limiting or quota exhaustion on Google backend returns 429 or 503

## 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 sentiment scores and magnitudes for each named entity detected in the input text, indicating whether the expressed opinion about each entity is positive, negative, or neutral, along with confidence or magnitude values powered by Google's NLP engine.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text",
  "requested_service"
 ],
 "properties": {
  "text": {
   "type": "string"
  },
  "requested_service": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "input": {
  "type": "http",
  "method": "POST",
  "bodyType": "json",
  "bodyFields": {
   "text": {
    "type": "string",
    "required": true
   },
   "google": {
    "type": "object",
    "required": false,
    "properties": {
     "key": {
      "type": "string"
     }
    }
   },
   "encoding": {
    "type": "string",
    "required": false
   },
   "requested_service": {
    "type": "string",
    "required": true
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-slinkylayer-ai-1abc4f68/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)