# JigsawStack Sentiment Classification

> JigsawStack Sentiment Classification is a paid API for AI agents from zero-jigsaw.zclk.cc, price unknown, status down (last checked 2026-10-17).

Classifies the sentiment (positive, negative, neutral) of a given text snippet using JigsawStack's NLP AI.

## Facts

- Endpoint: POST https://zero-jigsaw.zclk.cc/v1/sentiment?utm_source=zero.xyz
- Price: price unknown
- Status: down
- Last checked: 2026-10-17
- Activations on Zero: 0
- Provider: zero-jigsaw.zclk.cc
- Website: https://zero-jigsaw.zclk.cc
- Canonical page: https://www.zero.xyz/c/zero-jigsaw-zclk-cc-sentiment-8731e628
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zTJs0CxMT6Dv9zwuLfLmn

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 zero-jigsaw-zclk-cc-sentiment-8731e628 -d '<json body>'
```

Example prompt: Classify the sentiment of this customer review for me and tell me if it's positive, negative, or neutral: 'The onboarding was smooth but the pricing feels way too high for what you get.'

## When to prefer this

Choose this endpoint when you need fast, pay-per-call sentiment classification without managing your own NLP infrastructure. Ideal for agents processing user reviews, support tickets, social media posts, or any short text where knowing positive/negative/neutral tone is sufficient. Prefer this over embedding-based approaches when you need a direct label rather than a vector representation.

## Known failure modes

- Empty or missing text input returns a validation error
- Text exceeds maximum supported length causing a 400 or truncation error
- Unknown pricing or USDC payment failure blocks the request
- Model unavailable or JigsawStack backend error returns 500
- Non-text or binary input causes parsing failure

## How this service works

Sentiment classification on a text snippet.

## Output

Returns a JSON object containing the sentiment classification (e.g. positive, negative, neutral) and likely a confidence score or probability for the given text snippet.

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/zero-jigsaw-zclk-cc-sentiment-8731e628/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from zero-jigsaw.zclk.cc](https://www.zero.xyz/host/zero-jigsaw.zclk.cc/llms.txt)