# Synergy Content Classifier

> Synergy Content Classifier is a paid API for AI agents from api.exo-trust.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Classifies text into topic tags and categories, and optionally performs sentiment analysis, returning confidence scores for each classification.

## Facts

- Endpoint: POST https://api.exo-trust.com/execute/classify
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/synergy-content-classifier-ffb16d58
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_K-yyhRvoFm3xOZC4KGWm4

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 synergy-content-classifier-ffb16d58 -d '<json body>'
```

Example prompt: Can you classify this customer review for me — tell me its topic tags, category, and whether the sentiment is positive, negative, or neutral with confidence scores: 'The onboarding was smooth but the pricing feels a bit steep for small teams.'

## When to prefer this

Choose this endpoint when you need combined topic tagging, category assignment, and optional sentiment analysis in a single call with confidence scores. It is particularly suited for pipelines that need to route, filter, or triage text content — such as support tickets, reviews, or articles — without building a custom classifier. Prefer this over general-purpose LLM prompting when you need structured, scored output that is consistent and cost-predictable at $0.05 per call.

## Known failure modes

- Empty or missing 'text' field causes a validation error
- Text that is too short or ambiguous may return low confidence scores
- Invalid values in the 'categories' array may be ignored or cause errors
- Very long texts may be truncated or rejected depending on token limits
- Non-English text may yield lower accuracy if multilingual support is limited

## How this service works

Classify content: topic tags, category, and sentiment with confidence scores.

## Output

Returns topic tags, a category label, and optionally a sentiment classification (positive, negative, or neutral), each accompanied by a confidence score indicating the model's certainty.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string"
  },
  "sentiment": {
   "type": "boolean"
  },
  "categories": {
   "type": "array",
   "items": {
    "type": "string"
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": {
   "tags": [
    "example"
   ],
   "category": "example",
   "sentiment": "example",
   "confidence": 1
  },
  "status": "completed",
  "receipt": {
   "amount": 0.05,
   "method": "x402",
   "settled": true,
   "currency": "USDC"
  },
  "task_id": "00000000-0000-0000-0000-000000000000"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/synergy-content-classifier-ffb16d58/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.exo-trust.com](https://www.zero.xyz/host/api.exo-trust.com/llms.txt)