# Tanod utilpeek Sentiment Analysis

> Tanod utilpeek Sentiment Analysis is a paid API for AI agents from tanod.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).

Analyzes the sentiment of English text using VADER, returning a compound score and sentiment label (positive/negative/neutral).

## Facts

- Endpoint: POST https://tanod.dev/v1/text/sentiment?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tanod-utilpeek-sentiment-analysis-9287ee7e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IsqoDbAtQJaEwAHtbi5_T

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 tanod-utilpeek-sentiment-analysis-9287ee7e -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this customer review and tell me the VADER compound score and whether it's positive, negative, or neutral: 'The product arrived quickly but the packaging was completely crushed and customer support never responded to my complaint.'

## When to prefer this

Choose this endpoint when you need fast, rule-based English sentiment scoring via VADER with a simple compound score and label, especially useful for short texts like reviews, tweets, or comments. Prefer this over ML-based alternatives when you want deterministic, explainable scores without GPU latency. The per_sentence option is ideal when you need fine-grained sentiment broken down by sentence within a longer document.

## Known failure modes

- Empty or whitespace-only text input rejected (minLength:1)
- Text exceeding 200,000 characters rejected
- Non-English text may produce inaccurate or unreliable sentiment scores since VADER is English-only
- Payment failure or insufficient USDC balance returns a 402 error
- Malformed JSON request body returns a 400 error

## How this service works

One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.

## Output

Returns a VADER compound score (a float between -1.0 and 1.0) and a sentiment label (positive, negative, or neutral). If per_sentence is enabled, the response also includes individual scores and labels for each sentence in the input text.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "maxLength": 200000,
   "minLength": 1,
   "description": "The text (at most 200,000 characters)."
  },
  "per_sentence": {
   "type": "boolean",
   "default": false,
   "description": "Also score each sentence (default false: whole text only)."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "label": "negative",
  "method": "VADER lexicon and rules (heuristic; English only). Document score = mean of sentence scores. Labels: compound >= 0.05 positive, <= -0.05 negative. Misses sarcasm, domain jargon and non-English text; not a trained model.",
  "source": {
   "url": "https://github.com/cjhutto/vaderSentiment",
   "library": "vaderSentiment 3.3.2",
   "license": "MIT"
  },
  "neutral": 0.509,
  "compound": -0.3716,
  "language": "en",
  "negative": 0.302,
  "positive": 0.189,
  "sentences": 1,
  "input_truncated": false
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tanod-utilpeek-sentiment-analysis-9287ee7e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from tanod.dev](https://www.zero.xyz/host/tanod.dev/llms.txt)