Sentiment Analyzer API
Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.
Open source Repository Open in the app JSON README (API)
About
Analyze text sentiment, emotions, confidence scores, and key phrases. x402 USDC.
Details
- Kind
- MCP servers
- Topic
- Finance & crypto
- Publisher
- br0ski777
- Origin
- official
- Category
- ferramentas
- Transport
- sse
- Version
- 1.1.0
- Last push
- 2026-09-02T19:57:14Z
- Repository state
- ativo
- Language
- TypeScript
- License
- MIT
- Added
- 2026-08-29 03:01:43
- Updated
- 2026-08-29 03:01:43
- Origin id
io.github.Br0ski777/sentiment-analyzer
README
# Sentiment Analyzer API
[](https://sentiment-analyzer.api.klymax402.com/mcp)
[](https://x402.org)
[](LICENSE)
Sentiment analysis with emotion detection, confidence scores, and key phrase extraction. Single or batch mode. Pay-per-call via [x402](https://x402.org) (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the [klymax402](https://klymax402.com) marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
## Quickstart -- MCP
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
```json
{
"mcpServers": {
"sentiment-analyzer": {
"url": "https://sentiment-analyzer.api.klymax402.com/mcp"
}
}
}
```
## Quickstart -- HTTP (x402)
```bash
curl -X POST "https://sentiment-analyzer.api.klymax402.com/api/analyze" \
-H "Content-Type: application/json" \
-d '{"text":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response body
```
Any x402-aware client ([`@x402/fetch`](https://www.npmjs.com/package/@x402/fetch), [`x402-agent-tools`](https://www.npmjs.com/package/x402-agent-tools), ATXP) handles the 402 -> sign -> retry cycle automatically.
## Tools
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
| `text_analyze_sentiment` | POST | `/api/analyze` | $0.015 | Analyze sentiment of a single text |
| `text_analyze_sentiment_batch` | POST | `/api/analyze/batch` | $0.10 | Analyze sentiment of up to 20 texts in batch |
### `text_analyze_sentiment`
Use this when you need to determine the emotional tone and sentiment of text. Returns structured sentiment analysis with emotion breakdown and key drivers.
**Parameters**
| Name | Type | Required | Description |
|---|---|---|---|
| `text` | string | yes | The text to analyze for sentiment |
**Returns**
- `sentiment` -- overall sentiment label (positive, negative, neutral)
- `confidence` -- confidence score 0-100
- `emotions` -- detected emotions with scores (joy, anger, fear, surprise, sadness)
- `keyPhrases` -- array of phrases driving the sentiment
- `score` -- numeric sentiment score from -1.0 (negative) to 1.0 (positive)
Example response:
```json
{"sentiment":"positive","confidence":87,"score":0.73,"emotions":{"joy":0.82,"surprise":0.15,"anger":0.01,"fear":0.01,"sadness":0.01},"keyPhrases":["excellent results","exceeded expectations"]}
```
**When to use**: responding to customer feedback, reviews, or social media mentions. Essential for brand monitoring, support ticket triage, and content tone analysis.
### `text_analyze_sentiment_batch`
Use this when you need to analyze sentiment of multiple texts at once (up to 20). Returns an array of individual sentiment results in one call.
**Parameters**
| Name | Type | Required | Description |
|---|---|---|---|
| `texts` | array | yes | Array of texts to analyze (max 20) |
**Returns**
- `results` -- array of sentiment objects, one per input text
- `averageSentiment` -- overall average sentiment score across all texts
- `distribution` -- count of positive/negative/neutral texts
Example response:
```json
{"results":[{"sentiment":"positive","confidence":91,"score":0.8},{"sentiment":"negative","confidence":74,"score":-0.6}],"averageSentiment":0.1,"distribution":{"positive":1,"negative":1,"neutral":0}}
```
**When to use**: bulk analysis of reviews, survey responses, or social media feeds. Essential when comparing sentiment across multiple data points.
## Example agent prompts
- "Determine the emotional tone and sentiment of text"
- "Analyze sentiment of multiple texts at once (up to 20)"
## Payment
- Protocol: [x402](https://x402.org) -- HTTP-native pay-per-call, no signup, no API key
- Network: Base L2 (`eip155:8453`)
- Asset: USDC
- Facilitator: Coinbase CDP (primary), PayAI (fallback)
- Also reachable via [ATXP](https://atxp.ai) (OAuth-wrapped x402, RFC 9728 protected-resource metadata)
## Part of klymax402
100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
- Catalog: https://klymax402.com/llms.txt
- Full API reference: https://klymax402.com/llms-full.txt
- Live stats: https://klymax402.com/stats
## License
MIT