Sentiment Analyzer X402
Sentiment Analyzer API
Sentiment analysis with emotion detection, confidence scores, and key phrase extraction. Single or batch mode. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 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.):
{
"mcpServers": {
"sentiment-analyzer": {
"url": "https://sentiment-analyzer.api.klymax402.com/mcp"
}
}
}
Quickstart -- HTTP (x402)
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, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
Tools
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
text_analyze_sentiment | POST | /api/analyze | $0.005 | Analyze sentiment of a single text |
text_analyze_sentiment_batch | POST | /api/analyze/batch | $0.04 | 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 0-100emotions-- detected emotions with scores (joy, anger, fear, surprise, sadness)keyPhrases-- array of phrases driving the sentimentscore-- numeric sentiment score from -1.0 (negative) to 1.0 (positive)
Example response:
{"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 textaverageSentiment-- overall average sentiment score across all textsdistribution-- count of positive/negative/neutral texts
Example response:
{"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 -- 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 (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
Server Config
{
"mcpServers": {
"sentiment-analyzer": {
"url": "https://sentiment-analyzer-production-b1f6.up.railway.app/mcp",
"transport": "sse"
}
}
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