# sentiment-analyzer-x402

> sentiment-analyzer-x402 — br0ski777-sentiment-analyzer-x402. Use this tool when you need to analyze the emotional tone and sentiment of text data, such as customer reviews or social media posts, and extract key phrases to inform business decisions or understand user opinions. It takes in single texts or batches of up to 20 texts as input and outputs sentiment scores, emotion detection, confidence scores, and key phrases. Ideal for applications requiring accurate sentiment analysis, such as customer feedback analysis or social media monitoring, with a pay-per-call pricing model via x402 micropayments.

Canonical page: https://skillsregistry.net/skills/br0ski777-sentiment-analyzer-x402  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-sentiment-analyzer-x402

## Description

Provides sentiment analysis with emotion detection, confidence scores, and key phrase extraction for single texts or batches up to 20, using pay-per-call via x402 micropayments (USDC on Base L2).

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qgssmg8gun)
- **Repository:** <https://github.com/Br0ski777/sentiment-analyzer-x402>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "br0ski777-sentiment-analyzer-x402"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-sentiment-analyzer-x402` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-sentiment-analyzer-x402/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt