# audiencescore

> audiencescore — audiencescore-audiencescore. Use this tool when you need to verify the credibility of a vendor through a secure and trustworthy audience score. It solves the problem of fake or biased reviews by providing a signed and recomputable score manifest that can be verified without trusting the server. The tool takes a vendor query as input and returns a verified audience score as output, making it ideal for use cases where authenticity and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/audiencescore-audiencescore  
JSON: https://api.skillsregistry.net/v1/skills/audiencescore-audiencescore

## Description

Reference MCP server for the AudienceScore protocol: query a vendor's audience score (percent of verified thumbs-up over receipt-gated reviews) and get back a signed, recomputable score manifest an agent can verify without trusting the server.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/khi8ae6ghp)
- **Repository:** <https://github.com/audiencescore/audiencescore>

## 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": "audiencescore-audiencescore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/audiencescore-audiencescore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/audiencescore-audiencescore/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
