# TrustAdd

> Use this tool when you need to assess the trustworthiness of AI agents or analyze cross-chain metrics and payment ecosystem adoption. TrustAdd provides a trust oracle with 0-100 scoring, verdicts, and analytics across 10 networks, including Ethereum and Polygon. It offers free tier access and higher rate limits with registered API keys, making it suitable for developers and researchers seeking reliable trust assessments and ecosystem insights.

Canonical page: https://skillsregistry.net/skills/all-the-new-trustadd  
JSON: https://api.skillsregistry.net/v1/skills/all-the-new-trustadd

## Description

Provides access to TrustAdd's AI agent trust oracle through three tool groups: trust assessment with 0-100 scoring and verdicts, MPP (Multi-Protocol Payment) ecosystem directory and adoption analytics, and cross-chain metrics across 10 networks including Ethereum, Polygon, Arbitrum, Base, and Tempo. Free tier access available without registration; higher rate limits via registered API keys from trustadd.com.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/all-the-new-trustadd)
- **Repository:** <https://github.com/all-the-new/trustadd-mcp>

## 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": "all-the-new-trustadd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/all-the-new-trustadd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/all-the-new-trustadd/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
