# Qiniso

> Use this tool when you need to verify the accuracy of structured facts emitted by AI agents, such as financial or personal identifiers, to ensure reliability and trustworthiness. Qiniso validates these facts against checksums and authoritative data, solving problems related to data integrity and accuracy. It takes in unverified facts and outputs validated information, making it ideal for applications requiring high confidence in AI-generated data.

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

## Description

The deterministic fact-verification layer for AI agents. Validates the structured facts an agent emits — IBANs, payment cards, VAT and national tax IDs, crypto and bank addresses, domains, emails, phone numbers, securities and academic identifiers, plus dates, currencies and holidays — against checksums and curated authoritative data, not guesses.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kz4xrlkhqe)
- **Repository:** <https://github.com/qinisolabs/qiniso>

## 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": "qinisolabs-qiniso"
    }
  }
}
```

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