# ai.jawz/jawz

> ai.jawz/jawz — ai-jawz-jawz. Use this tool when you need to access live macro data for informed decision-making, as it provides regime, conditions, and liquidity insights with transparent input provenance. It solves problems related to data accuracy and reliability, supporting use cases such as market analysis and predictive modeling. The tool offers a straightforward interface with no signup required, making it ideal for AI agents seeking instant, trustworthy data inputs.

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

## Description

Live macro data for AI agents: regime, conditions, liquidity, with input provenance. No signup.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.jawz%2Fjawz)

## Use it

MCP endpoint published by the skill: `https://jawz.ai/api/mcp`

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": "ai-jawz-jawz"
    }
  }
}
```

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