# PreReason

> Use this tool when you need to empower your AI with financial context and insights, solving the problem of raw data interpretation and enabling informed decision-making. PreReason provides a pre-reasoned briefing with trend signals, confidence scores, and causal narratives through a simple API call, accepting various inputs and outputting concise Markdown or JSON outputs. Ideal for use cases requiring financial data analysis, such as cryptocurrency trend analysis or macroeconomic indicator interpretation.

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

## Description

Financial context your AI actually understands.

Your agent stops guessing. Numbers are AI's weakest input. PreReason delivers language, its strongest skill. One API call returns a pre-reasoned briefing with trend signals, confidence scores, regime classification, and causal narratives. Not raw data to parse. Context to act on.

**17 briefings** - BTC price, on-chain, mining economics, macro indicators (Fed, M2, yields, VIX, DXY) analyzed as BTC relationship signals

**30 metrics** - each with signal interpretation, 7d/30d/90d trends, percentile rankings, and momentum

**6 agent prompts** - daily briefing, risk check, mining profitability, regime classification, correlation scan, weekly recap

Markdown output (~60% fewer tokens) or structured JSON. Sub-second latency. Free tier with no credit card.

* Website: https://www.prereason.com
* API Docs: https://api.prereason.com/api/docs
* Pricing: https://www.prereason.com/pricing

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-29

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/prereason/briefings)

## 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": "prereason-briefings"
    }
  }
}
```

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