# Reexpress SDM Verification

> Use this tool when you need to statistically verify the accuracy of large language model (LLM) responses, particularly in software development and data science workflows. It solves the problem of uncertainty in LLM outputs by providing robust uncertainty estimates through a Similarity-Distance-Magnitude (SDM) estimator that ensembles multiple models. The tool takes user questions and AI responses as input and outputs verification probabilities with calibrated reliability indicators.

Canonical page: https://skillsregistry.net/skills/reexpress-sdm-verification  
JSON: https://api.skillsregistry.net/v1/skills/reexpress-sdm-verification

## Description

Reexpress MCP Server provides statistical verification for LLM responses using a Similarity-Distance-Magnitude (SDM) estimator that ensembles multiple models (gpt-4.1, o4-mini, text-embedding-3-large) to calculate robust uncertainty estimates against a database of over 100,000 examples. Developed by Reexpress AI for Claude 3.7 Sonnet on Apple silicon Macs, it features dynamic model adaptation through ReexpressAddTrue/ReexpressAddFalse tools, conservative file access controls, and a verification pipeline that processes user questions and AI responses to determine verification probability with calibrated reliability indicators. The server is particularly valuable for software development and data science workflows where users need a statistically robust second opinion on complex LLM outputs.

## Trust

- **Trust score (0–1):** 0.20
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/reexpress-sdm-verification)
- **Repository:** <https://github.com/reexpressai/reexpress_mcp_server>

## 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": "reexpress-sdm-verification"
    }
  }
}
```

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