# Manifold

> Use this tool when you need to forecast events or make predictions on uncertain outcomes, and want to leverage a platform that enables browsing markets, placing predictions, and tracking forecasting accuracy. Manifold solves problems related to decision-making under uncertainty, providing a platform for users to test their forecasting skills and gain insights from collective predictions. It takes in user predictions and event outcomes as inputs, and outputs forecasting accuracy and market trends.

Canonical page: https://skillsregistry.net/skills/manifold  
JSON: https://api.skillsregistry.net/v1/skills/manifold

## Description

Prediction market platform for forecasting events. Browse markets, place predictions, and track forecasting accuracy.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-10

## Source

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

## 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": "manifold"
    }
  }
}
```

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

---
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