# DataCompute Agent

> DataCompute Agent — 0xconsole-datacompute-agent. Use this tool when you need to automate data analysis and computation on decentralized datasets. The DataCompute Agent solves problems related to data quality, anomaly detection, and statistical analysis by fetching datasets from IPFS/Filecoin, performing computations, and storing results via Multi-Chain Storage simulation. It takes in datasets as input and outputs computed results, making it ideal for use cases that require autonomous data processing and analysis in decentralized environments.

Canonical page: https://skillsregistry.net/skills/0xconsole-datacompute-agent  
JSON: https://api.skillsregistry.net/v1/skills/0xconsole-datacompute-agent

## Description

An autonomous MCP server that fetches datasets from IPFS/Filecoin, performs computation (anomaly detection, statistics, data quality scoring), and stores results via Multi-Chain Storage simulation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qoj2svxr0w)
- **Repository:** <https://github.com/0xConsole/datacompute-agent>

## 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": "0xconsole-datacompute-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xconsole-datacompute-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xconsole-datacompute-agent/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
