# Everyrow

> Use this tool when you need to transform, deduplicate, merge, rank, or screen data using natural language queries. It solves problems related to data manipulation and analysis by providing intelligent pandas dataframe operations based on qualitative criteria. The tool takes in a dataframe and natural language inputs, and outputs the modified dataframe, requiring an EVERYROW_API_KEY for authentication.

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

## Description

AI-powered dataframe operations for transforming, deduplicating, merging, ranking, and screening data with natural language. Built on the Everyrow API, it provides intelligent pandas dataframe operations using qualitative criteria. Requires an EVERYROW_API_KEY from everyrow.io.

## 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:** other
- **Updated:** 2026-05-26

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/everyrow)
- **Repository:** <https://github.com/futuresearch/futuresearch-python/tree/HEAD/everyrow-mcp>

## 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": "everyrow"
    }
  }
}
```

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