https://github.com/futuresearch/n8n-nodes-everyrow
n8n community node for Everyrow - AI-powered data operations
https://github.com/futuresearch/n8n-nodes-everyrow
Last synced: 5 months ago
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n8n community node for Everyrow - AI-powered data operations
- Host: GitHub
- URL: https://github.com/futuresearch/n8n-nodes-everyrow
- Owner: futuresearch
- License: mit
- Created: 2026-01-21T23:20:32.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-01-22T04:21:03.000Z (5 months ago)
- Last Synced: 2026-01-22T15:13:27.467Z (5 months ago)
- Language: TypeScript
- Size: 173 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# n8n-nodes-everyrow
This is an n8n community node for [Everyrow](https://everyrow.io) - AI-powered data operations for your workflows.
Everyrow enables you to perform intelligent data operations using AI, including ranking, deduplication, merging, screening, and research tasks.
[n8n](https://n8n.io/) is a [fair-code licensed](https://docs.n8n.io/reference/license/) workflow automation platform.
## Installation
Follow the [installation guide](https://docs.n8n.io/integrations/community-nodes/installation/) in the n8n community nodes documentation.
```bash
npm install n8n-nodes-everyrow
```
## Operations
### Data Operations
| Operation | Description |
|-----------|-------------|
| **Rank** | Score and rank rows based on AI-evaluated criteria. Useful for prioritizing leads, scoring content relevance, or ranking search results. |
| **Dedupe** | Remove duplicate rows using AI matching. Handles fuzzy matching, name variations, and semantic similarity. |
| **Screen** | Filter rows based on complex criteria that require AI understanding. Filter companies by funding stage, filter products by features, etc. |
| **Merge** | Join two tables using AI-powered matching. Merge customer lists, match products across databases, etc. |
### Agent Operations
| Operation | Description |
|-----------|-------------|
| **Agent Map** | Run an AI research agent on each row to enrich data with web research, analysis, or complex reasoning. |
## Credentials
To use this node, you need an Everyrow API key:
1. Sign up at [everyrow.io](https://everyrow.io)
2. Go to Settings > API Keys
3. Create a new API key
4. Add the credentials in n8n
## Example Workflows
### Rank Companies by AI Relevance
1. Add a data source node (Google Sheets, Airtable, etc.)
2. Add the Everyrow node with "Rank" operation
3. Set the task: "Score each company by their relevance to enterprise AI infrastructure"
4. Configure the field name and type for the score
5. Connect to your destination
### Deduplicate a Contact List
1. Import your contact list
2. Add the Everyrow node with "Dedupe" operation
3. Set the equivalence relation: "Two contacts are duplicates if they represent the same person, even if names are spelled differently or companies have changed"
4. Output the deduplicated list
### Research and Enrich Data
1. Add your data source
2. Add the Everyrow node with "Agent Map" operation
3. Set the task: "Research each company and find their latest funding round, founding year, and key products"
4. Define the response schema with the fields you want
5. Get enriched data with AI-researched information
## Configuration Options
### Common Options
- **Session Name**: Name for the Everyrow session (visible in dashboard)
- **Poll Interval**: How often to check task status (default: 2000ms)
- **Max Wait Time**: Maximum time to wait for completion (default: 600000ms / 10 min)
### Operation-Specific Options
Each operation has specific configuration options. See the node UI for details.
## Resources
- [Everyrow Documentation](https://docs.everyrow.io)
- [n8n Community Nodes Documentation](https://docs.n8n.io/integrations/community-nodes/)
- [Report Issues](https://github.com/futuresearch/n8n-nodes-everyrow/issues)
## License
[MIT](LICENSE)