parallel-findall-cli
💡 Summary
A CLI tool for discovering entities based on complex criteria using the Parallel FindAll API.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; filesystem read/write scope and path traversal; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.
FindAll CLI
A command-line interface for the Parallel FindAll API that helps you discover and evaluate entities matching complex criteria.
Installation
npm install -g findall-cli
Or use directly with npx:
npx findall-cli run ./output "Find AI companies that raised Series A in 2024"
Installation into your coding agent (Claude, Cursor, etc.)
npx skills add janwilmake/parallel-findall-cli
Usage
Basic Usage
findall run <output-dir> <objective>
Example:
findall run ./results "Find all SaaS companies with SOC2 Type II certification"
With Options
# Specify API key findall run ./results "..." --api-key YOUR_API_KEY # Use different generator tier findall run ./results "..." --generator pro # Set match limit findall run ./results "..." --limit 100 # Skip interactive preview findall run ./results "..." --skip-preview --auto-approve
Environment Variables
export PARALLEL_API_KEY=your_api_key_here findall run ./results "Find companies..."
Workflow
The CLI follows this workflow:
- Ingest: Converts your natural language objective into a structured schema
- Preview: Shows the generated schema and allows editing
- Configure: Set generator tier, match limits, and other options
- Run: Executes the FindAll search with real-time progress
- Output: Saves results to specified directory
Interactive Schema Editor
The CLI provides an interactive editor to:
- View and modify the objective
- Change entity type
- Add, edit, or remove match conditions
- Preview the full JSON schema
Use arrow keys to navigate and follow the prompts.
Output Files
Results are saved to the specified output directory:
summary.json- Run metadata and statisticsmatches.json- All matched candidates with full detailscandidates.json- All evaluated candidates (matched and unmatched)schema.json- Final schema used for the runmatches.csv- CSV export of matched candidates
Options
| Option | Description | Default |
| ------------------------ | ----------------------------------------- | ------------------- |
| -k, --api-key <key> | Parallel API key | $PARALLEL_API_KEY |
| -g, --generator <tier> | Generator tier (base|core|pro|preview) | core |
| -l, --limit <number> | Initial match limit (5-1000) | 50 |
| --skip-preview | Skip schema preview | false |
| --auto-approve | Auto-approve schema without editing | false |
Examples
Find AI companies with specific criteria
findall run ./ai-companies \ "Find AI companies that raised Series A in 2024 and have at least 50 employees" \ --generator pro \ --limit 100
Find security-compliant SaaS companies
findall run ./saas-companies \ "Find SaaS companies with SOC2 Type II and ISO 27001 certifications" \ --generator core
Non-interactive mode
export PARALLEL_API_KEY=your_key findall run ./results "Your objective here" --skip-preview --auto-approve
Development
# Install dependencies npm install # Build npm run build # Run locally npm start run ./output "Test objective" # Watch mode npm run dev
API Documentation
This CLI uses the Parallel FindAll API. For detailed API documentation, see: https://api.parallel.ai/docs
License
MIT
Pros
- Flexible command-line interface for various queries
- Supports multiple output formats
- Interactive schema editor for customization
Cons
- Requires API key for full functionality
- May have a learning curve for new users
- Limited to the capabilities of the Parallel FindAll API
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author janwilmake.
