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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Quadratic Multiplayer
✓ verifiedFreemium
AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.
119K visits/mo
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SQLAI.ai
✓ verifiedPaid
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
26K visits/mo2.7K saves
Pricing
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Unlocker API: Starts from $1.05/1k req
Crawl API: Starts from $1.05/1k req
SERP API: Starts from $1.05/1k req
Browser API: Starts from $5.88/GB
Scrapers: Starts from $300/mo
Datasets: Starts from $250/mo
Functions: Starts from $2.7/1k req
RetailInsights: Starts from $1,000/mo
Residential Proxies: Starts from $3.53/GB
Datacenter Proxies: Starts from $0.9/IP
ISP Proxies: Starts from $1.3/IP
Mobile Proxies: Starts from $5.88/GB
Custom Scraper: Starts from $300/mo
Pro: $18/user/month billed annually ($20 AI credits/mo)
Business: $36/user/month billed annually (2x AI credits)
Hobby: $4/mo (50 queries/month)
Starter: $6/mo (200 queries/month)
Explorer: $10/mo (1,000 queries/month)
Pro: $20/mo (3,000 queries/month)
Free trial available
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
- ✦Multi-engine support (Google, Duckduckgo, Bing, Yandex, Baidu)
- ✦Real-time structured SERP data
- ✦Pay-per-successful-request pricing
- ✦Full JavaScript support
- ✦Precise geo-location targeting
- ✦Structured data delivery in JSON or HTML
- ✦Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
- ✦Imports CSV, Excel and PDF files alongside database connections
- ✦AI agent writes formulas, code and charts from plain-English prompts
- ✦Supports Python, SQL, formulas and JavaScript in the same sheet
- ✦Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
- ✦MCP support so external AI agents can read/write spreadsheet cells
- ✦REST API for triggering AI runs and manipulating cells programmatically
- ✦Scheduled tasks and PDF data extraction
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
- →Organic keyword tracking
- →Brand protection
- →Price comparison
- →Market research
- →Detect copyright infringements
- →Ad intelligence
- →Finance teams building recurring, auditable financial reports
- →Analysts combining multiple data sources into one live dashboard
- →Traders and investors tracking market and portfolio data
- →Product and sales teams generating forecasts and charts without formulas
- →Teams wanting an AI agent to verify and edit spreadsheet work directly
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
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