Features
Search posts on Twitter/X, Instagram, TikTok, Reddit
Filter posts by engagement metrics (likes, shares, comments)
Analyze viral content and engagement patterns
Sentiment analysis on social media posts
Retrieve profile info (follower counts, verification)
Continuous monitoring of tracked keywords and users
Historical data access with full archives
Cross-platform social listening and trend analysis
Influence mapping and network analysis
Bot network and coordination detection
Competitive intelligence and benchmark monitoring
Credit-based billing per query (not per row)
MCP server (Streamable HTTP, OAuth 2.1, event resumption)
TypeScript and Python SDKs
CLI tool for command-line access
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
