ReddGrow DocsGuides
Tutorials for common AI agent workflows
These guides walk through real-world patterns for using ReddGrow in AI agents and automation pipelines. Each guide is self-contained and shows both API and CLI approaches.
Available guides
Subreddit Research
Before posting or engaging in a community, use the API to understand the subreddit's rules, top content, and whether your URL has already been shared. Covers 5 endpoints in a logical research sequence.
Domain Monitoring
Track every Reddit mention of your domain in real time. Includes filtering by score, deduplication, and a cron-based automation setup.
AI Agent Integration
Three patterns for wiring ReddGrow into an AI agent: CLI mode for piping JSON context, direct API calls inside tool use, and MCP for Claude Desktop.
Batch Operations
Fetch up to 25 posts in a single request instead of making individual calls. Covers when batching saves credits versus when it costs more.
Credit Optimization
A decision tree and caching strategy for getting the most out of your credit budget. Includes a full cost reference table and recommended TTLs.
ReddGrow MCP Server
Connect the ReddGrow MCP server to Claude.ai, Cursor, VS Code, or any MCP-compatible client so AI assistants can manage campaigns, drafts, and brand monitoring directly.
Credit costs at a glance
| Operation type | Cost |
|---|---|
| Lookup (about, rules, profile) | 1 credit |
| List (posts, comments) | 2 credits |
| Search | 3 credits |
| Heavy / batch | 5 credits |
See Credits for the full breakdown.