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.
MCP Integration
Configure the ReddGrow CLI as an MCP server so Claude Desktop can call Reddit endpoints directly as tools during conversations.
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.