Guides
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 read the current feed, top content and comment stream, and to check whether your topic has already been discussed. Covers 4 reads 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. Also explains the async job flow every Reddit read uses.
Batch Operations
Create many Reddit read jobs at once and poll them in parallel, so large research runs finish in the time of the slowest job.
Credit Optimization
A decision tree, limit advice 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
Reddit reads are priced per Reddit page fetched, so cost scales with limit (default 25, max 100).
| Operation type | Cost |
|---|---|
Job status (GET /v1/reddit/jobs/{id}) | 0 credits |
| Subreddit posts, post comments | 2 credits flat |
| Subreddit comments, user comments | 2 credits per 25 items |
| User posts | 1 credit per page (about 20 items) |
| Search | 1 credit per 7 results (4 credits at the default limit) |
| Domain mentions | 5 credits per 25 results |
See Credits for the full breakdown.