What is Pydantic AI?
Type-safe agent framework from the Pydantic team. Schema-first tool calling with typed dependencies and streaming support.
Searching Reddit Comments Tree with Pydantic AI
This integration lets your Pydantic AI agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, authors, scores, depth -- ready for reasoning and decision-making.
Setup
Bash
pip install pydantic-aiCode Example
Here is a complete Pydantic AI agent that searches Reddit Comments Tree using Scavio:
Python
# Generic HTTP integration for Pydantic AI
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/reddit/post/comments
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"post_id":"your search query","sort":"TOP"}
#
# Rows come back under data.comments.
#
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
Full Working Example
A production-ready example with error handling:
Python
# Generic HTTP integration for Pydantic AI
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/reddit/post/comments
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"post_id":"your search query","sort":"TOP"}
#
# Rows come back under data.comments.
#
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Pydantic AI integration. Paid plans start at $30/month for higher volumes.