What is Pydantic AI?
Type-safe agent framework from the Pydantic team. Schema-first tool calling with typed dependencies and streaming support.
Searching Google Scholar with Pydantic AI
This integration lets your Pydantic AI agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper titles, paper URLs, SERP snippets -- ready for reasoning and decision-making.
Setup
Bash
pip install pydantic-aiCode Example
Here is a complete Pydantic AI agent that searches Google Scholar using Scavio:
Python
# Generic HTTP integration for Pydantic AI
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v2/google
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query"}
#
# Rows come back under organic_results.
#
# Scavio has no Google Scholar endpoint, so citation counts and author lists are not available. This runs a Google web search - narrow it with site:arxiv.org or filetype:pdf.
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/v2/google
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query"}
#
# Rows come back under organic_results.
#
# Scavio has no Google Scholar endpoint, so citation counts and author lists are not available. This runs a Google web search - narrow it with site:arxiv.org or filetype:pdf.
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.