Parallel Web Systems + Google Scholar

What is Parallel Web Systems?

Parag Agrawal's web infrastructure for AI agents — a suite of search and research APIs targeting investment research, insurance claims, contract analysis, and other long-horizon agentic tasks. Raised $100M Series B at $2B valuation in April 2026, led by Sequoia, with customers including Clay, Harvey, Notion, and Opendoor. Pair Scavio HTTP with Parallel when an agent needs both deep enterprise research workflows and structured multi-platform SERP/Reddit/YouTube/Amazon signals. Different layers, different jobs.

Searching Google Scholar with Parallel Web Systems

This integration lets your Parallel Web Systems agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper title, authors, citation count, abstract snippet — ready for reasoning and decision-making.

Setup

// fetch('https://api.scavio.dev/api/v1/search', { headers: { 'x-api-key': 'KEY' } })

Code Example

Here is a complete Parallel Web Systems agent that searches Google Scholar using Scavio:

# Generic HTTP integration for Parallel Web Systems
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Full Working Example

A production-ready example with error handling:

# Generic HTTP integration for Parallel Web Systems
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Pricing

Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your Parallel Web Systems integration. Paid plans start at $30/month for higher volumes.