Scavio for LangGraph Research Agent Search Grounding

The Problem

LangGraph research agents without search grounding produce reports based on training data, missing recent developments, pricing changes, and market shifts.

How Scavio Helps

• Live web data in research pipelines
• Parallel search across multiple platforms
• Structured results for LLM synthesis
• Evidence-based citations in reports
• Cost: $0.05-0.25 per research task

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "AI coding assistant market share 2026":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for LangGraph developers building research automation

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your langgraph research agent search grounding solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.