Scavio for Multi-Agent Critic Search Grounding

The Problem

Critic agents in multi-agent systems can only check internal consistency without live data access, meaning they pass through confident hallucinations about prices, features, and dates that contradict reality.

How Scavio Helps

• Critic agent verifies factual claims against live web data
• Structured JSON enables deterministic verification logic
• Works with LangGraph, CrewAI, AutoGen, and custom loops
• Per-query pricing makes verification loops cost pennies
• Catches hallucinations that internal consistency checks miss

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "multi-agent critic verification search API grounding 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 AI engineers building multi-agent systems, teams using LangGraph or CrewAI, and researchers working on agent verification patterns

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your multi-agent critic 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.