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 (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.