Scavio for Hermes Agent with Search Grounding

The Problem

Hermes Agent and similar open-weight models hallucinate freely on current events, pricing, and recent releases. Function calling works but models need a reliable search tool to ground responses in real data. Most search integrations break on Cloudflare-protected sites.

How Scavio Helps

• Search tool returns structured JSON that function-calling models parse natively
• Bypasses Cloudflare -- no blocked requests unlike direct web scraping
• Model grounds factual claims in live search results instead of hallucinating
• Free 250 credits/month for development and testing
• MCP or REST API integration: choose the pattern that fits your agent framework

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "hermes agent function calling web search tool setup":

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 Developers using Hermes Agent, Nous Research models, or other open-weight function-calling LLMs in production

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