Scavio for Local LLM Search Grounding via API

The Problem

Locally-hosted LLMs have no web access and hallucinate on current events, pricing, and factual queries. Without search grounding, local models are limited to their training data cutoff.

How Scavio Helps

• Web grounding for any local LLM with function calling
• Structured SERP data compatible with tool call responses
• Six platforms provide comprehensive grounding context
• Free 250 credits/month for local model experimentation
• MCP server at mcp.scavio.dev/mcp for direct integration

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "local llm search grounding api web access ollama 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 Teams running local LLMs (Ollama, vLLM, llama.cpp), privacy-focused AI builders, and developers extending local models with web data

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your local llm search grounding via api 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.