Search API That Does Not Log Your Queries

The Problem

When you send a query to a search API, you are handing a third party a detailed log of what your users are asking, what your product is researching, and what your competitive intelligence pipeline is tracking. Most search API vendors log queries indefinitely for analytics, model training, or resale. For teams building in healthcare, legal, finance, or any privacy-sensitive domain, this is a non-starter. Even in less regulated industries, query logs represent a competitive intelligence leak that no one wants to think about until it becomes a problem. Tavily, SerpApi, and other providers have faced community scrutiny over data retention and query logging practices.

The Scavio Solution

Scavio does not log your queries or use them for any purpose beyond fulfilling the request. Query payloads are processed in memory, results are returned, and the request data is discarded. There is no analytics dashboard on our side that shows what your users searched for. There is no model training pipeline consuming your queries. Your usage metrics track credit consumption and error rates, not query content. For teams subject to HIPAA, SOC 2, or internal data-handling policies, this means the search layer does not introduce a new data-residency or data-processing concern.

Who It Is For

Privacy-conscious engineering teams in healthcare, legal, finance, and any domain where query data is sensitive. If your security review flagged a search vendor for query logging and you need an alternative that does not retain request data, this is it.

Key Benefits

• Zero query logging, queries are processed and discarded
• No model training on customer query data
• Usage metrics track credits and errors, not query content
• Compatible with HIPAA and SOC 2 data-handling requirements
• Eliminates competitive intelligence leak through vendor logs

Python Example

import requests

API_KEY = "your_scavio_api_key"

def private_search(query: str, platform: str = "google"):
    """Search without query logging on the provider side."""
    r = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY},
        json={"platform": platform, "query": query},
        timeout=10,
    )
    r.raise_for_status()
    data = r.json()
    return [
        {"title": o["title"], "link": o["link"], "snippet": o["snippet"]}
        for o in data.get("organic", [])[:5]
    ]

# Sensitive query stays private
results = private_search("patient treatment options diabetes type 2")
for r in results:
    print(r["title"])

JavaScript Example

const API_KEY = "your_scavio_api_key";

async function privateSearch(query, platform = "google") {
  const r = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: {
      "x-api-key": API_KEY,
      "content-type": "application/json",
    },
    body: JSON.stringify({ platform, query }),
  });
  if (!r.ok) throw new Error(`search failed: ${r.status}`);
  const data = await r.json();
  return (data.organic ?? []).slice(0, 5).map((o) => ({
    title: o.title,
    link: o.link,
    snippet: o.snippet,
  }));
}

// Sensitive query stays private
const results = await privateSearch("patient treatment options diabetes type 2");
for (const r of results) console.log(r.title);

Platforms Used