The Problem
LLM-based agents confidently generate outdated or fabricated facts when answering questions about current events, pricing, product specs, or competitor data. Without live data grounding, every agent response is a liability.
The Scavio Solution
Insert a Scavio search call before the LLM generates its final answer. The agent queries real-time SERP data, injects verified facts into the prompt context, and produces grounded responses with source URLs the user can verify.
Before
AI agent returns plausible but incorrect answers about current pricing, release dates, or product availability. Users lose trust after catching multiple errors.
After
Agent pre-fetches live search results, grounds every factual claim in a real source, and includes citation links so users can verify independently.
Who It Is For
AI agent developers building coding assistants and research tools.
Key Benefits
- Eliminates hallucinated facts with real-time search grounding
- Source URLs attached to every factual claim
- Works with any LLM backend via simple API injection
- Reduces user trust erosion from incorrect agent outputs
Python Example
import requests
def ground_agent_response(question: str) -> dict:
search_resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": SCAVIO_API_KEY, "Content-Type": "application/json"},
json={"query": question, "platform": "google", "limit": 5}
)
sources = search_resp.json().get("results", [])
context = "\n".join(
f"- {s['title']}: {s['snippet']} ({s['link']})" for s in sources
)
return {
"grounded_context": context,
"source_urls": [s["link"] for s in sources],
"prompt_injection": f"Use ONLY these verified sources:\n{context}"
}
grounding = ground_agent_response("What is the current price of GPT-4o API?")
print(grounding["prompt_injection"])JavaScript Example
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
fetch('https://api.scavio.dev/api/v1/search', {method: 'POST', headers: H, body: JSON.stringify({query: 'example', country_code: 'us'})}).then(r => r.json()).then(d => console.log(d.organic_results?.length + ' results'));Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit