ai

Scavio for Multi-Platform Search API as AI Agent Tool

Equip AI agents with a single search tool that covers Google, Reddit, YouTube, Amazon, TikTok, and Walmart. Replace multiple API integrations with one credit-based endpoint that the agent calls based on task context.

The Problem

AI agents that need web data typically integrate multiple APIs: one for Google search, another for Reddit, another for e-commerce data. Each API has different auth, different schemas, and different billing. A single multi-platform search tool simplifies agent architecture and reduces integration maintenance.

How Scavio Helps

  • One API key covers 6+ platforms
  • Consistent JSON schema across all platforms
  • Credit-based pricing ($0.005/query) regardless of platform
  • MCP server available for direct agent integration
  • Structured data reduces token usage vs raw HTML fetching

Relevant Platforms

Google

Web search with knowledge graph, PAA, and AI overviews

Reddit

Community, posts & threaded comments from any subreddit

YouTube

Video search with transcripts and metadata

Amazon

Product search with prices, ratings, and reviews

TikTok

Trending video, creator, and product discovery

Walmart

Product search with pricing and fulfillment data

Quick Start: Python Example

Here is a quick example searching Google for "A research agent needs to answer 'What is the best budget standing desk in 2026?' It calls 3 searches: Google for reviews ($0.005), Amazon for pricing ($0.005), Reddit for user opinions ($0.005). Total: $0.015 for a grounded, multi-source answer. Without a multi-platform API: 3 separate integrations, 3 auth systems, 3 billing dashboards. With Scavio: 1 API key, 1 schema, 1 dashboard.":

Python
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 agent developers, LangChain/CrewAI builders, MCP server developers, RAG pipeline engineers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your multi-platform search api as ai agent tool 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.

Frequently Asked Questions

Equip AI agents with a single search tool that covers Google, Reddit, YouTube, Amazon, TikTok, and Walmart. Replace multiple API integrations with one credit-based endpoint that the agent calls based on task context. The API returns structured JSON that you can process programmatically or feed into an AI agent for automated analysis.

For multi-platform search api as ai agent tool, use the Google Search, reddit, YouTube Search, Amazon Search, tiktok, Walmart Search endpoints. Each request costs 1 credit.

Yes. Scavio handles all the infrastructure — proxies, rate limits, CAPTCHAs, and anti-bot detection. Paid plans support up to 100K+ credits/month with priority support and higher rate limits.

Absolutely. Scavio integrates with LangChain, CrewAI, LlamaIndex, AutoGen, and any framework that can make HTTP requests. Build an agent that searches, analyzes, and acts on multi-platform search api as ai agent tool data automatically.

Build Your Multi-Platform Search API as AI Agent Tool Solution

250 free credits/month. No credit card required. Start building with Google, Reddit, YouTube, Amazon, TikTok, Walmart data today.