Scavio AI
Search API for AI agentsOne API, many platforms, JSON out
Highlights
What you can do with it
- An AI shopping assistant compares prices and stock across platforms.
- A research agent pulls articles, videos, and discussions on a topic.
- A brand monitoring agent tracks mentions and sentiment on Reddit.
How to use it
- 1 Register an account on the Scavio site.
- 2 Get an API key from account settings.
- 3 Choose a free or paid plan and integrate the SDK or REST API.
- 4 Send a search request with the target platform and query, then parse the JSON.
Who it is for
Pros
- One integration replaces several platform-specific scrapers.
- Structured JSON and multiple SDK examples speed up setup.
- A free tier with 250 monthly credits allows real testing.
Limitations
- Free credits are limited, and paid plans run from $30 to $500 per month.
- Pricing, credit costs, and rate limits can change without notice.
- You must respect the terms of service of every platform you query.
What Scavio AI is
Scavio is a real-time search API designed for AI agents and developers. The problem it addresses is straightforward: large language models have a knowledge cutoff, so an agent that needs current product prices, recent videos, or live community discussion has no way to get it. Scavio answers that with a single API that searches major platforms including Google, Amazon, YouTube, Walmart, and Reddit, and returns structured JSON that a model can parse without cleaning up markup. The listing claims millisecond-level responses from optimised infrastructure, an advanced ranking algorithm for relevance, a 99.9% uptime agreement, encrypted API keys with rate limiting, and scaling from a thousand requests to millions. Integration is meant to take minutes, with an official Python SDK, a REST API, and examples in JavaScript and cURL, plus connections to frameworks such as Claude, Cursor, Windsurf, VS Code, and ChatGPT.
What you can do with it
- Search several platforms through one endpoint instead of separate scrapers.
- Get clean structured JSON back for direct use in an agent pipeline.
- Build shopping, research, or brand monitoring agents on live data.
- Scale from a prototype to production traffic without changing the interface.
Who it is for
- AI developers whose agents need up-to-date external information.
- E-commerce practitioners comparing products, prices, and stock across sites.
- Market researchers and content creators collecting platform data in bulk.
What to watch out for
The free plan gives 250 credits per month, which is enough to test but not to run a production agent, and paid tiers range from $30 to $500 per month depending on credits and request frequency. Credit costs, rate limits, and pricing can change without notice, so build with some headroom. More importantly, automated querying of third-party platforms carries terms-of-service obligations: check the rules for each platform you search, and do not use the API to bypass access controls or collect protected content. Results are only as good as the ranking, so validate critical data before acting on it.
FAQ
What does the free plan include?
250 credits per month, with paid tiers above it priced by credits and request frequency, from $30 to $500 per month.
Which platforms can it search?
Google, Amazon, YouTube, Walmart, and Reddit are named in the listing.
How do I integrate it?
There is an official Python SDK plus a REST API and examples in JavaScript and cURL, and it also connects with tools such as Claude, Cursor, Windsurf, VS Code, and ChatGPT.
Why it is free
What the official page says： 免费免费套餐
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
