The Problem
Building a Karpathy-style LLM Wiki requires pulling from web SERP, Reddit threads, YouTube transcripts, and arxiv. Stitching 4-5 single-purpose vendors creates per-vendor billing, per-vendor failure modes, and per-vendor SDK maintenance.
The Scavio Solution
Scavio (search + extract + reddit_search + youtube_search) covers four of the five surfaces under one key. Pair with Qdrant for vector storage and any LLM for citation-grounded answers.
Before
Tavily + Reddit scraper + YouTube Data API + Firecrawl + Qdrant + LLM = 6 vendors, 6 billing systems, 6 failure modes.
After
Scavio + Qdrant + LLM = 3 vendors, one credit pool for ingestion, single MCP attachment.
Who It Is For
RAG-pipeline maintainers, AI wiki builders, knowledge-base product teams, founders shipping research-agent products.
Key Benefits
- 4 ingestion surfaces under one key
- Per-credit cost $0.0043 for both search and extract
- Citation-ready typed JSON
- Hosted MCP attachable to Claude Code/Cursor
- Stack cost ~$30 + Qdrant Cloud + LLM tokens
Python Example
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def ingest(topic):
return {
'web': requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': topic}).json(),
'reddit': requests.post('https://api.scavio.dev/api/v1/reddit/search', headers=H, json={'query': topic}).json(),
'youtube': requests.post('https://api.scavio.dev/api/v1/youtube/search', headers=H, json={'query': topic}).json(),
}JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const ingest = async (q) => {
const opts = (b) => ({ method: 'POST', headers: H, body: JSON.stringify(b) });
const [web, reddit, youtube] = await Promise.all([
fetch('https://api.scavio.dev/api/v1/search', opts({ query: q })).then(r => r.json()),
fetch('https://api.scavio.dev/api/v1/reddit/search', opts({ query: q })).then(r => r.json()),
fetch('https://api.scavio.dev/api/v1/youtube/search', opts({ query: q })).then(r => r.json()),
]);
return { web, reddit, youtube };
};Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata