The Problem
A single agent exploring the web hits sequential bottlenecks: one query at a time, one perspective. Complex research questions (competitive landscape, market entry analysis, due diligence) need parallel exploration across dozens of angles, which requires a swarm of specialized agents.
The Scavio Solution
Scavio handles hundreds of concurrent queries per API key. Spin up 10-50 specialized agents (each focused on a single angle: pricing, reviews, team, funding, complaints), have them fan out against Scavio in parallel, then merge results. Scavio's flat per-search pricing makes agent swarms economical.
Before
One agent, sequential queries, 45-minute research cycles, shallow coverage.
After
20-agent swarm, parallel queries, 3-minute research cycles, deep multi-angle coverage.
Who It Is For
Teams building multi-agent research systems who need high-concurrency web access.
Key Benefits
- Scales to hundreds of concurrent queries per API key
- Flat per-search pricing makes swarms economical
- 5 platforms keep the swarm's coverage broad
- Normalized schema simplifies result merging
- Works with LangGraph, AutoGen, CrewAI, and Claude Code
Python Example
import asyncio, os, aiohttp
SCAVIO = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': SCAVIO, 'content-type': 'application/json'}
async def agent(session, angle, company):
q = f'{company} {angle}'
async with session.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'query': q}) as r:
return angle, (await r.json()).get('organic_results', [])
async def swarm(company):
angles = ['pricing', 'reviews', 'funding', 'team', 'complaints']
async with aiohttp.ClientSession() as s:
return dict(await asyncio.gather(*[agent(s, a, company) for a in angles]))
print(asyncio.run(swarm('acme.com')))JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };
async function agent(angle, company) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ query: company + ' ' + angle })
}).then(r => r.json());
return [angle, r.organic_results || []];
}
async function swarm(company) {
const angles = ['pricing', 'reviews', 'funding', 'team', 'complaints'];
return Object.fromEntries(await Promise.all(angles.map(a => agent(a, company))));
}
console.log(await swarm('acme.com'));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
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data