The Problem
Parallel raised $100M Series B at $2B (Apr 29 2026). Tavily was acquired by Nebius for $275M (Feb 2026). Buyers in 2026 face a different vendor-shape question than in 2025.
How Scavio Helps
- Match vendor shape to workload (per-call vs orchestration)
- Account for vendor-risk (acquisitions, lawsuits) in 2026
- Avoid single-vendor concentration on lawsuit-pending tools
- Pure-play SERP API decoupled from inference vendors stays portable
- Stack-aware: many production stacks pair Scavio (data) + Parallel (orchestration)
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "Workload: per-call typed SERP + Reddit + YouTube + Amazon → Scavio. Workload: long-horizon enterprise research → Parallel. Workload: LangChain summarized grounding → Tavily (with vendor-risk note). Workload: neural concept similarity → Exa.":
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 Engineering leads picking the agent web data layer, procurement evaluating vendor risk, founders building agent-shaped products
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your agent search infrastructure decision (2026) solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.