Solution

Build a Predictable-Cost SEO API Layer

SEO APIs like Semrush ($499.95+/mo) and SerpAPI ($75/mo for 5K searches) charge flat monthly fees with hard caps. Go over the cap and you either get blocked or pay steep overages.

The Problem

SEO APIs like Semrush ($499.95+/mo) and SerpAPI ($75/mo for 5K searches) charge flat monthly fees with hard caps. Go over the cap and you either get blocked or pay steep overages. Teams cannot predict monthly costs when query volume fluctuates with client onboarding.

The Scavio Solution

Wrap Scavio as your SEO data layer at $0.005/credit with no monthly minimum. Pay only for what you use. 250 free credits per month cover testing. Scale from 100 to 100K queries without changing plans or negotiating contracts.

Before

Paying $499.95/month for Semrush API access with a fixed query cap. Client onboarding spikes cause overages or failed queries.

After

Pay-as-you-go at $0.005/credit. A 10K-query month costs $50. A 2K-query month costs $10. No wasted budget on quiet months.

Who It Is For

SEO agencies and in-house teams who need predictable API costs that scale with client volume.

Key Benefits

  • No monthly minimum or annual contract
  • Linear cost scaling: $0.005 per query
  • 250 free credits/month for dev and testing
  • Multi-platform coverage in one API key
  • No overage fees or hard caps

Python Example

Python
import requests, os

API_KEY = os.environ["SCAVIO_API_KEY"]

def seo_search(query: str, platform: str = "google", country: str = "us") -> dict:
    """Predictable-cost SEO data layer. $0.005/query, no minimums."""
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": API_KEY, "Content-Type": "application/json"},
        json={"query": query, "platform": platform, "country_code": country},
        timeout=15,
    )
    resp.raise_for_status()
    data = resp.json()
    return {
        "organic": data.get("organic_results", []),
        "ai_overview": data.get("ai_overview"),
        "people_also_ask": data.get("related_questions", []),
        "knowledge_graph": data.get("knowledge_graph"),
    }

# Example: check a keyword across platforms
for p in ["google", "youtube", "amazon"]:
    result = seo_search("best crm software 2026", platform=p)
    print(f"{p}: {len(result['organic'])} results")

JavaScript Example

JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function seoSearch(query, platform='google', country='us') {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({query, platform, country_code:country})});
  const d = await r.json();
  return {organic:d.organic_results||[], ai_overview:d.ai_overview, paa:d.related_questions||[], kg:d.knowledge_graph};
}
const result = await seoSearch('best crm software 2026');
console.log(result.organic.length + ' organic results, PAA: ' + result.paa.length);

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

YouTube

Video search with transcripts and metadata

Amazon

Product search with prices, ratings, and reviews

Frequently Asked Questions

SEO APIs like Semrush ($499.95+/mo) and SerpAPI ($75/mo for 5K searches) charge flat monthly fees with hard caps. Go over the cap and you either get blocked or pay steep overages. Teams cannot predict monthly costs when query volume fluctuates with client onboarding.

Wrap Scavio as your SEO data layer at $0.005/credit with no monthly minimum. Pay only for what you use. 250 free credits per month cover testing. Scale from 100 to 100K queries without changing plans or negotiating contracts.

SEO agencies and in-house teams who need predictable API costs that scale with client volume.

Yes. Scavio's free tier includes 250 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Build a Predictable-Cost SEO API Layer

Wrap Scavio as your SEO data layer at $0.005/credit with no monthly minimum. Pay only for what you use. 250 free credits per month cover testing. Scale from 100 to 100K queries wit