Scavio for AI Lead Scoring with Rubric

The Problem

An r/n8n post documented 220-person SaaS, 120 leads/week, two AEs spending 15 hrs/week on triage. Most 'AI lead scoring' tools are black-box ML; the rubric pattern beats them at small/mid scale.

How Scavio Helps

• Auditable: every score has a reason rooted in the rubric
• Per-lead cost <$0.05
• Replaces ~15 hrs/week manual triage
• Setup takes 1 day not 2-4 weeks
• Portable across LLMs (rubric is text)

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "n8n webhook → Scavio company enrichment → LLM rubric scoring → CRM write + Slack route":

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 Inbound-heavy SaaS teams (50-500 leads/week), growth engineers, agencies productizing lead scoring

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ai lead scoring with rubric 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.