The Problem
n8n and similar automation tools offer an AI agent node, but it consumes excessive tokens by loading tool descriptions into context on every run. For a simple daily competitor check, the agent node is overkill and expensive.
The Scavio Solution
Replace the AI agent node with two HTTP request nodes: one to Scavio for SERP data, one to Groq for summarization. The Groq HTTP call with Llama 8B costs $0.05/1M input tokens. Total cost per competitor check: ~$0.006 (Scavio credit + Groq tokens). No agent overhead, no tool description bloat.
Before
AI agent node loads 2-3K tokens of tool descriptions per run. Costs $0.02-0.05 per execution in LLM tokens alone. Slow due to multi-turn tool calling.
After
Two HTTP nodes: Scavio search ($0.005) + Groq Llama 8B summary (~$0.001). Total ~$0.006/run. Faster, deterministic, no agent reasoning overhead.
Who It Is For
n8n users, Make users, and automation builders who want competitor monitoring without the cost and complexity of AI agent nodes.
Key Benefits
- 90% cost reduction vs AI agent node approach
- Deterministic pipeline with no agent reasoning loops
- Groq Llama 8B at $0.05/$0.08 per 1M tokens
- Works in n8n, Make, or any HTTP-capable automation tool
- Sub-5-second execution time
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
# Step 1: SERP data
serp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': 'CompetitorName pricing 2026'}).json()
snippets = '\n'.join(r['snippet'] for r in serp.get('organic', [])[:5] if r.get('snippet'))
# Step 2: Groq summarization
summary = requests.post('https://api.groq.com/openai/v1/chat/completions',
headers={'Authorization': f'Bearer {os.environ["GROQ_API_KEY"]}'},
json={'model': 'llama-3.1-8b-instant', 'messages': [
{'role': 'user', 'content': f'Summarize competitor updates in 3 bullets:\n{snippets}'}
]}).json()
print(summary['choices'][0]['message']['content'])JavaScript Example
const serp = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ platform: 'google', query: 'CompetitorName pricing 2026' })
}).then(r => r.json());
const snippets = (serp.organic || []).slice(0, 5).map(r => r.snippet).filter(Boolean).join('\n');
const summary = await fetch('https://api.groq.com/openai/v1/chat/completions', {
method: 'POST',
headers: { Authorization: `Bearer ${process.env.GROQ_API_KEY}`, 'Content-Type': 'application/json' },
body: JSON.stringify({ model: 'llama-3.1-8b-instant', messages: [
{ role: 'user', content: `Summarize competitor updates in 3 bullets:\n${snippets}` }
]})
}).then(r => r.json());
console.log(summary.choices[0].message.content);Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit