I Built a $29/mo Alternative to $800 Enterprise Social Listening Tools

#api #twitter #saas #python

Enterprise social listening tools are absurdly expensive.

Brandwatch: $800-3,000/month (annual contract required)

Meltwater: $7,000-40,000/year

Sprinklr: Custom enterprise pricing

And the buying process? Fill out a form, wait for a sales call, sit through a demo, negotiate annual contracts.

For indie hackers and startups, that's not an option.

The Problem with Alternatives

Raw scrapers give you tweets but no analysis. You still need to build sentiment detection, intent classification, everything.

Chat-only Grok APIs hallucinate when you ask about real data:

"As an AI, I don't have access to real-time data..."

Not useful.

What I Built

Grok X Intelligence API - combines real X/Twitter data with Grok AI analysis.

Four pre-built tools:

grok_x_monitor - Brand monitoring with sentiment scoring
grok_x_intent - Find leads expressing buying signals
grok_x_compete - Compare your brand vs competitors
grok_x_alerts - Set up monitoring triggers

What makes it different: Most "Grok APIs" are chat wrappers that can't see X. This uses xAI's x_search tool to query actual posts and return real URLs, real engagement numbers, real sentiment analysis.

Example: Brand Monitoring

import requests

url = "https://grok-x-intelligence.p.rapidapi.com/grok_x_monitor"

response = requests.post(url, 
    json={"brand": "YourBrand", "timeframe": "24h"},
    headers={
        "x-rapidapi-key": "YOUR_KEY",
        "x-rapidapi-host": "grok-x-intelligence.p.rapidapi.com",
        "Content-Type": "application/json"
    }
)

print(response.json())

What You Get Back

{
  "brand": "YourBrand",
  "summary": {
    "total_mentions": 47,
    "sentiment": {"positive": 32, "neutral": 12, "negative": 3}
  },
  "posts": [
    {
      "url": "https://x.com/user/status/123456",
      "text": "Just tried YourBrand and it solved my problem",
      "sentiment": "positive",
      "engagement": {"likes": 45, "retweets": 12}
    }
  ]
}

Real posts. Real URLs. Real analysis.

Example: Find Leads

response = requests.post(
    "https://grok-x-intelligence.p.rapidapi.com/grok_x_intent",
    json={"topic": "CRM software", "intent_type": "buying"},
    headers=headers
)