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Kadoa for real-time data

Capture Market-Moving Events First

Fill blind spots in your coverage and get highly relevant alerts on time-sensitive events before the market reacts.
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Success story

Problem
A top trading desk was losing alpha due to Bloomberg's coverage gaps and delays on critical events.
Kadoa Solution
  • Real-time monitoring of 500+ websites
  • Highly accurate change detection
  • Low latency notifications within 2 seconds
  • Analyst-friendly no-code configuration
ROI
  • Change detection latency 85% faster than manual monitoring
  • Reduced false positives by 90% versus previous solution
  • Increased coverage by 5X without engineering resources
"Kadoa gives us comprehensive coverage we couldn't get elsewhere. We now catch critical events faster and more reliable."
— Head of Research, Top Market Maker
Sample workflow

Corporate Websites

IR pages, press releases, product updates

Regulatory Filings

SEC EDGAR, international exchanges

Alternative Sources

Social media, forums, review sites

Monitor

24/7 change detection with AI

Extract

Structured data from any format

Trading Systems

Direct API integration

Data Warehouse

Snowflake, S3, proprietary DBs

Team Alerts

Slack, email, SMS
Sample results
Event Type
FDA Rejection
Ticker
BIOQ
Detection Time
16:45:12 EST
Market Impact
IV spike +180%
Source
FDA Website
Confidence
100%
Event Type
Product Recall
Ticker
AUTO
Detection Time
11:22:33 EST
Market Impact
Put volume +350%
Source
NHTSA Portal
Confidence
98.5%
Event Type
Earnings Pre-announce
Ticker
RETL
Detection Time
08:15:47 EST
Market Impact
Option flow shift
Source
IR Page
Confidence
99.2%
Event Type
Executive Departure
Ticker
TECH
Detection Time
14:33:18 EST
Market Impact
Volatility +45%
Source
LinkedIn
Confidence
92.1%
Event Type
Regulatory Action
Ticker
FINX
Detection Time
09:41:55 EST
Market Impact
Straddle demand
Source
SEC Website
Confidence
96.8%
Make Or Buy

Why top firms switched to Kadoa

Team & Budget Impact
In-House:
2 senior data engineers + ongoing maintenance
With Kadoa:
~40% lower operational cost
Setup
In-House:
Rule-based, manual coding, breaks frequently
With Kadoa:
Auto-generated
Data Quality
In-House:
Manual validation, constant quality issues
With Kadoa:
High quality out-of-the-box, automated data validation
Maintenance
In-House:
Was slow, fragile, and costly
With Kadoa:
Fully managed
Time to Dataset
In-House:
2 to 4 weeks per source
With Kadoa:
A few hours
Scalability
In-House:
Linear cost growth, engineering bottleneck
With Kadoa:
10x sources, same cost

Ready to turn unstructured data into insights?

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Other Kadoa use cases:
Web Scraping AutomationCompany DocumentsRetail IntelligenceLocation IntelligenceJob Market DataETL for LLMs
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