tpmjs/packages/tools/official/data-classification-heuristic
Ajax Davis 48c41e8733 feat: add use cases marketing product with AI-generated content
Transform qualifying scenarios into marketing-ready use cases with:
- AI-generated titles, descriptions, ROI estimates, business value
- Persona/industry/category taxonomy for targeting
- Browseable feed with filtering and ranking
- SEO-optimized case study pages
- Daily cron job for generation and ranking

Database:
- Add Persona, Industry, Category lookup tables
- Add UseCase model with marketing content fields
- Add junction tables for personas/industries/categories
- Add SocialProof model for cached metrics

API:
- GET /api/use-cases - Global directory with filtering
- GET /api/use-cases/[id] - Individual use case details
- GET /api/public/users/[username]/collections/[slug]/use-cases
- POST /api/cron/use-cases - Nightly generation job

Frontend:
- /use-cases - Global feed with persona dropdown
- /use-cases/[slug] - SEO case study page
- /[username]/collections/[slug]/use-cases - Collection feed
- UseCasesFeed component - Sortable table component
- UseCaseCaseStudy component - Full case study layout
2026-01-20 16:17:35 +10:00
..
src feat: add use cases marketing product with AI-generated content 2026-01-20 16:17:35 +10:00
CHANGELOG.md chore: version packages 2025-12-31 23:54:47 +10:00
package.json chore: update dependencies with compatibility fixes 2026-01-09 22:49:41 +10:00
README.md feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsconfig.json feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00
tsup.config.ts feat: add 100+ official TPMJS tools 2025-12-31 22:55:56 +10:00

Data Classification Heuristic Tool

Classifies data sensitivity using pattern-based heuristics to detect PII, financial data, health data, and other sensitive information.

Installation

npm install @tpmjs/tools-data-classification-heuristic

Usage

import { dataClassificationHeuristic } from '@tpmjs/tools-data-classification-heuristic';

const result = await dataClassificationHeuristic.execute({
  text: "Contact John Doe at john.doe@example.com or call 555-123-4567. SSN: 123-45-6789"
});

console.log(result);
// {
//   classification: 'restricted',
//   signals: [
//     { type: 'Email', severity: 'medium', description: 'Email address detected', matches: 1 },
//     { type: 'Phone', severity: 'medium', description: 'Phone number detected', matches: 1 },
//     { type: 'SSN', severity: 'critical', description: 'Social Security Number detected', matches: 1 }
//   ],
//   confidence: 0.8,
//   summary: {
//     totalSignals: 3,
//     highestSeverity: 'critical',
//     categories: ['PII']
//   }
// }

Classification Levels

  • public - No sensitive data detected, safe for public distribution
  • internal - Low-medium sensitivity data, internal use only
  • confidential - High sensitivity data, restricted distribution
  • restricted - Critical data (SSN, credentials, financial), highly restricted

Detected Patterns

PII (Personal Identifiable Information)

  • Social Security Numbers (SSN)
  • Email addresses
  • Phone numbers
  • Dates of birth
  • Physical addresses

Financial Data

  • Credit card numbers
  • Bank account numbers
  • Routing numbers
  • Salary information

Health Data (HIPAA)

  • Medical record numbers
  • Diagnoses
  • Prescriptions

Government IDs

  • Passport numbers
  • Driver license numbers

Authentication

  • API keys
  • Passwords
  • Access tokens

Technical

  • IP addresses

Output Schema

interface DataClassification {
  classification: 'public' | 'internal' | 'confidential' | 'restricted';
  signals: Array<{
    type: string;
    pattern: string;
    severity: 'low' | 'medium' | 'high' | 'critical';
    description: string;
    matches?: number;
  }>;
  confidence: number; // 0-1 scale
  summary: {
    totalSignals: number;
    highestSeverity: string;
    categories: string[];
  };
}

Use Cases

  • Data Loss Prevention (DLP) - Scan documents before sharing
  • Compliance Auditing - Identify sensitive data in databases
  • Email Filtering - Classify email content sensitivity
  • Document Review - Automatically classify documents for access control
  • Privacy Impact Assessment - Detect PII in data processing activities

Limitations

  • Heuristic-based detection (pattern matching only)
  • May produce false positives (e.g., random number sequences)
  • Does not understand context or semantic meaning
  • Should be used as a first-pass filter, not definitive classification
  • Cannot detect all types of sensitive data (e.g., trade secrets require domain knowledge)

License

MIT