Data sources

{
  "assets_catalogued": "32,000+",
  "segments": 10,
  "product_files": "1,000 × 250 parameters",
  "art_database": "4.5 GB",
  "insight_templates": "600 markdowns",
  "accuracy": "91%"
}
```

### Source Categories

| Category | Description | Role in Pipeline |
|----------|-------------|------------------|
| **Primary** | Direct transaction data | Auction results, retail sales, hammer prices |
| **Secondary** | Enrichment & context | Market indices, artist rankings, exhibition history |
| **Proprietary** | Exclusive partnerships | Curated databases, subscription services |
| **Connected APIs** | Real-time feeds | Live marketplace listings, availability tokens |

> **Important:** All sources are verified via our **Market Scout** validation layer before integration into the unified data layer.

---

## Source Architecture

### Data Flow
```
PROPHETIC SOURCE INTEGRATION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  Primary    Secondary    APIs    Proprietary
     │           │          │          │
     ▼           ▼          ▼          ▼
  ┌──────────────────────────────────────────┐
  │       Prophetic Ingestion Pipeline       │
  │    Normalisation • Deduplication •       │
  │         Enrichment • Indexing            │
  └────────────────────┬─────────────────────┘
                       ▼
            ┌────────────────────┐
            │    Market Scout    │
            │   AI-powered       │
            │   verification     │
            └──────────┬─────────┘
                       ▼
            ┌────────────────────┐
            │  Unified Data Layer │
            │    32,000+ assets   │
            └────────────────────┘
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

### Active Integrations by Segment

| Segment | Integration Type | Data Captured | Status |
|---------|------------------|---------------|--------|
| **Luxury Bags** | Marketplace APIs | Pricing, availability, condition grades | ✅ Active |
| **Contemporary Art** | Subscription service | Rankings, exhibitions, sales history | ✅ Active |
| **Sneakers** | Platform connectors | Sizes, colourways, authentication | 🔄 In progress |
| **Fine Wines** | Exchange feeds | Vintages, provenance, Liv-ex indices | 🔄 In progress |
| **Watches** | Market aggregators | References, box/papers, condition | 🔄 In progress |

> **Coming soon:** Deep integration for artwork provenance research and comprehensive transaction flow analysis.

---

## Segment Coverage

### Data Depth by Segment
```
COVERAGE DEPTH
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Segment              Depth             Products
────────────────────────────────────────────────
Watches              ██████████████████ Deep     ~120
Sneakers             ████████████████░░ Strong   ~100
Wines & Spirits      ████████████████░░ Strong   ~150
Collectible Cards    ██████████████░░░░ Solid    ~80
Contemporary Art     ██████████████░░░░ Solid    ~200
Luxury Bags          ████████████░░░░░░ Good     ~150
High Jewellery       ████████████░░░░░░ Good     ~80
Prestige Automobiles ██████████░░░░░░░░ Moderate ~60
Premium Real Estate  ██████████░░░░░░░░ Moderate ~60

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total: ~1,000 product files × 250 avg parameters

{
  "size": "4.5 GB",
  "format": "Distributed CSV architecture",
  "compliance": "GDPR compliant",
  "personal_data": false,
  "use_cases": [
    "Probability algorithms",
    "Artist ROI calculation",
    "Prophetic Score generation",
    "Market momentum analysis"
  ]
}
```

### Art Data Enrichment

| Data Layer | Description | Application |
|------------|-------------|-------------|
| Rankings | Global artist positioning against peers | Score weighting |
| Exhibitions | Museum shows, gallery representations, fair presence | Institutional recognition |
| Sales History | Auction results, private sales when disclosed | Price trajectory |
| Market Trends | Category performance, medium preferences | Sector allocation |

> **Coming soon:** Fundamental provenance research integration for enhanced ROI prediction accuracy.

---

## Data Types

### Transaction Data

Primary market intelligence forms the foundation of all valuations:

| Type | Description | Frequency |
|------|-------------|-----------|
| Sale Records | Completed transactions with verified prices | Real-time to weekly |
| Active Listings | Current market offerings across platforms | Daily refresh |
| Pre-sale Estimates | Auction house valuations before sale | Event-driven |
| Hammer Results | Final auction prices including buyer's premium | Post-auction |

### Reference Data

Contextual layers that enrich raw transaction data:
```
ENRICHMENT ARCHITECTURE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

     ┌───────────────────────────────────┐
     │        Market Context             │
     │  Economic indicators • Sector     │
     │  trends • Collector sentiment     │
     │  ┌─────────────────────────────┐  │
     │  │   Historical Patterns       │  │
     │  │  Price trajectories •       │  │
     │  │  Seasonality • Cycles       │  │
     │  │  ┌───────────────────────┐  │  │
     │  │  │ Verified Transactions │  │  │
     │  │  │  ┌─────────────────┐  │  │  │
     │  │  │  │  Product File   │  │  │  │
     │  │  │  │ 250 parameters  │  │  │  │
     │  │  │  └─────────────────┘  │  │  │
     │  │  └───────────────────────┘  │  │
     │  └─────────────────────────────┘  │
     └───────────────────────────────────┘
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

---

## Data Freshness

### Update Frequency by Segment

Market structure determines optimal refresh rates:
```
REFRESH RATES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

HIGH (daily)
│ Watches │ Sneakers │ Cards │
└─────────┴──────────┴───────┘
Liquid markets with active secondary trading

MODERATE (weekly)  
│ Wines │ Bags │ Art │
└───────┴──────┴─────┘
Established markets with regular transactions

EVENT-DRIVEN
│ Jewellery │ Automobiles │
└───────────┴─────────────┘
Concentrated around major auctions

PERIODIC
│ Real Estate │
└─────────────┘
Quarterly indices and transaction reporting

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

### Freshness Indicators

Every Prophetic output includes freshness metadata:

| Status | Description | Confidence Impact |
|--------|-------------|-------------------|
| Current | Latest available data | Full confidence |
| Recent | Within expected refresh window | Standard confidence |
| Ageing | Approaching next refresh cycle | Flagged in output |

---

## Market Scout — Real-Time Verification

### AI-Powered Validation Layer

Market Scout is Prophetic's proprietary verification engine that validates all generated insights against real-time market intelligence before publication.
```
MARKET SCOUT ARCHITECTURE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  Generated Insights
         │
         ▼
  ┌─────────────────────────────────────┐
  │         MARKET SCOUT                │
  │                                     │
  │  ┌─────────┐      ┌─────────┐      │
  │  │ LLM #1  │ ←──► │ LLM #2  │      │
  │  │  Fact   │      │ Market  │      │
  │  │ Check   │      │ Verify  │      │
  │  └─────────┘      └─────────┘      │
  │         │              │            │
  │         └──────┬───────┘            │
  │                ▼                    │
  │       Consensus Engine              │
  └────────────────┬────────────────────┘
                   ▼
         Validated Output
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

### Validation Functions

| Function | Process | Outcome |
|----------|---------|---------|
| **Fact-checking** | Cross-reference data points against multiple sources | Accuracy confirmation |
| **Market validation** | Verify pricing against current market conditions | Relevance assurance |
| **Anomaly detection** | Flag statistical outliers and inconsistencies | Quality control |
| **Freshness audit** | Confirm data currency for time-sensitive outputs | Timeliness guarantee |

> **Important:** Every Prophetic insight passes Market Scout validation before reaching users.

---

## Geographic Coverage

### Global Market Reach
```
REGIONAL COVERAGE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

North America    ██████████████████████ Strong
                 New York • Miami • Los Angeles

Europe           ██████████████████████ Strong
                 London • Paris • Geneva • Milan

Asia-Pacific     ████████████████░░░░░░ Solid
                 Hong Kong • Tokyo • Singapore

Middle East      ██████████████░░░░░░░░ Good
                 Dubai • Doha

Latin America    ████████████░░░░░░░░░░ Moderate
                 São Paulo • Mexico City

Global Online    ██████████████████████ Strong
                 All major e-commerce platforms

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

---

## Quality & Compliance

### Source Verification Flow
```
QUALITY ASSURANCE PIPELINE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  New Source     Internal      Market       Production
  Assessment  →  Validation →  Scout    →   Integration
  
  • Provenance   • Format      • AI         • Live
  • Reliability  • Accuracy    • Cross-     • Monitored
  • Coverage     • Consistency   check      • Indexed

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

{
  "gdpr_compliant": true,
  "data_architecture": "Distributed fragments",
  "personal_data_stored": false,
  "transaction_anonymisation": true,
  "retention_policy": "EU regulation compliant",
  "data_subject_rights": "Fully supported"
}
```

### Transparency Standards

| Aspect | Disclosure |
|--------|------------|
| Coverage scope | ✅ Fully indicated per segment |
| Data freshness | ✅ Timestamp on every output |
| Confidence levels | ✅ Shared with all valuations |
| Source identities | ❌ Confidential (commercial sensitivity) |

---

## Continuous Expansion

### Development Roadmap

| Initiative | Objective | Status |
|------------|-----------|--------|
| Platform APIs (Sneakers) | Real-time pricing and availability | 🔄 In progress |
| Exchange feeds (Wines) | Liv-ex indices and trade data | 🔄 In progress |
| Market aggregators (Watches) | Multi-platform price comparison | 🔄 In progress |
| Provenance research | Artwork history and ownership chains | 📅 Planned |
| Emerging markets | Asia-Pacific and Middle East expansion | 🔄 In progress |

### Coverage Growth
```
SOURCE NETWORK EVOLUTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Assets
    ▲
32K+│                              ●───────●
    │                        ●─────┘
    │                  ●─────┘
    │            ●─────┘
    │      ●─────┘
    │●─────┘
    └──────────────────────────────────────────▶
       2023         2024         2025

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
```

---

## Limitations

### Coverage Boundaries

Understanding data limitations ensures appropriate expectation setting:

| Limitation | Description | Mitigation |
|------------|-------------|------------|
| Private sales | Limited visibility into off-market transactions | Estimation models based on comparable sales |
| Emerging markets | Coverage still developing in some regions | Clearly flagged in outputs |
| Real-time gaps | Some segments lack instant data feeds | Freshness indicators always shown |

### What We Cover vs. What We Don't
```
DATA COVERAGE SCOPE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

✅ INCLUDED:
   • Public auction results (major houses worldwide)
   • Verified marketplace transactions
   • Disclosed secondary market sales
   • Authenticated source partnerships
   • AI-validated market intelligence

❌ EXCLUDED:
   • Undisclosed private negotiations
   • Off-market dealer transactions
   • Unverified or anonymous sources
   • Speculation without data foundation

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━