---
annotations_creators:
- machine-generated
language:
- en
license: cc-by-4.0
tags:
- finance
- news
- gics
- ai-training
- banking
- structured-data
- jsonl
size_categories:
- 1K<n<10K
---

# BWB Global Intelligence Pack — Free Sample

> **🛒 Want the full dataset?** → [**data.bankingwithbilly.com**](https://data.bankingwithbilly.com)
> Basic: 1,000 records / **$5** · Pro: 5,000 records / **$10** · Archive: 15,000 records / **$20** · One-time, instant download.

## Overview

A combined free sample of structured, AI-ready financial news, GICS intelligence, and long-form books from the Banking With Billy autonomous publishing network.

This **free sample** contains **650 records** from the Banking With Billy autonomous publishing network — 500+ live sites publishing continuously, 24/7 across 187 countries, 11 GICS sectors, and 156 industries.

### Families Included

- **World News Intelligence** — 187-country global news, guardian-verified, GICS-tagged
- **GICS Sector Intelligence** — 11 sectors × 156 industries, structured financial analysis
- **Long-Form Book Intelligence** — 12-chapter expert books, 1,000–2,000 words per chapter

## Schema (Omega Master Schema)

```json
{
  "omega_id": "string — unique record ID",
  "source_family": "string — dataset family",
  "gics_sector": "string — GICS sector",
  "gics_industry": "string — GICS industry",
  "data_type": "news | book | government | signal",
  "timestamp": "ISO-8601",
  "region": "string — country or region",
  "entities": ["array", "of", "named", "entities"],
  "metadata": {
    "confidence": 0.95,
    "guardian_verified": true,
    "word_count": 750,
    "author": "Billy Odell Tucker-Robinson",
    "license": "CC BY 4.0 — Banking With Billy"
  },
  "payload": {
    "headline": "string",
    "lead": "string",
    "body": "string — full article body",
    "why_it_matters": "string — Billy's expert analysis"
  }
}
```

## Usage

```python
import json

records = [json.loads(line) for line in open("data.jsonl") if line.strip()]

# By GICS sector
financials = [r for r in records if r["gics_sector"] == "Financials"]

# All headlines
headlines = [r["payload"]["headline"] for r in records]

# pandas
import pandas as pd
df = pd.read_json("data.jsonl", lines=True)
print(df.groupby("gics_sector").size())
```

## Stats

| Metric | Value |
|---|---|
| Articles Written | 53,995+ |
| Books Published | 12,210+ |
| Live Indexed URLs | 22.3M+ |
| Live Sites | 500+ |
| Countries Covered | 187 |
| GICS Sectors | 11 |
| Industries | 156 |
| Update Rate | ~12 articles/hour |

## License

CC BY 4.0 — Attribution: **Banking With Billy** / Billy Odell Tucker-Robinson

## Full Dataset Access

This sample contains a fraction of available data. For full access:

👉 **[data.bankingwithbilly.com](https://data.bankingwithbilly.com)** — $5 / $10 / $20 one-time payment, instant JSONL download.

## Citation

```bibtex
@dataset{bwb_data_2026,
  author = {Tucker-Robinson, Billy Odell},
  title = {BWB Global Intelligence Pack — Free Sample},
  year = {2026},
  publisher = {Banking With Billy},
  url = {https://data.bankingwithbilly.com},
  license = {CC BY 4.0}
}
```