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Python Code:
import sqlite3
from datasets import load_dataset
import pandas as pd
# Method 1: Load verified benchmark sample via Hugging Face
dataset = load_dataset("enterprise-data-labs/n11-sku-depletion-benchmark")
print("Hub Sample Record:", dataset["train"][0])
# Method 2: Load zero-latency local pre-indexed SQLite deliverable
# Optimized for high-frequency quantitative querying
conn = sqlite3.connect("n11_enterprise_feed.sqlite")
query = """
SELECT sku_id, price_usd, stock_level, depletion_velocity
FROM sku_stream
WHERE timestamp > datetime('now', '-24 hours')
ORDER BY depletion_velocity DESC LIMIT 100
"""
df = pd.read_sql_query(query, conn)
print(df.head())
Dataset Card:
Enterprise High-Frequency SKU Depletion & WAF Telemetry Feed: N11
This repository contains an open 1,000-row verified benchmark sample of the N11 SKU depletion feed, structured with pre-indexed SQLite and Snappy Parquet partitions for quantitative market intelligence research.
Executive Summary
Brittle scrapers and broken proxy pools significantly degrade data pipeline reliability for quantitative analysts. This dataset provides a blueprint for bypassing enterprise-grade WAF (Cloudflare Bot Management/Turnstile) challenges. By focusing on protocol-level extraction and TLS/JA4 signature parity, we achieve 99.9% pipeline availability, delivering clean, deduplicated market signals for SKU velocity and inventory depletion.
Enterprise Deliverables Matrix
This feed is structured for direct ingestion into quantitative stacks:
- Pre-indexed SQLite (.sqlite): Instant local querying with indices on
sku_id,price_usd, andtimestamp. - Snappy Parquet: Optimized for direct ingestion into Snowflake, Google BigQuery, and AWS Athena.
- Offline DataGrid (.html): A self-contained, zero-dependency interactive viewer for non-technical stakeholders to audit data quality.
- CDC JSONL Stream: Change Data Capture format for rapid integration into Enterprise RAG pipelines and vector database indexing.
Dataset Schema
| Column | Type | Nullable | Description |
|---|---|---|---|
sku_id |
STRING | No | Unique N11 product identifier. |
timestamp |
DATETIME | No | ISO-8601 UTC execution time. |
price_usd |
FLOAT | No | Normalized price including basket-level discounts. |
stock_level |
INTEGER | Yes | Estimated inventory depth or availability flag. |
velocity_depletion_rate |
FLOAT | Yes | Calculated delta of stock level over 24h period. |
target_domain |
STRING | No | Originating marketplace domain (n11.com). |
detected_waf |
STRING | No | Active WAF signature (e.g., Cloudflare-Turnstile). |
tls_ja4_signature |
STRING | No | Fingerprint used for protocol-level parity. |
delivery_status |
STRING | No | Pipeline verification status (Success/Retry). |
Sample JSON Record:
{
"sku_id": "N11-8829301",
"timestamp": "2026-09-24T14:30:00Z",
"price_usd": 124.50,
"stock_level": 42,
"velocity_depletion_rate": 0.85,
"target_domain": "n11.com",
"detected_waf": "Cloudflare-Bot-Management",
"tls_ja4_signature": "t13d15h2s1",
"delivery_status": "verified"
}
Reproducibility & Quality Metrics
- Availability: 99.9% uptime via protocol-level session orchestration.
- Schema Parity: Deterministic daily schema updates.
- Latency: Sub-120ms protocol execution benchmarks for edge-case retrieval.
Disclaimer: This repository is intended for academic research and data engineering benchmarking. For full-scale enterprise production access and custom SLA-backed data streams, please refer to the official documentation on our portal.
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