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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, and timestamp.
  • 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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