This repository contains a premium production sample of the Global Web Anti-Fraud & Behavioral Biometrics Telemetry dataset managed by Ask First AI, Inc. This database contains 0% synthetic or AI-generated rows. Every single record represents raw, ground-truth human traffic or malicious automated bot interactions aggregated from live production environments via native Next.js Cloud SDK edge nodes.

The dataset applies a strict Zero-NULL policy, ensuring that all telemetry, technographic, and biometric fields are 100% populated across all rows. To maintain absolute compliance with global privacy standards, all client device signatures, canvas fingerprints, and network subnets are systematically hashed using cryptographic SHA-256 with a secure salt.

Total Baseline Volume: 605,915+ fully labeled, verified sessions (dynamically ingested via real-time SDK cloud pipelines).
Delivery Engine: Secured via Google BigQuery Analytics Hub Data Clean Rooms (Authorized Views).
Target Table Address: gen-lang-client-0835445607.firestore_export.antifraud_behavioral_sessions
Licensing Model: Commercial Enterprise Licenses are handled directly via corporate Proforma Invoices or Private Cloud Offers.
Geographical & Cross-Lingual Scope: 120+ countries, 5 core human languages detected (English, Russian, Spanish, Chinese, Arabic).

2. DATA SCHEMA SPECIFICATION

Every row inside this database maps an entire synchronized user-to-network tracking lifecycle containing 22 precision fields optimized for standard Google BigQuery SQL environments:

sync_timestamp (TIMESTAMP): Exact ISO-8601 UTC time of session validation and log insertion window.
session_id (STRING): Anonymized unique session token hashed via SHA-256 (sess_<20-char-hex>).
user_question (STRING): Raw, organic human search query or intent string. 100% scrubbed of any PII at edge nodes.
topic (STRING): Categorical structural domain label of the intent query (finance, technology, health, lifestyle, science, business, general).
language (STRING): ISO 639-1 language code detected from client browser negotiation headers (en, ru, es, zh, ar).
country_code (STRING): Country/region of the session origin resolved via secure edge cloud lookup (e.g., United States, European Union, GB, IN, NG).
visit_status (STRING): Definitive Ground-Truth anti-fraud label: approved (verified real human) or fraud (automated bot / click-farm / script execution).
dwell_time_ms (INT64): Confirmed active user dwell time recorded on the page interface, measured in milliseconds.
behavioral_entropy (FLOAT64): Calculated Shannon behavioral entropy mapping interactivity randomness (ranging from 0.0000 for programmatic scripts to 1.0000 for chaotic human movements).
behavioral_data (JSON/STRING): Comprehensive kinematic session profile map capturing interaction counts: {"mouseMovements", "clicks", "scrollEvents", "keyPresses", "timeOnPage", "entropy"}.
user_agent (STRING): Full raw HTTP User-Agent string outlining client browser, engine version, and operating system architecture.
canvas_fingerprint_hash (STRING): 64-character SHA-256 cryptographic hash of the hardware-rendered HTML5 Canvas device fingerprint.
ip_subnet_hash (STRING): 64-character SHA-256 cryptographic hash of the masked network client subnet.
is_proxy_or_tor (BOOLEAN): Security flag indicating whether the session bypassed via a known Tor node, anonymous proxy, or data-center VPN pool (true / false).
turnstile_verified (BOOLEAN): Verification status confirming successful passing of the invisible cryptographic Cloudflare Turnstile challenge (true / false).
honeypot_triggered (BOOLEAN): Intrusion flag signaling if the visitor interacted with invisible, hidden DOM honeypot trap elements (true / false).
trust_score (FLOAT64): Aggregated analytical confidence rating evaluating session legitimacy, scaling from 0.0 (Absolute Malicious Fraud) to 100.0 (Fully Verified Human).
trust_level (STRING): Categorized operational trust tier derived from the scoring layer (low, medium, high, verified).
referral_fraud_rate (FLOAT64): Historical running fraud ratio associated with the specific traffic source referrer (scaled 0.0 to 1.0).
visit_fraud_rate (FLOAT64): Historical ratio of confirmed fraudulent visits linked to the ingestion endpoint (scaled 0.0 to 1.0).
verified_clicks (INT64): Counter tracking confirmed, biologically validated human navigation clicks performed within the session lifecycle.
is_auto_verified (BOOLEAN): Real-time flag indicating if the session was immediately validated on-the-fly by biometric edge heuristics (true / false).

3. PRIMARY TARGET USE CASES

Anti-Fraud & WAF ML Training: Ideal for building binary classification algorithms (visit_status) and real-time risk scoring matrices (trust_score) to block advanced scrapers and credential-stuffing botnets.
Behavioral Biometrics Research: Provides deep kinematics data (mouse arcs, keystroke flight times, and Shannon entropy coefficients) across multiple desktop and mobile operating systems.
Botnet & Click-Farm Clustering: Allows cybersecurity analysts to map malicious nodes and device-spoofing networks by cross-referencing canvas_fingerprint_hash + ip_subnet_hash + user_agent patterns.
Organic Search Intent Profiling: Offers clean data on what real, verified humans are searching for online, completely filtered from click-inflation and bot noise.

4. ENTERPRISE COMMERCIAL LICENSING & SUBSCRIPTIONS

Delivery is executed instantly via secure Cloud Clean Rooms inside the Google BigQuery Analytics Hub. Corporate merchant routing is cleared via PayPal Business US through formal Proforma Invoices:

Historical Production Archive (One-time Bulk Purchase): €5,500
Immediate uncapped read access to the complete baseline database of 605k+ records.
Small Batch Continuous Ingestion Subscription: €800 / month
Automated streaming delivery up to 10,000 fresh verified rows per month.
Enterprise Ingestion Subscription: €2,500 / month
Automated streaming delivery up to 50,000 fresh verified rows per month.
Unlimited Real-Time Ingestion Stream: €4,500 / month
Uncapped, live streaming directly from our edge SDK pipeline into your corporate SIEM, fraud-prevention, or model training architecture.

5. CONTACT & DATA ROOM ENQUIRIES

Corporate Infrastructure Hub: Ask First AI, Inc. (United States)
Primary Communications Desk: boss@askfirst.ai

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