About Price Watcher Intelligence

Engineering Price Transparency
for Modern E-Commerce.

We combine distributed web scraping, mathematical decision science, and zero-trust security to protect shoppers and procurement teams from artificial discounts and algorithmic price surges.

The Challenge

The Illusion of "Limited-Time Deals"

Major retail storefronts continuously modulate SKU pricing using dynamic demand algorithms, flash promotions, and artificial list prices. Without historical context, consumers frequently purchase items marked as "discounted" that were significantly cheaper days earlier.

Our mission is absolute mathematical transparency: persistent tracking of true price floors, automated 4-hour checks, and predictive analytics that advise whether to buy immediately or wait for an impending price drop.

6Storefronts TrackedAmazon, Flipkart, Meesho, Myntra, Ajio, Westside
4hMonitoring CadenceContinuous background cron on GitHub Actions
5Alert ChannelsTelegram, WhatsApp, Discord, ntfy.sh, Email
0Commercial BiasZero ads, zero affiliate manipulation
Decision Science & DSA

Mathematical Price Modeling

Rigorous data structures and statistical algorithms driving every recommendation.

01

Monotonic Deque Minimums

Maintains optimal O(N) sliding window price minimums over 7-day and 30-day temporal horizons to instantly signal all-time lows and localized price troughs.

02

OLS Trajectory Prediction

Applies Ordinary Least Squares (OLS) linear regression to historical price checkpoints, calculating directional velocity and predicting short-term trend trajectories.

03

Pareto Multi-Objective

In discovery mode, computes non-dominated frontier sets across competing objectives: lowest price, highest customer rating, and maximum percentage discount.

04

Shannon Entropy Ranking

Ranks catalog facets by Information Gain to automatically recommend the most informative filter attributes, minimizing candidate space with maximum entropy reduction.

05

Optimal Stopping (Secretary)

Employs statistical 1/e optimal stopping probability cutoffs against log-normal volatility distributions to calculate high-confidence purchase windows.

06

Resilient 5-Tier Extraction

Hierarchical scraping fallbacks: JSON-LD Microdata, Native Hydration States, OpenGraph Meta, Cheerio Multi-Selector Fallbacks, and Playwright Headless Chromium with jitter.

Zero-Trust Architecture

Security & Data Integrity

100% Automated CI Quality Gates

SSRF Attack Probing Defense

Whitelisted domain filtering, private RFC 1918 subnet blocking, octal/hex IPv4 evasion traps, and AWS IMDSv1 loopback neutralization.

Timing-Safe Constant Time Auth

Stateless HMAC-SHA256 session token verification using crypto.timingSafeEqual to prevent side-channel timing exploits.

Row-Level Security (RLS)

PostgreSQL database policies strictly enforce tenancy isolation across watchlist items, personal settings, and alert webhook tokens.

Context-Aware Price Sanitizer

Parses textual currencies safely, rejecting discount percentage figures, EMI plans, pack quantities, and anomalous 99% DOM collapses.

Sliding Window Rate Limiter

In-memory sliding window throttling throttles excessive discovery and signin requests with standards-compliant Retry-After HTTP headers.

Watchdog Liveness Monitor

A 5-hour health watchdog audits scraper timestamps and dispatches automated outage diagnostics if scheduled cycles stall.

Deep Storefront Integrations

Custom parsers and reverse-engineered API gateways optimized for each platform:

AmazonFlipkartMeeshoMyntraAjioWestside

Experience Price Intelligence Today

Start monitoring any product across Amazon, Flipkart, Myntra, Ajio, Meesho, or Westside. Receive automatic alerts the instant prices drop.