What We're Building

Interactive WebGL-powered map rendering all known gas stations across the Philippines sourced from OpenStreetMap. Enables spatial analysis of fuel access, coverage gaps, and brand concentration at a national scale.

Real-time integration of Brent crude oil prices and PHP/USD exchange rates to compute import parity pricing. Gives users an instant read on whether local pump prices reflect current global market conditions.

Automated aggregation of energy news from DOE, major publications, and wire services, scored for sentiment using NLP. Surfaces bullish or bearish signals around fuel prices before they hit the pump.

Interactive simulator letting users model the pump-price impact of crude oil shocks, peso depreciation, and excise tax changes. Monte Carlo engine generates probability distributions so policymakers and consumers can plan for tail risks.

Published llms.txt and ai-manifest.json metadata so AI assistants and autonomous agents can discover, understand, and integrate with this dashboard programmatically. Positions the project as a machine-readable energy data endpoint.

Pump prices now sourced from DOE Oil Monitor weekly SRP instead of derived import-parity estimates. Reflects actual Metro Manila prices including disruption premiums not captured by the Brent + forex model.

Visual cascade map showing how oil price shocks ripple through the Philippine economy — from crude oil to diesel, agriculture, transport, and household budgets. Tracks 11 nodes across 5 categories with 16 causal links.

Augment OSM station data with Google Places attributes including operating hours, user ratings, photos, and amenities. Transforms raw coordinate data into actionable consumer information.

Time-series visualization of pump prices, crude benchmarks, and forex going back to 2016, enabling trend analysis and seasonal pattern recognition. Provides context missing from point-in-time snapshots.

Side-by-side price comparison across stations within a configurable radius, letting consumers find the cheapest fuel nearby. Drives accountability among oil companies and empowers consumer decision-making.

Overlay PAGASA typhoon tracks and historical weather events against fuel supply disruptions and price spikes to identify causal patterns. Feeds into early-warning models ahead of storm season.

Add Malaysian pump price data (RON 95, RON 97, diesel) from KPDNHEP alongside station mapping for Peninsular Malaysia, Sabah, and Sarawak. Enables cross-border price comparison with the Philippines.

Monitor Pertamina subsidized and non-subsidized fuel prices across Indonesian provinces, including subsidy reform events. Indonesia is the region's largest fuel consumer and a key benchmark for ASEAN energy policy.

Integrate PTT retail prices and Thailand's refinery throughput data, which serves as a major regional supply node. Adds a critical upstream data point for modeling ASEAN fuel availability.

Real-time AIS vessel tracking for tankers transiting the Malacca Strait, the chokepoint through which ~80% of ASEAN seaborne oil imports pass. Provides early signals for supply tightness or disruption.

Algorithmic detection of price differentials between neighboring ASEAN markets that create arbitrage opportunities or fuel smuggling incentives. Useful for regulators and traders alike.

Real-time risk dashboards for the world's critical oil transit chokepoints — Strait of Hormuz, Suez Canal, Bab-el-Mandeb, and Malacca — integrating geopolitical alerts, vessel queues, and insurance rates.

Automated ingestion of JODI and IEA monthly production statistics for OPEC and OPEC+ members, with quota compliance tracking and output deviation alerts. The supply side of the global oil equation.

Track global refinery capacity utilization, planned maintenance windows, and unplanned outages sourced from operator announcements and satellite imagery. Refinery tightness is a leading indicator for product price spikes.

Visualize the rerouting of oil trade flows caused by sanctions regimes (Russia, Iran, Venezuela) and track dark-fleet tanker movements. Reveals shadow supply dynamics that official statistics miss.

Localized UI in Filipino, Bahasa Indonesia, Thai, Vietnamese, and Malay to make the intelligence layer accessible to non-English-speaking users across ASEAN. Accessibility is a prerequisite for regional adoption.