Institutional Data

Primary-Source Supply Chain and Electricity Demand Data

A point-in-time panel of weather-normalized US electricity demand and global logistics activity, built for systematic research.

Live production output

Request a sample extract

What we manufacture

01

EIA hourly demand

Public hourly metered electricity demand for eight US grid regions enters as the raw input.

02

Weather normalization

Monthly fitted coefficients remove heating and cooling load, leaving the demand attributable to underlying activity.

03

Sector split

A sector split isolates commercial and data center demand.

04

Scored series

Regional readings are baselined, scored, and combined into a GDP-weighted national series.

Public EIA hourly demand enters; a proprietary, patent-pending transformation produces the series: weather normalization with monthly fitted coefficients, then a sector split isolating commercial and data center demand. Patent application filed December 2025. Coefficient values and calibration parameters are not published.

The panel

Proprietary series across US commercial electricity demand (8 grid regions), data center hub zone demand, a global disruption composite, ports and chokepoints, trade corridors, country customs friction, and freight rate pressure. Delivered via REST API, CSV, and an MCP server listed in the official MCP Registry.

Series familySeriesCadence
US commercial electricity demand (8 grid regions)Hourly
Data center sub-region demand5Daily
Global disruption composite and pillars5Every 15 minutes
Ports and chokepoints49Every 2 hours
Airports59Every 15 to 30 minutes
Trade corridors10Every 2 hours
Country customs friction21Daily
Freight rate indices4Daily

Validation and integrity

Signals are tested against a pre-registered statistical bar: Granger F-test on first-differenced, stationarity-checked series, p at or below 0.01, directional accuracy at or above 55 percent, reverse causality testing, and pandemic-supercycle exclusion. In the governing retest of July 2026, 16 registered signals were tested: 11 passed, 4 failed and 1 could not be tested. Three are cleared for external claims. Failures are recorded, not hidden, and only signals that pass are used in external claims.

Two further signals meet the same standard for external claims but are derived from a series not currently published.

Lead validated relationship

Commercial electricity demand leads total US manufacturing output by one month.

Granger F19.547
p-value0.000052
Directional accuracy77.8 percent
Base rate (best naive call)64.8 percent
Edge over base rate+13.0 points
Information coefficient0.326 (permutation p 0.006)
CausalityUnidirectional
RobustnessPermutation-tested

F, p and directional accuracy are the values of record from the July 2026 retest; base rate and information coefficient were computed in September 2026. Full validation record available on request.

Source observations have been captured by SupplyMaven since April 2024. Composite index series are computed live in the current production platform from early 2026; earlier index history is methodology-consistent reconstruction computed from stored source observations and is labeled as such wherever delivered. When a published value is restated, the value it replaces is kept in a dated, append-only record.

Engagement path

Evaluation follows a structured path.

  1. 01Sample extract with data dictionary and full validation record
  2. 02Researcher evaluation on your timeline
  3. 0390-day paid pilot, credited in full against a first-year license
  4. 04Non-exclusive annual licensing with capacity-limited distribution

Licenses include quarterly methodology and domain-context sessions with the founder.

Scott Sage, Founder

scott.sage@supplymaven.com