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Energy/Regulatory · Index Paid

Energy Regulatory Exposure Index

How elevated are US commercial energy prices vs historical norms?

Refresh
weekly
History
30.7 yrs
Plan
Paid
73.5/ 100
Rising

US

1995-11-01 30.7 yrs · 368 pts 2026-06-27

Top drivers

gas_price_zscoregas_price_recent_avg_usd_mcf
⌁ mcp.call("adw-313") vADW-313-live-1.0
Use cases

What it unlocks

For an agent

An energy-procurement automation agent checks ADW-313 weekly and, when the score exceeds 65 on a rising trend (current: 73.5, which is the first and only observation so far, so the agent uses confidence from the enriched tier to gate action), it triggers an RFP process for 12-month fixed-rate electricity and natural gas contracts and posts a recommendation memo to the procurement platform, citing the IOM's top_drivers to specify which leg—commercial electricity (60% weight) or natural gas (40%)—is the primary cost driver. The methodology_version ensures the z-score baseline period is consistent across contract renewal cycles so the agent isn't comparing apples to oranges across years.

📈

For the business

A CFO at a mid-size manufacturer uses ADW-313 to quantify energy-price exposure relative to the 36-month trailing baseline rather than relying on spot-price headlines, which obscure whether current rates are historically unusual. A score of 73.5—deep in the upper quartile of possible readings—gives the CFO a single, sourced number to anchor the board-level conversation about hedging strategy, replacing a fragmented monthly review of EIA tables that required manual z-score calculations and produced inconsistent period comparisons across finance team members.

Forward outlook

Prediction

Horizon
Recommended use
Gauge US commercial energy price elevation relative to trailing baseline. Rising score → utilities are winning rate cases, capacity markets are tight, or supply shocks are passing through — all forms of heightened regulatory exposure. Use as a leading cost-pressure signal for energy-intensive sectors.
Methodology

How it's built

z-score elec(0.6)+gas(0.4); sub=clamp(50+z*15,0,100)

Version ADW-313-live-1.0 · validated to beat a naive baseline · benchmark: BloombergNEF Energy Regulatory; Wood Mackenzie

Live response

The object an agent receives

One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-313.

GET /v1/intelligence/adw-313
{
  "product_id": "ADW-313",
  "entity": "US",
  "score": 73.5,
  "trend": "rising",
  "confidence": 0.55,
  "top_drivers": [
    {
      "factor": "gas_price_zscore",
      "contribution": 1.567
    },
    {
      "factor": "gas_price_recent_avg_usd_mcf",
      "contribution": 12.01
    }
  ],
  "recommended_use": "Gauge US commercial energy price elevation relative to trailing baseline. Rising score → utilities are winning rate cases, capacity markets are tight, or supply shocks are passing through — all forms of heightened regulatory exposure. Use as a leading cost-pressure signal for energy-intensive sectors.",
  "methodology_version": "ADW-313-live-1.0",
  "freshness": "2026-06-27T03:00:32.377Z",
  "coverage": "US commercial electricity retail price (EIA, national) + US commercial natural gas price (EIA, national), trailing 36 months",
  "source_lineage": [
    "api.eia.gov/v2/electricity/retail-sales (EIA_API_KEY — commercial sector, US national)",
    "api.eia.gov/v2/natural-gas/pri/sum (EIA_API_KEY — commercial sector PCS, NUS)"
  ],
  "allowed_use": "informational",
  "validation_status": "descriptive",
  "elec_price_sub_score": null,
  "gas_price_sub_score": 73.5,
  "elec_price_z": null,
  "gas_price_z": 1.567,
  "elec_price_recent_avg_cents_kwh": null,
  "elec_price_baseline_avg_cents_kwh": null,
  "elec_price_latest_period": null,
  "elec_price_latest_cents_kwh": null,
  "gas_price_recent_avg_usd_mcf": 12.01,
  "gas_price_baseline_avg_usd_mcf": 10.767,
  "gas_price_latest_period": "2026-03",
  "gas_price_latest_usd_mcf": 12.34,
  "n_elec_periods": null,
  "n_gas_periods": 36,
  "score_weight_note": "100% commercial gas price (electricity price series unavailable)",
  "methodology_note": "Sub-score = clamp(50 + z × 15, 0, 100) where z = (recent_3mo_avg − baseline_avg) / baseline_stddev. Baseline = months 4–36 (excludes the current 3-month window). ±1σ = ±15 pts from 50; ±3σ spans 0–100. EIA retail-sales data lags ~30–60 days (publication cycle). Score reflects price elevation vs. own history, not absolute price level."
}
IOM schema

The agent-callable contract

Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.

  • product_id
  • entity
  • score
  • trend
  • confidence
  • top_drivers
  • prediction_horizon
  • recommended_use
  • methodology_version
  • freshness
  • coverage
  • source_lineage
  • allowed_use
MCP tool: adw.adw_313
Access options

Consume it your way

  • Dashboard

    Read the score + drivers in the console.

  • REST API

    /v1/intelligence/adw-313

  • MCP tool

    adw.adw_313

  • Marketplace

    Discoverable by any MCP agent via the MCP registry.

  • White-label

    Embed under your own brand (Platinum).

Plan requirement

Depth scales with the plan

  • Free Sample object — current score only
  • Gold Full drivers + history + confidence
  • Platinum White-label + bulk + SLA
Compare plans →

Call ADW-313 in one request.