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Alpine DataWorks
Industries

One schema.
Every domain that needs an answer.

The same intelligence-object pattern — score, drivers, confidence, freshness — organized by the business domain it serves. Consumer leads Phase 1. Retail, Market, and Financial follow the same IOM spine.

CMO · CFO Phase-1 beachhead

Consumer Intelligence

Consumer intelligence answers the hardest question on the board: are wallets opening or closing, and why? Objects in this family track discretionary-spend pressure, brand pricing power, and behavioral shifts — synthesized from Census, BLS, BEA, and public sentiment feeds into a single callable answer.

The News Sentiment & Trend Velocity Index (ADW-007) anchors Phase 1 — a live demo of the IOM pattern applied to the consumer signal layer. The deeper Consumer catalog is validated and in build.

In the catalog Validated and in build. Sample objects available on request.
  • Shopper-Impact / Discretionary Squeeze

    Ready

    Enables retailers and brands to time promotions and optimize assortment by quantifying the financial pressure on consumers' discretionary spending.

    Buyer: CFO/CMO Request access →
  • Aspiration Premium Index

    Ready

    Enables brands to distinguish whether their pricing power stems from emotional aspiration or functional utility to identify and mitigate pricing fragility.

    Buyer: CMO/Investor Request access →
  • Gas Perception-Gap

    Ready

    Helps automotive manufacturers and policymakers distinguish between actual aerodynamic drag and driver perception to target the correct intervention for fuel efficiency.

    Buyer: CMO/CFO Request access →
Use cases
  • 01

    Catch a discretionary-spend squeeze before it hits same-store sales

    A CMO monitors the Consumer Spend Pressure score weekly — when it tips below 40, promotional cadence shifts before the quarter closes.

  • 02

    Justify a brand pricing-power hold vs. markdown

    A CFO compares category pricing-power signals against internal margin targets to decide whether to hold price or discount heading into the back-to-school window.

  • 03

    Detect wallet-share migration between competing categories

    A strategy team calls the behavioral-shift driver object to surface which adjacent categories are absorbing spend away from their core product line.

ADW-007 View a sample object
ADW-007 · sample object
{
  "product_id": "ADW-007",
  "entity": "global",
  "score": 0.55,
  "trend": "volatile",
  "confidence": 0.78,
  "top_drivers": [
    {
      "factor": "Geopolitical Tensions",
      "contribution": 0.4
    },
    {
      "factor": "Economic Policy Uncertainty",
      "contribution": 0.35
    }
  ],
  "prediction_horizon": "7d",
  "recommended_use": "Risk hedging",
  "methodology_version": "v3.1",
  "freshness": "2026-06-19T14:00:00Z",
  "coverage": "Global Media",
  "sentiment_index": 0.55,
  "news_velocity": "high",
  "tone_score": -0.2,
  "source_diversity_score": 0.85,
  "source_lineage": [
    "GDELT",
    "RSS",
    "CoinDesk Data"
  ],
  "allowed_use": "evaluation, commercial"
}
Retail Strategist · Real-Estate Ops · CMO

Retail Intelligence

Retail intelligence translates macro pressure and location data into store-level decisions: where to open, what to promote, and when a discount will cannibalize margin rather than drive incremental revenue.

ADW-005 (Global Real Estate Affordability Score) is the live anchor — site selection intelligence callable today. The broader Retail catalog extends into promotions and wallet-share dynamics.

In the catalog Validated and in build. Sample objects available on request.
  • Global Real Estate Affordability Score

    Core

    Enable retailers to identify high-potential markets where housing costs are low relative to local incomes, ensuring customer purchasing power supports retail spending.

    Buyer: Retail Strategist Request access →
  • Promo-Cannibalization Risk

    Ready

    Prevent revenue erosion by identifying discounts that disproportionately cannibalize high-margin premium product sales.

  • Promo-Elasticity Gap

    Ready

    Identify underperforming promotional investments to reallocate trade spend toward high-elasticity categories for maximum revenue lift.

    Buyer: CMO/CFO Request access →
  • Demographic Affinity / Site-Selection

    Ready

    Identify high-potential zip codes for new retail locations by matching store concepts to local population characteristics.

    Buyer: CMO/COO Request access →
  • Wallet-Share Erosion

    In validation

    Identify high-value customers at risk of churning to specific competitors to enable targeted retention campaigns and recover lost revenue.

  • Shelf-Share Velocity

    In validation

    Enable retailers and CPG brands to benchmark their product distribution efficiency against market leaders to identify untapped shelf-space opportunities.

Use cases
  • 01

    Rank new-market site candidates by real affordability, not listing price

    A real-estate ops team pulls the Affordability Score for 20 target metros — the object returns a normalized rank so the highest-income markets with the lowest price-income strain rise to the top.

  • 02

    Time a promotional depth decision to income stress

    A retail strategist overlays the rent-to-income ratio for a store cluster against planned markdown depth to avoid cannibalization in high-stress markets.

  • 03

    Identify markets where a convenience-tier banner can take share

    A CMO uses location-affinity and wallet-share objects together to find geographies where consumers are already trading down — before competitors open there.

ADW-005 View a sample object
ADW-005 · sample object
{
  "product_id": "ADW-005",
  "entity": "Austin TX",
  "score": 42,
  "trend": "declining",
  "confidence": 0.88,
  "top_drivers": [
    {
      "factor": "Home Price Surge",
      "contribution": 0.55
    },
    {
      "factor": "Wage Stagnation",
      "contribution": 0.3
    }
  ],
  "prediction_horizon": "12m",
  "recommended_use": "Real estate investment timing",
  "methodology_version": "v1.8",
  "freshness": "2026-06-01T06:00:00Z",
  "coverage": "Metro Area",
  "affordability_score": 42,
  "price_to_income_ratio": 5.8,
  "rent_to_income_ratio": 0.35,
  "source_lineage": [
    "FRED housing",
    "World Bank"
  ],
  "allowed_use": "evaluation, commercial"
}
CFO · Allocator · Quantitative Analyst

Market Intelligence

Market intelligence is where Alpine has the most live, callable products. Four registry objects cover crypto sentiment & volatility, US macro health, DeFi protocol dynamics, and global news velocity — all pre-computed, driver-backed, and refreshable via one API call. Validated volatility signals (EWC, TPS, Phase-Slope) round out the catalog with receipts attached.

The strongest live-demo family. Four objects are callable now — hourly crypto regime, daily macro score, DeFi TVL driver, and real-time news velocity.

In the catalog Our validated volatility signals carry incremental-IC receipts — cited as proof points on the methodology page, not sold as standalone objects here.
  • Crypto Market Sentiment & Volatility Index

    Core

    Enable traders to identify optimal entry and exit points by quantifying real-time market sentiment and volatility regimes to capture alpha.

    Buyer: Crypto Trader Request access →
  • DeFi Protocol TVL & Yield Driver

    Core

    Enable investors to distinguish between organic yield-driven growth and speculative capital inflows to identify sustainable high-yield opportunities in DeFi protocols.

    Buyer: DeFi Investor Request access →
  • News Sentiment & Trend Velocity Index

    Core

    Enables traders and analysts to detect and capitalize on emerging market shifts by quantifying the speed and direction of global news sentiment.

    Buyer: Quantitative Analyst Request access →
Use cases
  • 01

    Switch an algo portfolio from risk-on to risk-off in one API call

    A quantitative analyst queries the Crypto Market Regime object hourly — when the score drops below 35 and trend is "falling," the system auto-trims exposure.

  • 02

    Pre-screen a macro environment before deploying new capital

    A CFO pulls the US Macro Health Score before a board deck — a single score with driver breakdown (inflation, labor, growth) replaces four separate data pulls and a manual synthesis step.

  • 03

    Flag DeFi TVL divergence as a early liquidity-risk signal

    A risk manager subscribes to the DeFi TVL object's weekly refresh — a driver showing APY-without-TVL-growth surfaces protocol-level risk before it appears in on-chain liquidation data.

ADW-002 View a sample object
ADW-002 · sample object
{
  "product_id": "ADW-002",
  "entity": "US",
  "score": 68,
  "trend": "stable",
  "confidence": 0.92,
  "top_drivers": [
    {
      "factor": "GDP Growth",
      "contribution": 0.4
    },
    {
      "factor": "Unemployment Rate",
      "contribution": 0.35
    }
  ],
  "prediction_horizon": "3m",
  "recommended_use": "Macro asset allocation",
  "methodology_version": "v3.0",
  "freshness": "2026-06-01T06:00:00Z",
  "coverage": "National",
  "health_score": 68,
  "inflation_pressure": "moderate",
  "labor_market_status": "tight",
  "growth_momentum": "positive",
  "data_lag_days": 2,
  "source_lineage": [
    "FRED",
    "BLS",
    "BEA"
  ],
  "allowed_use": "evaluation, commercial"
}
CFO · Risk Manager · Actuary

Financial Intelligence

Financial intelligence packages regulatory and actuarial data — bank stability, mortality tables, catastrophe loss distributions — into agent-callable objects that previously required bespoke models. Built on FDIC, Fed stress tests, NOAA, and public mortality registries.

ADW-004 (US Bank Stability & Branch Coverage Index) is the live anchor. Actuarial and insurance depth lives in the catalog as validated-and-in-build objects.

Use cases
  • 01

    Qualify a counterparty bank before extending a credit facility

    A risk manager calls the Bank Stability Index for the counterparty — branch density, deposit growth, and failure-risk indicator return as a single callable object with confidence and freshness timestamps.

  • 02

    Automate §7520 present-value calculations for estate planning agents

    An actuary wires the Actuarial Present Value object into an agent workflow — the object handles IRS life tables, monthly rate lookup, and annuity math so the agent returns a dollar figure, not a formula.

  • 03

    Stress-test catastrophe exposure for a property book without a vendor model

    An underwriter queries the CAT Loss Distribution object for a region — it returns Monte Carlo-derived AAL and OEP/AEP curves from public NOAA and USGS data.

ADW-004 View a sample object
ADW-004 · sample object
{
  "product_id": "ADW-004",
  "entity": "US",
  "score": 0.82,
  "trend": "stable",
  "confidence": 0.9,
  "top_drivers": [
    {
      "factor": "Capital Adequacy Ratios",
      "contribution": 0.6
    },
    {
      "factor": "Deposit Stability",
      "contribution": 0.25
    }
  ],
  "prediction_horizon": "6m",
  "recommended_use": "Systemic risk monitoring",
  "methodology_version": "v2.0",
  "freshness": "2026-04-01T06:00:00Z",
  "coverage": "Systemic",
  "stability_index": 0.82,
  "branch_density_score": 0.75,
  "failure_risk_indicator": "low",
  "source_lineage": [
    "FDIC BankFind",
    "FRED"
  ],
  "allowed_use": "evaluation, commercial"
}
Where things stand

Live demos now. Full depth in build.

Market Intelligence

Live · most depth

Callable now

Four callable products today — crypto regime, US macro, DeFi TVL, news velocity. Six validated signals with IC receipts. The strongest live-demo family.

Financial Intelligence

Live · expanding

Callable now

Bank stability & branch coverage live today. Actuarial, insurance, and macro objects validated in the catalog — sequential build underway.

Consumer Intelligence

Phase-1 beachhead

In build

News Sentiment & Trend Velocity anchors Phase 1. The deeper consumer catalog — spend pressure, brand pricing power, behavioral gaps — is validated and in build.

Retail Intelligence

Site selection live

In build

Real Estate Affordability Score is callable today. Promotions, wallet-share, and location-affinity objects are validated and queued for build.

Ready when you are

Request access to your industry's objects.

Tell us your domain and use case. We'll point you to the live product or the catalog object that fits — and share a sample object if one exists.