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ESG Oracle

Proprietary technology. The ESG Oracle scoring methodology, weighting model, redistribution logic, and source code are proprietary intellectual property of Untitled_ LuxPerpetua Technologies, Inc. API access is available to approved beta partners. Self-hosting requires a separate license agreement — contact partner@untitledfinancial.com.

The DPX ESG Oracle produces live E, S, G scores from 8 real-world institutional data sources. Those scores flow directly into settlement fees: a higher score means a lower fee. 100% of ESG fee revenue is redistributed to verified on-chain impact programs — making every DPX settlement a direct contributor to measurable environmental and social outcomes.

The Social (S) dimension includes human rights metrics (child labour, labour rights enforcement, safety from violence) and a gender equity sub-score (women in management, earnings parity, gender-responsive institutions) — making DPX the first stablecoin settlement rail with human rights and gender equity embedded directly in its fee structure.


The oracle pulls from 8 institutional data sources across the three ESG dimensions:

SourceAPIMetrics
World Bankapi.worldbank.orgCO2 emissions (metric tons per capita) — EN.ATM.CO2E.PC
Climate Monitorclimatemonitor.info/apiLive CO2 levels (ppm), CH4 levels (ppb)
SourceAPIMetrics
UN SDG APIunstats.un.org/SDGAPISDG 4.1.1 — education; SDG 3 — health
UN SDG API — Human Rightsunstats.un.org/SDGAPISDG 8.7.1 — child labour; SDG 16.1.3 — safety from violence; SDG 16.b.1 — non-discrimination; SDG 8.8.2 — labour rights compliance
UN SDG API — Gender Equityunstats.un.org/SDGAPISDG 5.5.2 — women in management; SDG 5.c.1 — gender-responsive budgeting; SDG 8.5.1 — earnings parity
SourceAPIMetrics
IMFdataservices.imf.orgConsumer Price Index (CPI) — economic stability proxy
OECDsdmx.oecd.orgGDP data — economic governance indicator
SEC EDGARdata.sec.govCorporate governance disclosures (XBRL company facts)

The Social (S) score is a proprietary weighted composite across four sub-dimensions, drawing on OHCHR Universal Periodic Review frameworks, WEF Gender Gap Index methodology, and UN SDG data standards:

Sub-dimensionSourceWhat it captures
Human RightsUN SDG 8.7, 16.1, 16.bChild labour, safety from violence, non-discrimination, labour rights compliance
EducationUN SDG 4.1.1Long-run human capital development
Gender EquityUN SDG 5.5, 5.c, 8.5Women in management, earnings parity, gender-responsive institutional frameworks
HealthUN SDG 3Population wellbeing baseline

The weighting model is proprietary intellectual property. Full methodology documentation is available to approved institutional partners under NDA — contact partner@untitledfinancial.com.


The ESG Oracle score directly determines the ESG fee component of each settlement. A higher score means a lower fee. The component ranges from 0.00% (score 100) to 0.50% (score 0). The on-chain contract, oracle, and API always apply the same calculation consistently.

The scoring methodology, sub-score weighting model, and fee calculation logic are proprietary intellectual property of Untitled_ LuxPerpetua Technologies, Inc. Full methodology documentation is available to approved institutional partners under NDA — contact partner@untitledfinancial.com.


ESG fee revenue from bad actors is redistributed to a verified on-chain impact wallet. This is enforced by the ESGRedistribution contract — it is not discretionary.

A company qualifies as a bad actor when its weighted aggregate ESG score (across WorldBank, UN, ClimateMonitor, IMF, OECD, and SEC) falls at or below the redistribution threshold (40/100). At that point, fees generated by that company are redirected from the general fee pool to the impact wallet.

The contract maps each company to an industry. When redistribution is triggered, fees route to the impact wallet tagged by industry for reporting purposes.

IndustryCoverage
FossilFuelsOil, gas, coal extraction
EnergyRenewable energy, utilities
ManufacturingIndustrials, chemicals, materials
AgricultureFood, farming, fishing
TechnologySoftware, hardware, data centres, telecom
FinanceBanks, insurance, investment
ConsumerRetail, fashion, apparel
HealthcarePharma, medical devices, biotech
RealEstateProperty, construction, infrastructure
TransportationShipping, aviation, logistics
  1. Company’s ESG score is set per-provider by the oracle updater on ESGOracle
  2. ESGRedistribution.aggregatedScore(company) computes the weighted average across all active providers
  3. If score ≤ 40, isBelowThreshold(company) returns true
  4. redistributeERC20(token, company, amount) routes fees to the impact wallet
  5. A RedistributionExecuted event is emitted — auditable by any counterparty, regulator, or auditor

All redistributed fees consolidate to a single on-chain impact wallet (0x5b26325d3f6f3A2B5FAdEbe54c780A8C3dAFd6Ba) — a multi-signature Safe wallet on Base mainnet. Destination addresses can only be updated via setFundingAreas — callable by the contract owner only.

Annual VolumeBad Actor Fee Pool (score 20)Redirected
$100M~$200K100% to impact wallet
$1B~$2M100% to impact wallet
$5B~$10M100% to impact wallet

Every redistribution is verifiable on-chain. Any agent, auditor, or regulator can independently confirm funds reached the impact wallet via BaseScan.


Proprietary technology. The AI synthesis methodology, qualitative signal sources, and inference infrastructure are proprietary intellectual property of Untitled_ LuxPerpetua Technologies, Inc.

The ESG Oracle includes an embedded AI intelligence layer that runs after scores are computed. It synthesises the quantitative E, S, G scores alongside live qualitative signals into a structured institutional briefing returned as an intelligence object on every oracle response.

What it produces:

OutputDescription
reasoningPlain-language explanation of the primary ESG signal drivers and material risk areas
confidence0.0–1.0 reflecting data freshness, source coverage, and signal clarity
alertsUp to 3 ESG risk items material to institutional counterparties or regulators
outlookIMPROVING / STABLE / DETERIORATING / UNCERTAIN

The AI layer draws on qualitative signals beyond the quantitative data sources — including real-time news events from global sources — to identify emerging ESG risks before they appear in institutional data feeds. The specific sources and synthesis methodology are proprietary.

If synthesis is unavailable, the oracle returns the full quantitative result and omits the intelligence field. The quantitative scores are always the authoritative input for fee calculations.


Terminal window
GET https://esg.untitledfinancial.com/esg-score

Returns the current E, S, G scores, composite average, active fee rate, tier label, and AI intelligence synthesis. Use scores.average as the esgScore parameter in settlement quotes on the Stability Oracle.