Data Methodology

CRBN.CREDIT employs a rigorous, multi-layered approach to carbon market data aggregation. We combine on-chain immutable records with traditional registry data to create a unified, institutional-grade view of the Voluntary Carbon Market (VCM).

1. Data Aggregation Layer

Our "Oracle Engine" continuously polls data from three primary sources:

  • Traditional Registries: Verra (VCS), Gold Standard (GS), American Carbon Registry (ACR), and Climate Action Reserve (CAR). We parse PDF issuance documents and retirement logs.
  • On-Chain Ledgers: Real-time monitoring of Toucan Protocol (BCT, NCT), KlimaDAO, and Celo-based retirement events.
  • Market Venues: Price feeds from Xpansiv CBL, CME Group (Futures), and decentralized liquidity pools (Uniswap v3).

2. Quality & Integrity Scoring

Raw data is passed through our proprietary AI scoring model to assess credit quality:

  • Additionality Check: Analyzing project documentation for financial additionality claims.
  • Permanence Risk: Geospatial analysis of nature-based projects to assess fire/drought risk (Buffer Pool analysis).
  • Vintage Decay: Automated discounting of older vintages (>5 years) based on current market preference curves.

3. Fair Value Calculation

We do not rely on a single price point. Our "Fair Value" is a composite metric derived from:

VWAP CEX (Xpansiv, CME)40%
VWAP DEX (Uniswap, Sushiswap)40%
OTC Reported (Brokers)20%
Fair_Value = (VWAP_CEX * 0.4) + (VWAP_DEX * 0.4) + (OTC_Reported * 0.2)

This weighted approach smooths out volatility from low-liquidity venues and provides a robust mark-to-market price for portfolio managers.

* Disclaimer: This content is generated by AI intelligence models and may not be 100% accurate. Please verify all data points independently.