Proprietary Methodology // Internal Grading Standard v2.1

The Carbon Quality Filter: Why Price is Only Half the Story.

In the 2026 carbon market, a "ton" is no longer a commodity. Due to varying registry standards and retroactive auditing by international bodies, the validity of a carbon credit is now tiered. This is why CarbonArbitrageData developed the Proprietary Quality Filter (PQF)—the grading system behind our arbitrage indices.

The Problem: A business acquires 5,000 tons of reforestation credits at $8.00/t. Six months later, an audit reveals the project failed "additionality" tests. The credits are retired but deemed null for compliance. The business is now $40,000 in the hole and facing an ESG fraud investigation.

1. Additionality Verification

Our filter first asks: "Would this carbon benefit have happened anyway?" We exclude projects that rely on government-mandated transitions. We only track credits where the capital investment is the sole driver of the carbon capture. If the math doesn't hold up, the credit is flagged as High Risk.

2. Permanence Auditing

A credit is only as good as its lifespan. We grade projects on a 100-year permanence scale. "Nature-based" solutions (Forestry) are weighted differently than "Technology-based" solutions (DAC/Solar). Our index adjusts the effective price offorestry credits to account for the risk of physical loss (wildfire, illegal logging).

3. Double-Retirement Protection

With the rise of decentralized carbon tokens, the risk of "Double-Retirement" has spiked. Our PQF methodology cross-references blockchain-based tokens against legacy registry retirement logs (Verra/GS). Any asset without a direct, verifiable "burn" proof is excluded from our B2B pricing terminal.

API Value Proposition: Our API doesn't just deliver a number. It delivers a Confidence Score. Institutions use our data to ensure their carbon procurement meets the "Golden Standard" of 2026 ESG law.