Platform Documentation

Athlas Verity — Complete Platform Guide

Reference documentation for all five carbon credit verification engines, twelve methodology frameworks, AI consensus scoring, satellite intelligence, and institutional report generation.

5 Carbon Types Platform Capabilities Methodology Standards Data Requirements Carbon NFT Minting Workflow

Platform Overview

Institutional-grade carbon credit verification across all major project types

Athlas Verity is an institutional-grade carbon credit verification platform that combines AI-powered satellite analysis, multi-framework scientific consensus scoring, and audit-ready PDF report generation. It supports all five primary carbon credit domains, each with a dedicated calculation engine calibrated to its specific methodology standards, uncertainty requirements, and compliance frameworks.

Carbon Types

Green · Blue · RE · NBS · CDR

12+

Methodology Stds

IPCC · VCS · ISO · Puro.earth

95% CI

Uncertainty Floor

Isometric-grade precision

4-FW

Consensus Scoring

IPCC / CarbonPlan / VCS / OpenMRV

Verification Engines

Carbon Credit Types & Methodologies

Green Carbon

Terrestrial Forest & Land-Based Sequestration

Green Carbon Engine — IPCC AR6 9-Step Methodology

Methodology Applied

IPCC AR6 WG3 Ch.12 — forest biomass equations & AGB/BGB ratios
Satellite-derived NDVI + RGB composite for vegetation classification
Above-ground biomass (AGB) estimation with quantile-regression uncertainty
Below-ground biomass (BGB) via IPCC root-to-shoot factors
Baseline scenario modeling & additionality assessment
Conservative P10 selection for uncertainty-adjusted net credit

Required Data Inputs

High-resolution satellite imagery (Sentinel-2 or Landsat)
Project GeoJSON boundary polygon
Field survey biomass measurements
Project area (hectares) and forest type
Baseline & project sequestration rates (tCO₂e/ha/yr)

Blue Carbon

Coastal Ecosystem Carbon — Mangrove, Seagrass, Tidal Wetland

Blue Carbon Engine — ≥20% Uncertainty Floor Enforced

Methodology Applied

Coastal ecosystem classification: mangrove, seagrass, salt marsh
Above-ground biomass and below-ground root biomass analysis
Sediment organic carbon (SOC) depth modeling
Mandatory ≥20% uncertainty floor per international blue carbon standards
Integrity scoring against IPCC Wetlands Supplement
Avoided emission baseline via counterfactual land-use scenario

Required Data Inputs

Ecosystem type and coastal zone classification
Canopy cover % and mangrove height data
Sediment core samples or published SOC density values
Project GeoJSON boundary and area (ha)
Disturbance risk and monitoring confidence %

Renewable Energy

Clean Energy Displacement — Grid Emission Avoidance

Renewable Energy Engine — IEC/IPCC Grid Factor Validation

Methodology Applied

Technology support: Solar PV, Wind, Hydro, Geothermal, Biomass
Regional grid emission factor validation (tCO₂e/MWh)
Actual vs. capacity-adjusted MWh generation verification
Additionality confidence scoring (financial, regulatory, market)
Avoided emission = generation × (grid factor − technology lifecycle factor)
Uncertainty adjustment via capacity utilisation discount

Required Data Inputs

Technology type and installed capacity (MW)
Annual energy generation data (MWh)
Regional / national grid emission factor
Additionality evidence (IRR, policy, PPA status)
Project commissioning date and contract period

Nature-Based Solutions (NBS)

Ecosystem Restoration — ARR, IFM, Peatland, Agroforestry, Grassland

NBS Hybrid Engine v2 — 8-Framework Consensus

Methodology Applied

IPCC 2019 Refinement — AFOLU Ch.2–4 land-sector accounting
CarbonPlan Forest Carbon Evaluation Framework — additionality AA-1/2/3
VCS AFOLU: VM0007, VM0015, VM0032, VM0033 — buffer pool accounting
Open MRV Terrestrial Carbon Framework (2024) — leakage boundary
Isometric NBS-MRV Toolkit — uncertainty quantification at k=2 (95% CI)
Regen Network Eco-Credit Framework ICS v1.2 — credit class & verification
Collect Earth Online / FAO OpenForis CEO v2 — reference sample validation
IUCN Global Standard for Nature-based Solutions (2020) — biodiversity co-benefit

Required Data Inputs

NBS pathway: ARR, IFM, peatland restoration, agroforestry, or grassland
Project area (ha) and sequestration rates (tCO₂e/ha/yr)
Additionality evidence score (CarbonPlan AA-1/2/3 tier)
Collect Earth Online satellite validation score
Leakage risk level (Open MRV) and monitoring frequency
Buffer pool % and disturbance risk %

Carbon Dioxide Removal (CDR)

Engineered Removal — DAC, Biochar, BECCS, Enhanced Weathering

CDR Hybrid Engine v3 — ISO 35% / CarbonPlan 25% / Puro 20% / OpenMRV 20%

Methodology Applied

ISO 14064-2:2019 — GHG project quantification & lifecycle boundary
IPCC AR6 WG3 Ch.12 — CDR lifecycle emission factors
CarbonPlan Carbon Removal Evaluation Framework — additionality & quality
Puro.earth Standard for CO₂ Removal — permanence & Chain of Custody
Open MRV CDR Accounting Framework — full Scope 1+2+3 boundary
Isometric CDR-MRV Toolkit — uncertainty at 95% CI confidence interval
Verra CDR Protocol v2.0 (2024) — MRV discounting
Oxford CDR Principles (2021) — permanence classification

Required Data Inputs

CDR method: DAC, biochar, enhanced weathering, BECCS, mineralization, ocean alkalinity
Annual capture capacity (tCO₂), energy use (MWh), renewable energy share %
Grid emission factor, storage leakage %, transport emission %
Durability (years), Puro.earth Chain of Custody rating
Additionality evidence score (CarbonPlan) and monitoring confidence %
Upstream Scope 3 emission estimates (Open MRV)

Infrastructure

Platform Capabilities

Satellite Intelligence

Multi-spectral Earth observation processing including NDVI heatmaps and RGB composite overlays. Automated vegetation classification, land-cover change detection, and biomass stock estimation at field-plot resolution.

NDVI HeatmapRGB CompositeVegetation ClassificationLand-Cover Change

AURA AI Consensus Engine

Dual-model AI pipeline (DeepSeek + Gemini) that independently assesses plausibility, detects anomalies, and produces a weighted consensus integrity score. Results are classified as High / Medium / Low integrity.

DeepSeekGeminiPlausibility ScoringIntegrity Classification

Uncertainty Quantification

Quantile regression with conservative P10 (10th percentile) selection ensures verified credits are never over-estimated. Blue Carbon enforces a mandatory ≥20% uncertainty floor. CDR applies Isometric 95% CI precision.

P10 Conservative≥20% BC FloorIsometric 95% CIQuantile Regression

4-Framework Consensus Scoring

NBS and CDR verifications apply a weighted consensus across four authoritative frameworks: IPCC (35%), CarbonPlan (25%), VCS/Puro.earth (20%), and OpenMRV (20%). The consensus score determines the final verified net credit.

IPCC 35%CarbonPlan 25%VCS/Puro 20%OpenMRV 20%

Geospatial Validation

GeoJSON polygon ingestion with coordinate precision checks, automated area calculation, satellite imagery overlay for boundary confirmation, and Collect Earth Online sample-plot cross-validation for NBS projects.

GeoJSON IntakePolygon AreaBoundary OverlayCEO v2 Validation

Institutional Audit Reports

Every verification generates a tamper-evident PDF with complete methodology citation, uncertainty breakdown, geospatial annex (when coordinates provided), and a SHA-based verification hash for chain-of-custody.

PDF ExportVerification HashMethodology AnnexGeospatial Annex

Registry On-Chain

Verified carbon credits are minted as non-fungible tokens (NFTs) directly on Ethereum or Sepolia, providing a permanent, censorship-resistant on-chain registry. Each credit's lifecycle — from verification to retirement — is fully traceable via block explorers with no central database dependency.

Carbon NFT Smart ContractEthereum MainnetSepolia TestnetOn-Chain Audit Trail

Immutable Process & Anti-Greenwashing

Every verification step is logged with a cryptographic hash chain, making retroactive alteration detectable. AURA AI cross-references project claims against satellite evidence, historical land-use records, and additionality data to flag inflated baselines. The platform enforces conservative P10 uncertainty floors, mandatory ≥20% BC discount, and dual-model AI plausibility scoring — no credit is ever over-stated.

Cryptographic Audit TrailAI Plausibility DetectionConservative P10 FloorDouble-Mint Prevention

Standards Reference

Methodology Standards

Each engine references the precise published standard applicable to its carbon credit type. All citations are included verbatim in the exported audit report.

IPCC AR6 WG3 Ch.12

Green Carbon, NBS, CDR — biomass equations, AGB/BGB ratios, CDR lifecycle factors

VCS / Verra Protocol v2

Green Carbon, NBS — AFOLU VM0007/VM0015/VM0032/VM0033 buffer pool accounting

CarbonPlan AA-1/2/3

NBS, CDR — additionality tiers: avoided conversion, improved management, restoration

Puro.earth CoC + Buffer

CDR — Certificate of Conformity, permanence buffer pool, Chain of Custody

ISO 14064-2:2019

CDR — GHG project quantification, monitoring, and verification lifecycle boundary

Open MRV (2024)

NBS, CDR — full Scope 1+2+3 leakage boundary accounting

Isometric NBS/CDR-MRV

NBS, CDR — uncertainty quantification at k=2 (95% confidence interval)

Regen Network ICS v1.2

NBS — Eco-Credit Framework ECC-A/B/C credit classes, biodiversity co-benefit

Collect Earth Online (CEO v2)

NBS — FAO OpenForis satellite reference sample plot validation

IUCN NbS Global Standard

NBS — biodiversity co-benefit assessment and ecosystem integrity

Verra CDR Protocol v2.0

CDR — MRV discounting framework for engineered carbon removal

Oxford CDR Principles (2021)

CDR — permanence classification: physical, chemical, and biological storage

How It Works

Verification Workflow — 4 Steps

Submit Project Data

Complete the structured intake form for your carbon type. Upload satellite imagery, field measurements, GeoJSON boundaries, and project specifications. NBS projects have an optional satellite analysis pre-step.

Satellite & Geospatial Analysis

Automated NDVI vegetation classification and RGB composite overlay. GeoJSON polygon area computation, coordinate validation, and (for NBS) Collect Earth Online reference-plot cross-validation.

Engine Calculation + AI Consensus

Methodology-specific engine computes gross sequestration/removal, applies leakage, uncertainty, permanence, and framework discounts. AURA AI (DeepSeek + Gemini) independently scores plausibility and integrity.

Export Verified Report

Download an institutional-grade PDF containing the verified net carbon credit (tCO₂e), full uncertainty breakdown, all methodology citations, geospatial annex, and a tamper-evident SHA verification hash.

Data Requirements

Universal Input Requirements

All Carbon Types

Project name, description, and country/region
Project start and end dates
Project area (hectares)
GeoJSON boundary polygon (for geospatial annex)
Contact information and project ownership documentation

Satellite / Imagery Inputs

High-resolution satellite imagery (Sentinel-2, Landsat, or equivalent)
NDVI heatmap or vegetation index layer (optional — auto-generated)
RGB composite overlay for visual boundary verification
NBS: Collect Earth Online sample-plot validation file
Image acquisition date and cloud-cover metadata

Verification & Audit Trail

SHA-based verification hash — generated automatically on export
All methodology citations appear verbatim in the PDF report
Uncertainty discount breakdown is explicitly itemised
4-framework consensus weights are disclosed in the results
Geospatial annex included when GeoJSON coordinates are provided

AURA AI Scoring

DeepSeek model — primary plausibility and anomaly detection
Gemini model — secondary validation and narrative consistency
Consensus integrity score: High / Medium / Low classification
Model agreement % reported alongside individual scores
AI summary included in the exported PDF audit report

Carbon NFT

Carbon NFT Minting Workflow

Athlas Verity supports on-chain carbon credit minting as non-fungible tokens (NFTs) via the CarbonNFT smart contract, deployed on both Ethereum Mainnet and Sepolia Testnet. This section details the complete minting lifecycle — from user request to on-chain verification.

Ethereum Mainnet

Contract:0x50987200Bb1BFb56939eb7b8965c3033d7e82Cf8

Network:Ethereum

Fee Token:CAFI

Sepolia Testnet

Contract:0xA0071eDC6823f8b181Fa518FA2D69748b3bDF584

Network:Sepolia

Fee Token:CAFI (Test)

Minting Lifecycle — 4 Stages

From project request to on-chain minting, the entire lifecycle flows through four distinct stages.

1. Request Mint

Status: Request Mint

The user navigates to the Tokenized Your Credits section on the Dashboard, selects a verified project with carbon credits, and clicks Request Carbon Mint. A modal prompts the user to enter their Ethereum wallet address (0x...).

Wallet address is saved to the user's profile in the database.
A carbon_nft_approvals record is created with status requested.
The user's Dashboard updates: Mint Status → Awaiting Approval, Tokenize button remains disabled.

2. Admin Approves

Status: Awaiting Approval

The platform admin (verifier) reviews the request in the Admin → Carbon NFT panel. The verifier selects the carbon type (1–5), tonnage, duration, and token URI, then clicks Approve Mint. This triggers the approveMint() function on-chain.

An Ethereum transaction is sent via MetaMask (or connected wallet).
The MintApprovalCreated event is emitted on-chain with the approvalId.
The /api/carbon-nft/sync-approval endpoint decodes the transaction receipt and updates the DB record status from requested → pending, storing the on-chain approvalId.
The user's Dashboard updates: Mint Status → Ready to Mint, Tokenize button becomes active.

3. User Mints NFT

Status: Ready to Mint

The user clicks Tokenize on their Dashboard. A confirmation modal appears displaying the fee breakdown:

CAFI token fee — calculated as FEE_PER_TON × tons, fetched on-chain from the CarbonNFT contract.
ETH gas estimate — estimated transaction gas cost for the mint.
Balance checks for both CAFI and ETH at the connected wallet address.
User clicks Confirm & Pay → MetaMask opens for mintWithApproval() transaction.

4. Minted — On-Chain Verification

Status: Minted

After the mint transaction is confirmed on-chain, the Dashboard performs a dual-layer verification:

On-Chain verification — calls CarbonNFT.getApproval(approvalId) to read the used flag directly from the smart contract.
Database fallback — DB status is synced from the carbon_nft_approvals table.
On-chain data always takes priority, preventing double-minting even if the DB is out of sync.
The user's Dashboard updates: Mint Status → Minted 🟢, Tokenize button is replaced with a Tokenized badge (disabled).
A Recent Alert notification is created: 🌿 NFT Minted — [project name].

Key Contract Functions

approveMint(address,uint8,uint256,uint256,string,uint256)

Admin function. Creates a mint approval with recipient, carbon type (1–5), tonnage, duration, token URI, and expiry timestamp. Emits MintApprovalCreated event.

mintWithApproval(uint256 approvalId)

User function. Mints the carbon NFT using a valid approval. Requires CAFI token allowance. Sets the approval used flag to true.

getApproval(uint256)

View function. Returns approval details: recipient, carbon type, tonnage, duration, token URI, expiry timestamp, and used status.

FEE_PER_TON()

View function. Returns the CAFI token fee required per ton of carbon credit.

Carbon Types (On-Chain)

Green Carbon

uint8

Blue Carbon

uint8

Renewable Energy

uint8

Carbon Removal (CDR)

uint8

Nature-Based Solution

uint8

API & Integrations

Programmatic access and enterprise integration

For programmatic access to Athlas Verity verification services — including API submission of project data, automated report retrieval, and integration with external carbon registries or trading systems — contact our technical team at busdev@carbonfi.io to receive API documentation and authentication credentials.

The platform also supports wallet-connected authentication (Web3) via the Wallet Connect integration available in the header, enabling token-gated access and on-chain credit issuance workflows.