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.
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 Credit Types & Methodologies
Green Carbon
Terrestrial Forest & Land-Based Sequestration
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
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
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
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
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)
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.
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.
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.
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.
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.
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.
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.
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.
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
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 support@athlasverity.xyz 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.