Inferensys

Glossary

Carbon Disclosure Project API

An application programming interface that enables the automated exchange of corporate environmental impact data with the CDP's global disclosure system for standardized reporting to stakeholders.
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Environmental Data Interchange

What is Carbon Disclosure Project API?

A programmatic interface enabling automated, standardized exchange of corporate environmental impact data with the CDP's global disclosure system.

The Carbon Disclosure Project API is an application programming interface that enables organizations to programmatically submit and retrieve environmental performance data—including Scope 1, 2, and 3 emissions, water usage, and deforestation metrics—directly to and from the CDP's centralized disclosure platform, bypassing manual portal entry. This machine-to-machine connection ensures data consistency, reduces reporting latency, and aligns disclosures with frameworks like the Task Force on Climate-related Financial Disclosures (TCFD).

By integrating the API into enterprise resource planning and sustainability management systems, companies automate the extraction of activity data from source systems, transform it into CDP-compliant schemas, and transmit it for investor and stakeholder analysis. The API supports real-time validation against CDP's question-level requirements, returning structured error responses that enable immediate correction, thereby maintaining a continuous audit-ready posture for annual and ad-hoc reporting cycles.

AUTOMATED DISCLOSURE INFRASTRUCTURE

Key Features of the CDP API

The Carbon Disclosure Project API provides a programmatic interface for the automated exchange of corporate environmental impact data with the CDP's global disclosure system, enabling standardized, auditable reporting to investors, customers, and stakeholders.

01

Standardized Questionnaire Submission

The API enables programmatic completion and submission of CDP's annual climate change, water security, and forests questionnaires. Organizations can map internal data schemas directly to CDP's question identifiers, eliminating manual data entry and reducing transcription errors.

  • Supports the full CDP question set with versioned schema validation
  • Enables bulk submission across multiple reporting entities and subsidiaries
  • Returns real-time completeness checks and validation errors before final submission
02

Automated Emission Factor Integration

The API integrates with CDP's emission factor database to automatically convert activity data into CO2 equivalent (CO2e) values. This ensures consistent application of Global Warming Potential (GWP) factors across all reporting periods.

  • Pulls the latest emission factors for Scope 1, 2, and 3 calculations
  • Supports region-specific grid emission factors for electricity consumption
  • Maintains an audit trail of which factor version was applied to each data point
03

Third-Party Verification Workflow

The API supports the end-to-end verification lifecycle, allowing accredited third-party auditors to access, review, and sign off on disclosed data directly through the platform. This streamlines the assurance process required by many institutional investors.

  • Enables role-based access for external verification providers
  • Supports version locking of data sets under review
  • Returns verification status and auditor commentary via API endpoints
04

Supply Chain Disclosure Hub

CDP's supply chain module allows corporate buyers to request and track environmental disclosures from their suppliers through the API. This enables automated Scope 3 Category 1 (Purchased Goods & Services) data collection at scale.

  • Programmatically invite suppliers to disclose and track response status
  • Aggregate supplier emission data into a normalized data model
  • Compare supplier performance against industry benchmarks and reduction targets
05

Real-Time Score & Benchmarking Retrieval

The API provides access to CDP's scoring methodology results, returning letter grades (A through D-) and detailed category scores as soon as they are published. This enables automated integration of CDP scores into internal supplier scorecards and procurement systems.

  • Retrieve current and historical scores for any disclosing entity
  • Access category-level breakdowns (Governance, Risks, Targets, etc.)
  • Benchmark against sector averages and peer group percentiles
06

Webhook-Driven Disclosure Events

The API supports event-driven architecture through configurable webhooks that notify integrated systems of key disclosure milestones. This enables real-time synchronization between CDP's platform and internal sustainability management systems.

  • Trigger notifications on submission deadlines, score publication, and verification completion
  • Receive alerts when suppliers respond to disclosure requests
  • Integrate with internal workflow engines to automate follow-up actions
CDP API INSIGHTS

Frequently Asked Questions

Clear answers to common questions about integrating with the Carbon Disclosure Project's API for automated environmental data exchange and standardized reporting.

The Carbon Disclosure Project API is a RESTful application programming interface that enables organizations to programmatically submit, retrieve, and manage their environmental impact data—including greenhouse gas emissions, water usage, and deforestation metrics—directly to the CDP's global disclosure system. The API operates over HTTPS with JSON-formatted payloads and uses OAuth 2.0 for authentication. It replaces manual data entry through the CDP portal by allowing your internal systems, such as an Emission Inventory Boundary management tool or a Lifecycle Assessment Engine, to push structured data directly into CDP's standardized questionnaires. The API supports bulk data operations, real-time validation against CDP's scoring methodology, and automated retrieval of disclosure scores and peer benchmarking data, making it a critical component for enterprises pursuing Science-Based Target Alignment and automated sustainability reporting.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.