Platform, layer 1, data
Data & API: 70+ sources in a single data model, traceable to the origin
Public, regulatory and global sources integrated and updated daily, organized by CNPJ, CPF, land parcel, contract and portfolio, and delivered via API, batch, dashboard, assessment report and alerts.
Each data point records its source and the date of its latest collection.
- Legal name
- Exemplo Agroindustrial Ltda.
- CNPJ
- EX.EMP.LO1/0001-07
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Receita Federal
Active status
EV-2026-09-30-0412 -
IBAMA
No findings
EV-2026-09-30-0423 -
CNJ
2 active lawsuits
EV-2026-09-30-0425 -
INPE PRODES
No alert
EV-2026-09-30-0426 -
OFAC
No findings
EV-2026-09-30-0429
Context
ESG data only serves a decision when you know where it came from.
One-off lookups and spreadsheets deliver the result, but rarely the trail. For audit, supervision and committees, each attribute needs to carry its source, its collection date and the version of the methodology that turned it into risk.
Verifiable by design. Every data point with source, date, version and evidence. Ready for audit and supervision.
Sources
70+ public, regulatory and global sources
Examples by group. The full list and each source's update schedule are in the Methodology.
| Group | Sample sources | What it feeds |
|---|---|---|
| Registration and corporate | Receita Federal (registration status, CNAE, legal nature, ownership structure), Dívida Ativa (federal tax debt) | Registration Data and CNAE, Corporate Structure, Tax Compliance |
| Legal and integrity | Lawsuits in the courts and at the CNJ, CEIS, CNEP, TCU, CVM | Critical Lawsuits, Integrity and Anti-corruption, Global Risk Lists |
| International sanctions | OFAC, United Kingdom, European Union, Interpol, UN | Global Risk Lists |
| Socio-environmental and labor | IBAMA and ICMBio (infraction notices and embargoes), MTE, Workplace Accident Reports (CAT) | Socio-environmental and Environmental Embargoes, Environmental Infractions, Occupational Health and Safety |
| Media | News and adverse media | News and Adverse Media |
| Geospatial and territorial | INPE (PRODES, deforestation), SICAR (Rural Environmental Registry), vegetation clearing permits (IBAMA), permanent preservation areas (MMA), Indigenous lands (FUNAI), quilombola territories (INCRA) | Property and land parcel checks, Climate Risks |
| Climate | Climate and forecast data, updated daily | IRC-ESGreen, Climate Risks |
Methodological references
- Global
- GRI, UN Global Compact, TCFD, World Economic Forum, MSCI, Sustainalytics, CDP, IFRS, SASB
- Domestic
- Central Bank of Brazil, CVM, ISE B3, FEBRABAN, ANBIMA, ABNT
- Public data
- IBAMA/MMA, MTE, Receita Federal, CNJ, ICMBio/MMA, IBGE, INPE, MapBiomas, SEEG
References used in developing the methodology. They do not represent a partnership or endorsement.
Data model
From CNPJ to land parcel.
Company, person, property, transaction and portfolio are linked in the same model. A record on one entity shows up on every entity that depends on it.
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Company
Key CNPJ
Registration status, CNAE, legal nature, ownership structure, lawsuits, certificates, lists and sanctions, ESGreen Score
-
Person
Key CPF
Partners and directors, related people, politically exposed persons (PEPs)
-
Property and land parcel
Key Coordinate
Crop, crop stage, forecast weather, territorial overlaps
-
Operation
Key Contract
Product type, collateral, coverage, transaction and borrower history
-
Portfolio
Key Set of transactions
Concentration by state, sector and crop, average IRC, exposure in reais (BRL)
Ready for the alphanumeric CNPJ issued by Receita Federal (RFB IN 2,229/2024) starting in July 2026.
Verification
Every data point with source, date, version and evidence.
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Source
Every record shows its source database.
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Date
Every record shows when it was collected, and each IRC-ESGreen run is dated.
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Version
Scores and indices record the version of the methodology that calculated them.
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History
The ESGreen Score keeps the score's history, and Monitoring keeps records, scores and case protocols with the counterparty.
Illustrative data Source: IBAMA, collected on , methodology score-v3.2
Each result can be traced back to its source.
Delivery and integration
In the credit pipeline, in the procurement ERP, in committee.
Via API, batch, dashboard, assessment report or alert.
- API Lookup within the origination, qualification or monitoring flow.
- Batch Entire bases of CNPJs, CPFs or operations processed at once.
- Operational dashboard Ranking, filters and a 360° view of the counterparty.
- Executive dashboard Portfolio gauge, map and scenarios.
- Assessment report per operation Attachable to the credit file and to reporting.
- Alerts By event, by type and by affected counterparty.
- Regulatory reporting Evidence for the Central Bank, SUSEP, audit and IFRS S2.
API available on request. The integration is defined in each institution's project.
{
"cnpj": "EX.EMP.LO3/0001-98",
"scoreEsgreen": { "valor": 563, "escala": "0-1000", "sentido": "quanto maior, menor o risco" },
"ocorrencias": [
{
"camada": "Infrações Ambientais",
"fonte": "IBAMA",
"coletadoEm": "2026-09-30T08:53:00-03:00"
}
],
"metodologia": "score-v3.2",
"calculadoEm": "2026-09-30T09:10:00-03:00"
}For those who integrate, protect and audit the data
-
IT and architecture
Delivery formats, API and batch processing for the credit workflow, the procurement ERP and the compliance system.
-
Data and analytics
Data by entity, with origin and date, ready for internal models and dashboards.
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Risk and modeling
Inputs by counterparty, land parcel and contract for risk appetite and stress testing.
-
Information security
Information for supplier due diligence, on the Trust page.
-
Audit and assurance
Lineage, methodology version and dated runs to test every number.
Trust
Ready for supplier due diligence.
Financial institutions assess who processes their data, as required by CMN Resolution 4,893. The Trust page covers hosting, access control, personal data protection (LGPD) and responsible use of AI. Supplier due diligence materials are sent on request.
Regulation
Data at the level of detail the rules require
- BCB 586 and BCB IN 772 (new GRSAC) Exposures by sector and CNAE, agribusiness by biome, and exposure to drought and heavy rain by region, as set out in the public consultation that gave rise to the rule (CP 127).
- BCB 151 (DRSAC) Social, environmental and climate risk signals by counterparty.
- CMN 5.268 In rural credit, deforestation checks against PRODES and documented, auditable remote monitoring.
- CMN 4.893 Due diligence on data processing and storage providers.
- LGPD Processing of personal data of partners, directors and related people on a defined legal basis and for a defined purpose.
The platform supports the institution's compliance with regulations, with data, evidence and an audit trail. Informational content; it does not constitute a legal opinion.
The foundation of the entire platform
- public, regulatory and global sources integrated
- 70+
- companies assessed and monitored
- 100K+
- institutions using ESGreen's infrastructure
- 60+
- critical risk layers in the ESGreen Score
- 12
Data as of Sep 2026. Source: ESGreen database.
The ESGreen Insights project, published in the LIFT Papers 2026 (Central Bank of Brazil and Fenasbac), describes the automatic integration of institutional databases, geospatial data and registration and legal information into a single risk profile.
A score is only worth something if it can be explained.
The list of sources, the update schedule and model governance are in the Methodology.
Frequently asked questions
Short answers to the most common questions.
Still have questions? Talk to an expert
Which sources does ESGreen integrate?
70+ public, regulatory and global sources, including Receita Federal, Dívida Ativa (federal tax debt), lawsuits, CEIS, CNEP, TCU, CVM, IBAMA, ICMBio, MTE, international sanctions lists (OFAC, UK, European Union, Interpol and UN), news and climate data.
How often is the data updated?
The database is updated daily, and each source follows its own publication schedule, described in the Methodology. Each data point records the date of its latest collection. In Monitoring, the ESGreen Score is recalculated monthly and with every relevant new fact; in the IRC-ESGreen, with each daily run.
How do you prove where a number comes from?
Each record shows its source and collection date, and each score or index records the version of the methodology that calculated it. The history is kept for lookup and audit.
How does the data reach the institution's systems?
Via API, batch processing, the operational and executive dashboards, per-transaction assessment reports, alerts and regulatory reporting.
Is there a public API?
The API is made available on request, within each institution's project. To talk about integration, use the contact form.
Does the platform accept the alphanumeric CNPJ?
Yes. The data model is ready for the alphanumeric CNPJ issued by Receita Federal (RFB IN 2,229/2024) starting in July 2026, as well as the numeric format.
How is personal data processed?
Data on partners, directors and related people is processed on a defined legal basis and for a defined purpose. The legal bases provided for in the LGPD, the data protection officer and the data subject channel are described on the Trust page.
Bring the evidence into your own systems.
Book 30 minutes with ESGreen to map sources, formats and integration with your workflow.
- Demo with cases from your segment
- Pre-assessment of CNPJs in your base
- Climate exposure readout for operations and assets
Or write to contato@esgreen.com.br