Vai al contenuto principale
avoidance Afghanistan Listed Credits Solo marketplace General Methodology v2.0

AFG/REC/SLR/VER/11032026/00025

OG-69b141e3

0.9 / 10
Integrity
1.5
Transparency
0.0
Claim Safety
1.2
Documentation
0.5

Score Breakdown

Integrity

missing Baseline, additionality, leakage treatment, and any permanence risk controls were not found in the extracted record because no documents were available

inferred The project is labeled as an avoidance credit type, but permanence/reversal provisions (e.g., buffer pool, reversals) are not evidenced in any document

Transparency

missing No monitoring/verification details (VVB name, monitoring period, errors, methods) were found in the extracted record

missing Registry/documentation completeness is effectively absent in the extracted record (no evidence documents listed)

Claim Safety

missing Over-crediting risk cannot be assessed because baseline method, leakage justification, and any usage/soil carbon quantification approach are not evidenced

inferred Eligibility/labels that affect claims (e.g., CORSIA/CCP status) were not found in the extracted record

Documentation

missing Zero documents were used and no evidence documents were listed in the extracted record

missing Low extraction confidence suggests document quality/readability issues that undermine reliability

Detailed Analysis

Integrity

No official project documents were available in the extracted record (0 documents used; no evidence documents listed), so additionality testing, baseline approach, leakage treatment, and any permanence controls cannot be verified. The low extraction confidence further increases the likelihood that key integrity-relevant details are missing or unreadable. Given the sector classification of soil carbon, the absence of any stated reversal risk management (e.g., buffer pool or reversal reporting) is a major evidence gap.

Transparency

Transparency is very weak because the extracted record contains no monitoring report, verification report, or PDD references (no evidence documents listed). As a result, basic MRV elements such as the VVB identity, monitoring period, and any quantified uncertainty or error checks are not available. The low extraction confidence also reduces confidence that public-facing documentation is complete or legible.

Claim Safety

Claim safety is low because there is no evidence in the extracted record for the baseline method, leakage justification, or quantification approach—key determinants of over-crediting risk. No information was found on CORSIA eligibility or CCP status, so potential claim-channel risks cannot be screened. With no documents to corroborate listed credits, any public claims would be difficult to substantiate based on available evidence.

Documentation

Documentation quality is extremely poor in the extracted record: no evidence documents were captured and the number of documents used is zero. The minimum extraction confidence is low, indicating at least one key source was poorly readable, which further undermines completeness and reliability. Without core documents (PDD, monitoring, verification), independent review and replication are not possible from the extracted record.

Overall

There are no listed contradictions in the extracted record, but the absence of any underlying documents and the low extraction confidence are themselves critical reliability issues. With no documentary basis to validate additionality, baseline, leakage, permanence controls, or MRV, the project scores very low across all dimensions. Note: under the gate rules, the very low documentation score would cap transparency post-scoring, and the low integrity score would cap the overall score post-scoring.

Audit Analysis

The extracted record contains no usable project documentation, so core quality elements (baseline, additionality, leakage, and monitoring) cannot be validated. Given the low readability flag and zero documents used, the risk of over-crediting and weak substantiation is high based on available evidence.

Project Description

Verify on BlockChain BRA/NCA/undefined/VER/23052025/00001 Pará, Brazil Listed Credits - 5000 | Total Credits - 10000 | Partially | Transferable | More credits ? Nature-based Credits for Agriculture OG Score - 95 $ 8.5 per Credits Bid

Red Flags

  • No project documents were available in the extracted record (0 documents used), preventing validation of baseline, additionality, leakage, and MRV
  • Minimum extraction confidence is low, indicating at least one key document was poorly readable and increasing the risk of missing or misread critical details

Credit Vintages

Nessuna emissione registrata sul registro.

Cosa migliorerebbe questo punteggio

  • Provide and index the core VCS documents (PDD, monitoring report(s), verification report(s), and issuance/registry records) so baseline, additionality, leakage, and MRV can be independently checked
  • Resolve the low readability/extraction issue by supplying machine-readable PDFs or higher-quality scans and re-extracting key quantitative fields (baseline parameters, leakage deductions, uncertainty/error, and any permanence/buffer provisions)

Questi suggerimenti indicano quali prove pubbliche aggiuntive potrebbero migliorare il livello di confidenza di questa valutazione. Non garantiscono un punteggio futuro più alto.

Risk Indicators

Additionality

No additionality assessment found

Permanence

Reversal controls not evidenced

Leakage

No leakage treatment found

Baseline

No baseline method found

Safeguards

No safeguards evidence found

Double-claim

CORSIA/CCP status not found

Where to buy

Marketplaces

+ Know where to buy this?

Listing multiple projects? Send us a CSV at [email protected].

⚑ Dispute this rating
Analysis Provenance Scored 2026-04-02 General Methodology v2.0 Solo marketplace

Sei il proprietario di questo progetto?

Correzione metadati (gratuita)

Nome, paese, marketplace o link errati? Segnalacelo.

Non modifica lo score.

[email protected]

Rivalutazione con nuovi documenti

Hai documentazione aggiornata non ancora inclusa? Puoi richiedere un nuovo run della pipeline con i nuovi input.

Invia Documenti