CreditParsePro Release v1.2.0

CreditParsePro v1.2.0 has released! This is a significant update that enhances our platform's ability to dissect and interpret credit data. This release focuses on incorporating ECOA codes to distinguish between joint and individual credit accounts and refining delinquency detection including new metrics for recent and worst delinquencies. These enhancements aim to deliver deeper insights and improve the accuracy of credit analyses.

Tradeline Segment Updates

We've enhanced the tradeline segment with detailed payment history tracking:

• ecoa_code: Each tradeline now includes a key-value pair for ecoa_code enabling identification of account ownership type summarized to individual or joint. This addition is crucial for nuanced credit assessments and aligns with industry standard.

Installment and Revolving Tradeline Summaries

We've expanded our summary metrics to provide a clearer picture of credit utilization and account statuses. For both revolving and installment summaries you will see the key metrics split by individual and joint designations.

• installment_utilization_ratio_joint
• installment_utilization_ratio_individual
• open_count_joint
• open_count_individual
• open_sum_joint
• open_sum_individual
• total_count_joint
• total_count_individual

Recent Delinquency Indicators

To enhance the detection of recent payment issues, we've introduced new Boolean indicators. These are present at the overall level as well as at the revolving, installment, and mortgage levels.

• is_most_recent_period_open_non_regular
• is_most_recent_3_period_open_non_regular

Worst Delinquency Metrics

Understanding the severity of delinquencies is vital. We've added metrics to more easily identify the bad tradelines that can often be diluted by averages. You will have the choice to look at the worst overall or worst open payment pattern percent. This metric is available at the overall tradeline level.

• non_regular_payment_percent_past_6_periods_worst
• non_regular_payment_percent_past_12_periods_worst
• non_regular_payment_percent_past_24_periods_worst
• non_regular_payment_percent_past_6_periods_worst_open
• non_regular_payment_percent_past_12_periods_worst_open
• non_regular_payment_percent_past_24_periods_worst_open

Enhanced Credit Analysis Through ECOA Codes

Incorporating ECOA codes addresses a critical gap in distinguishing account ownership. This differentiation is essential for accurate credit modeling and risk assessment, particularly in joint account scenarios.

Improved Detection of Recent Delinquencies

The new indicators for recent non-regular payments enable quicker identification of emerging credit issues, allowing for timely interventions and more responsive credit strategies.

Focused Insights on Severe Delinquencies

By spotlighting the worst-performing tradelines, analysts can better understand and mitigate significant credit risks, ensuring that severe delinquencies are not obscured by overall averages.

Implementation Notes

These new fields are now available in all API responses. No changes to your existing integration are required to access these new fields – they'll automatically appear in your responses.

For detailed documentation on the new fields, visit our GitHub API Documentation.