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The free tool below runs entirely in this browser — no account, nothing stored or transmitted. Redact anything you would not want kept before you type it.
Open the companion tool →Why algorithmic credit decisions require specific reason disclosures
Complex credit scoring algorithms combine alternative data and behavioral models that must still comply with statutory adverse action notice requirements.
Requesting the specific principal reasons for a credit decision allows you to identify data errors, dispute incorrect records, and improve targeted financial factors.
The protocol
- Locate the adverse action letter or notice from the lender or card issuer.
- Identify the credit scoring company, model name, and the 4 to 5 key factors listed.
- Obtain your free credit reports from the major nationwide bureaus to verify data accuracy.
- Draft a formal written inquiry asking the lender to clarify ambiguous factor codes.
- File disputes directly with credit bureaus for any inaccurate tradelines or inquiries.
What the tool does
Build an algorithmic credit scoring explanation request record It runs locally in this browser and sends nothing.
Limit first: This is a preparation aid, not authentication, legal, financial, medical, or emergency advice. It cannot inspect accounts, verify identities, contact an organization, or guarantee an outcome.
Open the companion tool →One human next step
Review your credit reports at AnnualCreditReport.com. If you suspect discriminatory or unlawful algorithmic credit practices, file a complaint with the Consumer Financial Protection Bureau (CFPB).
Research log and safety checks
AI-assist path: not used for a verdict. This builder organizes the reader's own records and directs them to an independent source; it does not infer authenticity or legal rights. §6.10: not a frontier-pace topic.
§0.5 protection result: category is rights-recourse; crisis-adjacent: no; fear/urgency/scarcity toolkit used: no. The protective function is free and the paid feature is convenience only.