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PTI and Credit Bureaus

Credit bureaus aggregate formal credit histories — tradelines, inquiries, public records, and bureau scores — for regulated lending decisions. PTI explicitly does not replace credit bureaus. It extends trust evaluation to thin-file populations and non-lending contexts while composing bureau data where available.

1. What credit bureaus are​

Credit bureaus (credit reference agencies) are centralized repositories of consumer and commercial credit information reported by lenders, utilities, and public sources. They provide:

  • Credit reports — tradeline history, balances, delinquencies
  • Credit scores — statistical models (FICO, VantageScore, bureau-specific indices)
  • Inquiry records — who accessed the file and when
  • Dispute resolution — consumer correction workflows
  • Regulatory frameworks — FCRA, GDPR, POPIA, and local credit reporting laws

Bureaus optimize for formal financial repayment history within jurisdictions where reporting is mandatory and comprehensive.

2. What problem credit bureaus solve​

ProblemBureau response
Lender needs repayment historyCentralized tradeline file
Portfolio risk benchmarkingPopulation-level score distributions
Fraudulent identity on credit appInquiry patterns, file consistency
Regulatory credit reporting dutyStandardized furnish-and-pull model

Bureaus answer: What is this subject's documented formal credit history? They typically exclude rental ledgers, gig income, community savings groups, merchant seller history, and cross-border informal activity — leaving large populations thin-file or no-file.

3. What PTI adds​

Credit bureaus

  • Formal tradeline credit files
  • Bureau scores for lending
  • Regulated pull-and-permissible-purpose model

PTI adds

  • Non-bureau trust signals — digital lender, rental, merchant, community
  • Context isolation — lending score ≠ rental score
  • Thin-file inclusion — credibility from real activity, not absence of tradelines
  • Explainability — drivers and coverage gaps, not one opaque number

PTI is trust infrastructure, not a credit bureau. Where bureau pulls are permissible and available, institutions should continue using them — and may treat bureau outcomes as inputs to PTI-enriched decisioning or parallel policy paths.

4. How they compose together​

Integration pattern:

  1. Institution runs standard bureau pull where regulation and data availability require it.
  2. Parallel or sequential PTI trust lookup for lending context — incorporating partner-reported repayment, mobile-money patterns, and community validation.
  3. Credit policy engine weights bureau score and PTI drivers — with explicit coverage_gaps when bureau file is thin.
  4. For rental, employment, or merchant decisions, bureau data may be irrelevant — PTI provides context-native intelligence.

Adverse-action and fair-lending obligations remain with the institution; PTI supplies structured explainability artifacts (explain_score.v1) to support those workflows.

5. When to use each​

ScenarioCredit bureauPTI
Regulated mortgage underwriting with full fileRequired where mandatedOptional enrichment
Digital microloan to thin-file borrowerLimited bureau valueHigh value
Tenant screeningBureau sometimes usedPTI rental context primary
Employer background trust checkNot applicablePTI employment context
Cross-MFI repayment portabilityBureau may lagPTI core use case

Rule of thumb: use bureaus for formal credit file requirements; use PTI when decisions need portable, multi-source, context-scoped trust beyond the bureau perimeter.

See also​