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Data product · Servicing & regulatory · CFPB

Dispute / Complaint-Intelligence

A card-scoped, de-noised, narrative-enriched product over CFPB complaints - emerging-theme detection before the regulator's annual report.

≈528,000verified
card complaints (Credit card 321,619 + Credit card or prepaid card 206,356)
53,855verified
top issue: 'Problem with a purchase shown on your statement'
≈33%verified
relief rate (monetary relief 49,266 of closed)
26,859verified
Chase complaints (vs Citi 39,378 · Cap One 38,457 · Synchrony 26,380)
99.94%verified
Chase timely response (26,844 Yes vs 15 No) - differentiate on issue-mix, not timeliness
+67%verified
general-purpose card complaints vs 2023 (CFPB 2024 Annual Report; cards = #3 product)
The problem

Billing disputes are the #1 card complaint theme and accelerating. ~33% of resolved card complaints get monetary or non-monetary relief - a hard ROI signal currently buried in unstructured narratives.

The data-product gap

Raw CFPB data splits across two `product` labels (a taxonomy change), uses shifting issue enums, has messy company names, and only ~53% of complaints carry consented free text. The 16M-row database is ~80% credit-reporting noise - no stable, de-noised, card-scoped, narrative-enriched product exists.

The solution, on the platform

  1. 1

    Ingest the CFPB API daily delta, filtered to product ∈ {Credit card, Credit card or prepaid card}.

  2. 2

    Bronze→Silver: unify the taxonomy, normalize company→Chase, spam/bulk-filter.

  3. 3

    Gold: LLM-enriched narratives (theme / severity / root-cause / preventability) on the consented ~53%, joined to internal dispute/chargeback + CSAT.

  4. 4

    GenAI on the curated product (Genie-style): 'show the top emerging themes this week.'

  5. 5

    Governed by contract + entitlements: PII scrubbed; a vulnerable-population tags lens.

CFPB API daily deltaTaxonomy unificationLLM narrative enrichmentGenie-style NL queryContract + PII-scrub entitlement
Caveat

2025 complaint volume doubled to ~6.6M (credit-repair / AI bulk filings) - the product must de-noise before any theme is trusted. CFPB aggregation live-verified 2026-06-26.

Success scorecard

Leading
  • ›Complaints per 100K accounts by issue
  • ›Week-over-week velocity
  • ›Theme-emergence rate
Lagging
  • ›Monetary-relief rate
  • ›Chase-vs-peer issue-mix gap
  • ›Repeat-issue reduction after a fix ships
Business
  • ›Relief avoided
  • ›Regulatory-risk reduction
  • ›Dispute cycle-time
  • ›Self-serve deflection

Sources and method

Live · enforced in the database Public · cited Synthetic · illustrative
  1. 01
    CFPB Consumer Complaint Database - live aggregation 2026-06-26 (DB total 16,093,652);
  2. 02
    CFPB 2024 Annual Report to Congress - credit cards #3 most-complained product;
  3. 03
    2025 volume surge - ≈6.6M complaints driven by credit-repair / AI bulk filings - de-noising is a product requirement.
Synthetic cardholder dataFictional partnerIllustrative model metricsCited market context