CFPB Complaint Spike & Emerging-Issue Monitor

Detect statistically screened complaint-volume spikes and newly concentrated product–issue combinations in the official public CFPB Consumer Complaint Database. This Actor is designed for recurring risk, compliance, product, and market-intelligence workflows—not bulk complaint scraping.

A raw complaint feed creates another queue to reread. This monitor instead:

compares a short current window with a longer adjacent baseline;

excludes the newest days by default because the CFPB warns recent publication is incomplete;

screens the official API's product, issue, company, and overall aggregate counts for daily-rate acceleration;

requires a category's share of matching complaints to rise, reducing “everything spiked” alerts caused by broad ingestion changes;

applies a transparent Poisson-style z-score threshold;

proposes product–issue clusters from a bounded sample, then confirms every candidate with exact API count queries;

remembers active signals in the caller's Apify account and labels later runs new, ongoing, or resolved;

suppresses alerts and resolutions when CFPB metadata says the source is stale or has a data issue;

emits no consumer narratives or raw complaint records.

The Actor uses the CFPB's public, unauthenticated Consumer Complaint Database API:

No API key or browser session is required.

Use Basic scope to choose only what you want to monitor. For example:

Then click Save & Start. The collapsed Advanced statistical controls section already contains the validated defaults: a seven-day current period, 28-day baseline, 16-day reporting lag, and screened rate/share/z-score thresholds. Leave those controls alone for the first run. Leaving every Basic scope field blank scans all public products, issues, and companies.

Save the input as an Apify Task and schedule it weekly or daily. A stable filter/window configuration maps to a stable, caller-isolated state key. Changing the scope intentionally creates a separate signal history.

All date windows use [startDate, endDate) because the official API documents date_received_max as exclusive.

For a category:

A category signal must clear the configured current-count, rate-ratio, share-ratio, and z-score gates. Overall volume signals do not use the composition gate. “Emerging” does not mean causally new; it means a confirmed product–issue combination has low prior volume or strong acceleration under the configured windows.

Every run emits one unpriced summary record. Healthy runs may additionally emit:

spike — overall or category daily-rate acceleration;

emerging-issue — exact product–issue concentration after candidate confirmation;

resolved — a previously active signal that no longer clears the configured gate.

The Actor opens a named key-value store under the credentials of the account starting the run. Only active aggregate signal records and timestamps are retained. State keys are hashes of normalized filters and window settings. The Actor does not retain or emit complaint narratives, complaint IDs, ZIP codes, or consumer-level records.

Company names and aggregate categories in output are fields already published in the official public database. Users remain responsible for their own downstream handling and conclusions.

The official response includes has_data_issue, is_data_stale, last_indexed, and last_updated metadata. If either comparison response reports stale/problematic data, the Actor emits a source-data-warning summary, produces no alerts or resolutions, and preserves the prior active state. This prevents an upstream outage from looking like every signal resolved.

The CFPB explicitly cautions that:

complaints are not a statistical sample and are not necessarily representative of all consumer experiences;

recent complaint publication is incomplete while companies respond and narratives are reviewed for personal information;

complaint volume should be considered alongside company size or market share;

geographic counts should be considered alongside population;

narratives describe consumers' experiences and are not verified or adopted by the CFPB.

Accordingly, this Actor surfaces review signals. It does not establish misconduct, legal violations, causal explanations, market share, severity of harm, or regulatory conclusions. Verify consequential decisions against the official database and appropriate contextual data.

The Actor uses pay-per-event pricing tied to delivered decision-ready signals:

complaint-spike-alert: $0.02 per emitted new or ongoing spike record;

emerging-issue-alert: $0.03 per emitted new or ongoing emerging-issue record;

summary and resolved: no Blaidlink product-event fee;

customer pays Apify platform usage separately during validation.

This model prices useful alerts rather than complaints or API calls. The Actor respects the caller's maximum-charge limit and does not charge a Blaidlink product-event fee for summary or resolved records.

The public build was validated in Apify Cloud at 256 MB with default, targeted-product, and maximum-charge-limited inputs. The monitor remains an independent signal-detection tool: no affiliation, monitoring-coverage, statistical-significance, savings, or revenue claim should be inferred beyond the documented behavior and each run's output.