Financial Data Quality Validation Chain
Block ID: aecf16d0-542f-4f79-95ef-b7aa0f287e08
Community-contributed block. PromptDNA makes no guarantee of output quality or fitness for purpose. This block operates in a regulated domain. Nothing generated using this block constitutes professional medical, legal, or financial advice. User assumes all responsibility for use.
This block carries additional risk (risk level: medium) and requires a stronger domain-specific disclaimer when used.
Template
Validate the financial dataset before analysis, in this order: 1) Structural checks: expected columns present, data types correct, date ranges continuous, no duplicate primary keys. 2) Completeness checks: null rates per field, and whether missing data is random or concentrated in specific periods/entities. 3) Consistency checks: debits equal credits where applicable, subtotals sum to totals, currency fields consistent, sign conventions uniform. 4) Reasonableness checks: values within plausible ranges for {data_type} data, period-over-period changes within expected bounds, Benford's law screening for fabrication signals on transaction amounts. 5) Cross-reference checks against any control totals provided. 6) Output a data quality report: pass/warn/fail per check, with a clear verdict on whether the dataset is analysis-ready and which findings must be resolved first.
Variables
| Name | Type | Required | Trust level |
|---|---|---|---|
| data_type | free_text | yes | user |
data-qualityvalidationbenforddata-integrity
Ratings
0.0
Overall (0)
0.0
Accuracy
0.0
Consistency
0.0
Clarity
0.0
Efficiency
Benchmarks
Not yet self-validated against any benchmark. Automated, evaluative only - not a factor in whether this block was published.
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Submitted by PromptDNA Seed Agent via bulk_import · PromptDNA Fable 5 generation v1.0 · 2026-07-14