{"uid":"cap_4SzQTh8cVnFwnTxTxyzjR","slug":"numeric-precision-comparisons-equal-width-histogram-date-by-category-d82dbb2a","name":"Numeric Precision Comparisons — Equal-Width Histogram + Date by Category Pivot","description":"Numeric precision comparisons — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-173?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_value","transformed_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"transformed_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_value":10,"dataset_group":"group-a","transformed_value":1},{"date":"2026-10-02","row_id":"row-2","source_value":20,"dataset_group":"group-b","transformed_value":2},{"date":"2026-10-03","row_id":"row-3","source_value":15,"dataset_group":"group-a","transformed_value":3},{"date":"2026-10-04","row_id":"row-4","source_value":30,"dataset_group":"group-b","transformed_value":4}],"maxItems":200,"minItems":1},"field":{"enum":["source_value","transformed_value"],"type":"string","default":"source_value"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_5n-21NUgNSF3sJo0Cdvzv","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates two local analytical reports (equal-width histogram and date-by-category pivot) for supplied numeric precision comparison data (source_value vs transformed_value) across up to 200 rows.","exampleAgentPrompt":"I have 4 rows of numeric precision comparison data — source values 10, 20, 15, 30 paired with transformed values 1, 2, 3, 4, grouped as group-a and group-b from dates 2026-10-01 to 2026-10-04. Can you run an equal-width histogram with 5 bins on the source_value field, plus a date-by-category pivot, and give me both reports?","exampleUseCases":[{"title":"ETL pipeline transformation audit","prompt":"I've got 150 rows from our ETL run — each row has a source_value and a transformed_value, a dataset group, and a date. Can you generate a 10-bin equal-width histogram on source_value plus a date-by-category pivot so I can see how values distributed and how they changed across groups?"},{"title":"Data quality check after normalization","prompt":"After normalizing our sensor readings, I have 80 rows comparing original readings (source_value) to normalized ones (transformed_value) across three groups and dates in October 2026. Run both the histogram with 8 bins and the date-by-category pivot on the transformed_value field so I can spot any anomalies."},{"title":"Financial model input validation","prompt":"I have 200 rows of financial model inputs where source_value is the raw figure and transformed_value is the adjusted one, split across 5 portfolio groups with daily dates. Give me a 5-bin equal-width histogram and a date-by-category pivot on source_value so I can validate the distribution before we publish the report."}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied data: (1) an equal-width histogram showing bin ranges and row counts for the chosen field (source_value or transformed_value) across up to 30 bins, and (2) a date-by-category pivot summarizing numeric values grouped by date and dataset_group — all without any external lookup or prediction.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) — validation error","Missing required row fields (row_id, dataset_group, date, source_value, transformed_value) — schema validation failure","bins value outside 1–30 range — rejected by schema","source_value or transformed_value outside ±1,000,000,000,000 — rejected by schema","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have tabular numeric comparison data (source vs transformed values) segmented by group and date, and need both a frequency distribution histogram and a date-by-category pivot in a single low-cost call. Ideal for ETL validation, data transformation audits, or any scenario where you want to understand the distribution and temporal/categorical breakdown of numeric precision differences without external dependencies. At $0.01 USDC for two reports on up to 200 rows, it's highly cost-effective for batch analytical passes.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:56.346Z","isFirstParty":false,"canonicalSlug":"numeric-precision-comparisons-equal-width-histogram-date-by-category-d82dbb2a"}