{"uid":"cap_00qdSyCvtKr6vrnCjVJPS","slug":"data-ingestion-batches-equal-width-histogram-two-measure-correlation-4b250926","name":"Data Ingestion Batches — Equal-Width Histogram + Two-Measure Correlation","description":"Data ingestion batches — Equal-width histogram + Two-measure correlation: Equal-width histogram + Two-measure correlation for supplied data ingestion batches records (received_rows, accepted_rows). 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-01-171?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","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_rows"}}},"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_VIA05BXRkDH8-mslEAgzd","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":"Computes an equal-width histogram and a two-measure Pearson/Spearman correlation for supplied data ingestion batch records (received_rows, accepted_rows) in a single call.","exampleAgentPrompt":"Can you run a histogram and correlation analysis on these data ingestion batch records — use 10 bins on the received_rows field and also calculate the correlation between received_rows and accepted_rows? Here are up to 50 rows with row_id, dataset_group, date, received_rows, and accepted_rows.","exampleUseCases":[{"title":"ETL pipeline data quality audit","prompt":"I have 80 rows of daily ingestion batch records with received_rows and accepted_rows columns. Can you compute a 10-bin equal-width histogram on received_rows and also show me the correlation between received_rows and accepted_rows so I can spot any data loss patterns?"},{"title":"Dataset group distribution review","prompt":"Here are my last 3 months of ingestion batch records — about 150 rows. Run a histogram with 15 bins on the accepted_rows field and give me the correlation report between received_rows and accepted_rows."},{"title":"Ingestion anomaly investigation","prompt":"Something looks off in our data pipeline. Can you take these 60 batch records, build a 5-bin histogram of received_rows, and compute the correlation between received_rows and accepted_rows to see if acceptance rate is consistent?"}],"resultDescription":"Returns two statistical reports: (1) an equal-width histogram showing bin edges and counts for the chosen field (received_rows or accepted_rows), and (2) a two-measure correlation report between received_rows and accepted_rows — all computed locally with no external data lookups.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows supplied — rejected per maxItems constraint","bins value exceeds 30 or is below 1 — rejected per schema bounds","Required fields (row_id, date) missing from one or more row objects — validation failure","Numeric values outside allowed range (±1 trillion) — rejected","Non-date-format string in date field — pattern validation failure"],"whenToPreferThis":"Choose this endpoint when you need both a distribution view (histogram) and a bivariate relationship measure (correlation) for data ingestion batch records in a single cheap call ($0.01). Ideal for pipelines where you want to audit received vs accepted row counts without setting up local analytics infrastructure. Best when your dataset is 200 rows or fewer and you want two complementary statistical reports bundled together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:36.986Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-equal-width-histogram-two-measure-correlation-4b250926"}