{"uid":"cap_aNaKC4SLEnko219auHv_g","slug":"data-ingestion-batches-record-quality-audit-equal-width-histogram-2bb4c073","name":"Data Ingestion Batches — Record Quality Audit + Equal-Width Histogram","description":"Data ingestion batches — Record quality audit + Equal-width histogram: Record quality audit + Equal-width histogram 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-01-013?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_iA7TNk7b0XGv342KMLqdV","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":"Runs a record quality audit and an equal-width histogram analysis on up to 200 data ingestion batch records covering received_rows and accepted_rows fields.","exampleAgentPrompt":"Run a record quality audit and equal-width histogram on my ingestion batch data — here are 50 rows with row_id, dataset_group, date, received_rows, and accepted_rows fields — use 10 bins and analyze the accepted_rows field.","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have 80 ingestion batch records from last month with received_rows and accepted_rows — can you run a quality audit and a 5-bin histogram on the accepted_rows to see how well data is passing through our pipeline?"},{"title":"Dataset group ingestion quality check","prompt":"Here are 120 rows of ingestion data across two dataset groups, each with a date, received_rows, and accepted_rows. Run the record quality audit and a 10-bin equal-width histogram on received_rows so I can spot any patterns or quality issues."},{"title":"Detect data loss in nightly ingestion jobs","prompt":"We had some suspected data loss in our nightly ingestion jobs last week — I've got 60 batch records with received and accepted row counts. Can you do a quality audit and histogram with 8 bins on received_rows to help me find where the losses are happening?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit summarizing completeness, nulls, and anomalies across the supplied ingestion batch rows; and (2) an equal-width histogram of the chosen field (received_rows or accepted_rows) divided into the specified number of bins, showing frequency distribution across up to 200 rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Bins value outside 1–30 range — schema validation failure","Invalid date format (not YYYY-MM-DD) — validation error","Numeric values outside ±1,000,000,000,000 bounds — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a histogram distribution analysis on ingestion batch records in a single call for up to 200 rows, without requiring a live database connection or external data source. Ideal for agents monitoring ETL pipelines, validating ingestion completeness, or summarizing row acceptance rates across dataset groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:33.857Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-record-quality-audit-equal-width-histogram-2bb4c073"}