{"uid":"cap_Qu6a2tl68jaUWbbI1myw9","slug":"schema-conformity-adjacent-row-changes-equal-width-histogram-f57a4bdc","name":"Schema Conformity — Adjacent Row Changes + Equal-Width Histogram","description":"Schema conformity — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram for supplied schema conformity records (valid_records, checked_records). 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-02-156?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","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"}}},"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_CxFQYP8rZ64tF18lk6OLy","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":"Analyzes schema conformity data (valid_records, checked_records) by computing adjacent row changes and an equal-width histogram, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run both an adjacent row changes analysis and an equal-width histogram (5 bins) on my schema conformity data for the valid_records field? I have up to 150 rows with row_id, dataset_group, date, valid_records, and checked_records.","exampleUseCases":[{"title":"Monitoring schema conformity drift over time","prompt":"I have 120 rows of daily schema conformity logs with valid_records and checked_records — can you compute the adjacent row changes on valid_records and also show me an equal-width histogram with 10 bins so I can see how conformity has shifted?"},{"title":"Detecting anomalies in data validation pipeline","prompt":"Run an adjacent row changes report plus a 5-bin equal-width histogram on my checked_records field across these 80 schema conformity rows — I want to spot any sudden spikes or drops in records being checked."},{"title":"Comparing conformity across dataset groups","prompt":"I've got schema conformity records for two dataset groups over the last 6 months, up to 200 rows. Can you analyze the valid_records field with adjacent row changes and an equal-width histogram using 8 bins?"}],"resultDescription":"Two analytical reports: (1) an adjacent row changes report showing the delta between consecutive rows for the selected field (valid_records or checked_records), and (2) an equal-width histogram breaking the field's value distribution into the specified number of bins with counts per bin. Both reports are computed locally with no external lookups.","failureModes":["Row count exceeds 200 — request rejected","Missing required fields (row_id, date, valid_records, checked_records) — validation error","Invalid date format (must be YYYY-MM-DD) — validation error","bins value out of range (must be 1–30) — validation error","All values null for selected field — histogram may be empty or degenerate","Payment of 0.01 USDC not completed — request not processed"],"whenToPreferThis":"Choose this endpoint when you need a combined adjacent-row-change analysis AND equal-width histogram on schema conformity data (valid_records or checked_records) in a single call. It is ideal for data quality monitoring pipelines where you want both temporal change detection and distribution analysis without calling separate services. Best for datasets of up to 200 rows where no live lookup or external prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:16.274Z","isFirstParty":false,"canonicalSlug":"schema-conformity-adjacent-row-changes-equal-width-histogram-f57a4bdc"}