{"uid":"cap_CYrt4mZMa2kh7jGckIfkl","slug":"manufacturing-output-adjacent-row-changes-687c32e9","name":"Manufacturing Output Adjacent Row Changes","description":"Manufacturing output - Adjacent row changes: Adjacent row changes for Manufacturing output. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded adjacent row changes deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-manufacturing-output-period-change?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","line","date","units","defects"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"line":{"type":"string","default":"","maxLength":80},"units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"defects":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","line":"group-a","units":10,"row_id":"row-1","defects":1},{"date":"2026-10-02","line":"group-b","units":20,"row_id":"row-2","defects":2},{"date":"2026-10-03","line":"group-a","units":15,"row_id":"row-3","defects":3},{"date":"2026-10-04","line":"group-b","units":30,"row_id":"row-4","defects":4}],"maxItems":200,"minItems":1},"field":{"enum":["units","defects"],"type":"string","default":"units"}}},"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_UzFn2PsIaaWeFD5Ez2LZv","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 period-over-period (adjacent row) changes for manufacturing output metrics (units or defects) across production lines and dates.","exampleAgentPrompt":"Calculate the adjacent row changes in units produced for these manufacturing records — I have 4 rows: row-1 on 2026-10-01 for line group-a with 10 units and 1 defect, row-2 on 2026-10-02 for line group-b with 20 units and 2 defects, row-3 on 2026-10-03 for line group-a with 15 units and 3 defects, and row-4 on 2026-10-04 for line group-b with 30 units and 4 defects.","exampleUseCases":[{"title":"Daily production output trend analysis","prompt":"I have daily manufacturing records for two production lines over the past week — can you calculate how units produced changed between each consecutive day for line group-a and group-b? Here are the rows with their dates, units, and defect counts."},{"title":"Defect rate shift detection","prompt":"Run an adjacent row change calculation on defects for my manufacturing dataset — I want to see how defect counts shifted between each consecutive record so I can spot sudden spikes in quality issues. I have about 50 rows with row IDs, line names, dates, units, and defect fields."},{"title":"Production line comparison over periods","prompt":"I need to see the period-over-period change in units across my manufacturing output records for the last quarter — can you compute the adjacent row differences for these 120 rows covering line group-a through group-d with daily dates and unit counts?"}],"resultDescription":"Returns a bounded set of adjacent row change values for the selected field (units or defects) — numeric deltas between each consecutive row in the submitted dataset, keyed by row_id, enabling period-over-period manufacturing output analysis. No external enrichment or forecasting is included.","failureModes":["Empty or missing rows array returns validation error","Rows exceeding 200 items are rejected (maxItems constraint)","Invalid date format (not YYYY-MM-DD) causes schema rejection","Unknown field value outside [units, defects] enum returns error","Null numeric values in units or defects may produce null deltas in output","row_id missing or empty string triggers required field validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local period-over-period delta computation on manufacturing output rows (units or defects) without external API dependencies or forecasting overhead. Ideal for production-line monitoring pipelines that already have structured row data and need sequential change detection cheaply at $0.01 per call. Not suitable for forecasting, anomaly detection, or enrichment — use sector-specific forecasting endpoints for those needs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T19:02:46.023Z","isFirstParty":false,"canonicalSlug":"manufacturing-output-adjacent-row-changes-687c32e9"}