{"uid":"cap_QXFZMLfQgO26M5lKRo3ws","slug":"manufacturing-output-two-measure-correlation-67d83da3","name":"Manufacturing Output Two-Measure Correlation","description":"Manufacturing output - Two-measure correlation: Two-measure correlation 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 two-measure correlation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-manufacturing-output-correlation?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}}},"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_FW0cipH3LF3awNKrPdapi","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 the statistical correlation between units produced and defects across up to 200 manufacturing output records, locally, with no external enrichment.","exampleAgentPrompt":"Can you run a two-measure correlation between units produced and defects for our manufacturing lines? Here's our data: line A on 2026-10-01 made 10 units with 1 defect (row-1), line B on 2026-10-02 made 20 units with 2 defects (row-2), and line A on 2026-10-03 made 15 units with 3 defects (row-3).","exampleUseCases":[{"title":"Defect-to-output correlation audit","prompt":"I have 50 daily records from our production floor — each has a date, line name, units made, and defect count. Can you compute the correlation between units produced and defects so I can see if higher output is driving more quality issues?"},{"title":"Multi-line quality comparison","prompt":"We run two assembly lines, group-a and group-b. I want to know how strongly defect counts correlate with unit volumes across both lines over the last quarter — here are the 90 records, one per day."},{"title":"Pre-report statistical validation","prompt":"Before I submit the quarterly manufacturing report, can you run a correlation between our units and defects columns for the 120 rows I'll paste in? I need the correlation coefficient to include in the summary."}],"resultDescription":"Returns a bounded two-measure correlation deliverable quantifying the statistical relationship (e.g., Pearson correlation coefficient) between the units and defects fields across the submitted manufacturing records, along with any data-quality processing notes. No external data is fetched; computation is performed locally on the supplied rows.","failureModes":["Empty or missing rows array returns a validation error","Rows with null values in both units and defects may be excluded or flagged as data-quality issues","Date strings not matching YYYY-MM-DD pattern will fail schema validation","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Payment not included or insufficient USDC triggers an x402 payment-required response"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) statistical correlation between two manufacturing numeric measures (units and defects) on up to 200 records, with no need for external enrichment, forecasting, or third-party data. It is ideal for local, privacy-friendly computation directly on your own structured manufacturing records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:16:39.670Z","isFirstParty":false,"canonicalSlug":"manufacturing-output-two-measure-correlation-67d83da3"}