{"uid":"cap_I4EMmHwO5aDYCouZ_doUw","slug":"structured-data-observations-numeric-row-ordering-two-measure-3b456a2d","name":"Structured Data Observations — Numeric Row Ordering + Two-Measure Correlation","description":"Structured data observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied structured data observations records (valid_items, total_items). 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-web-08-120?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","valid_items","total_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"total_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"valid_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","total_items":1,"valid_items":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","total_items":2,"valid_items":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","total_items":3,"valid_items":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","total_items":4,"valid_items":30}],"maxItems":200,"minItems":1},"field":{"enum":["valid_items","total_items"],"type":"string","default":"valid_items"}}},"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_7NdNwi1jBD76Mhekj5Sfn","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 up to 200 rows of structured observation records by applying numeric row ordering and computing two-measure correlation between valid_items and total_items fields.","exampleAgentPrompt":"Analyze these 4 observation records — row-1 group-a 2026-10-01 valid_items=10 total_items=1, row-2 group-b 2026-10-02 valid_items=20 total_items=2, row-3 group-a 2026-10-03 valid_items=15 total_items=3, row-4 group-b 2026-10-04 valid_items=30 total_items=4 — and give me both the numeric row ordering and the two-measure correlation between valid_items and total_items.","exampleUseCases":[{"title":"Quality audit correlation check","prompt":"I have 50 rows of daily inspection data with valid_items and total_items counts per site group — can you order the rows numerically and tell me how correlated those two measures are with each other?"},{"title":"Website inventory validity analysis","prompt":"Here are 120 rows of website inventory observations across group-a and group-b from October, each with a valid_items and total_items count — run the numeric row ordering and two-measure correlation reports on them using valid_items as the primary field."},{"title":"Learning resource usage ranking","prompt":"I've got 80 rows of learning resource usage records with valid_items and total_items per date and site group — can you rank them numerically by those values and compute how strongly valid_items and total_items correlate across all records?"}],"resultDescription":"Returns two independent analytical reports computed locally from the supplied rows: (1) a numeric row ordering report that ranks/sorts the rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between valid_items and total_items. No external data is fetched; all computation uses shared local analytical engines.","failureModes":["More than 200 rows submitted — endpoint rejects with a validation error","Missing required row fields (row_id, date, valid_items, total_items) causes schema validation failure","Date field not in YYYY-MM-DD format causes pattern validation error","Null values in both numeric fields may produce undefined correlation result","Invalid field enum value (not 'valid_items' or 'total_items') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of structured observation data with two numeric measures (valid_items, total_items) and need both a numeric row ordering and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on pre-collected datasets where no live lookup, external prediction, or human professional assessment is required. Prefer alternatives if you need more than 200 rows, more than two measures, time-series forecasting, or real-time data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:21.893Z","isFirstParty":false,"canonicalSlug":"structured-data-observations-numeric-row-ordering-two-measure-3b456a2d"}