{"uid":"cap_RIT27XNgvdVkgMF11163f","slug":"employment-observations-duplicate-key-report-adjacent-row-changes-f485306e","name":"Employment Observations — Duplicate Key Report + Adjacent Row Changes","description":"Employment observations — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes for supplied employment observations records (employed_count, labour_force_count). 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-economics-03-062?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","employed_count","labour_force_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"employed_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"labour_force_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","employed_count":10,"labour_force_count":1},{"date":"2026-10-02","region":"group-b","row_id":"row-2","employed_count":20,"labour_force_count":2},{"date":"2026-10-03","region":"group-a","row_id":"row-3","employed_count":15,"labour_force_count":3},{"date":"2026-10-04","region":"group-b","row_id":"row-4","employed_count":30,"labour_force_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["employed_count","labour_force_count"],"type":"string","default":"employed_count"}}},"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_Qpdtn-Mk5E-Q44PzOYIrJ","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 a supplied dataset of employment observations to produce a duplicate key report and an adjacent row changes report for employed_count or labour_force_count.","exampleAgentPrompt":"Can you check this batch of employment records for duplicate row keys and flag any adjacent row changes in the employed_count field? Here are up to 200 rows with row_id, region, date, employed_count, and labour_force_count.","exampleUseCases":[{"title":"Detect duplicates in regional payroll data","prompt":"I have a table of monthly employment observations by region with row IDs, dates, employed_count, and labour_force_count — can you run a duplicate key check on it and tell me which row IDs appear more than once?"},{"title":"Audit consecutive changes in labour force counts","prompt":"Can you look at these employment records and tell me where the labour_force_count changes between adjacent rows, sorted by date and region? I want to spot any sudden jumps or drops."},{"title":"Data quality check before econometric analysis","prompt":"Before I feed these employment observation rows into my model, can you run both a duplicate key report and an adjacent row changes report on the employed_count field so I can clean up any issues first?"}],"resultDescription":"Two independent analytical reports: (1) a duplicate key report identifying any row_ids or region+date combinations that appear more than once in the supplied dataset, and (2) an adjacent row changes report highlighting where the selected field (employed_count or labour_force_count) differs between consecutive rows. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns an error","Rows exceeding 200 items are rejected","Invalid date format (non-YYYY-MM-DD) causes validation failure","Unknown field enum value causes rejection","Malformed row objects missing required fields (row_id, region, date) are rejected"],"whenToPreferThis":"Choose this endpoint when you need simultaneous duplicate key detection and adjacent row change analysis on employment observation data (employed_count or labour_force_count) in a single low-cost call. It is purpose-built for economics and labour statistics datasets and bundles two quality reports for $0.01 USDC, making it efficient for pre-processing pipelines or data audits up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:48.435Z","isFirstParty":false,"canonicalSlug":"employment-observations-duplicate-key-report-adjacent-row-changes-f485306e"}