{"uid":"cap_kAz2i5PUhP7KhhHCY_PVu","slug":"duplicate-observations-analytics-daily-sum-series-adjacent-row-changes-6dd81c0e","name":"Duplicate Observations Analytics — Daily Sum Series + Adjacent Row Changes","description":"Duplicate observations — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-137?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"}}},"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_b7VI_7oNOnA_O7OME2u4a","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 supplied duplicate-observation records to produce a daily sum series and adjacent row change report, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 days of duplicate observation records for two dataset groups — can you run both the daily sum series and adjacent row changes reports on them? The rows are: 2026-10-01 group-a duplicate_rows=10 total_rows=1, 2026-10-02 group-b duplicate_rows=20 total_rows=2, 2026-10-03 group-a duplicate_rows=15 total_rows=3, 2026-10-04 group-b duplicate_rows=30 total_rows=4 — analyze the duplicate_rows field.","exampleUseCases":[{"title":"Daily duplicate trend audit","prompt":"I've got a week's worth of duplicate detection logs across two dataset groups. Can you compute the daily sum series and show me how the duplicate_rows count changes between consecutive days? Here are the records: 2026-11-01 group-a dup=5 total=100, 2026-11-02 group-a dup=12 total=105, 2026-11-03 group-a dup=8 total=102, 2026-11-04 group-a dup=20 total=110 — analyze duplicate_rows."},{"title":"Cross-group deduplication comparison","prompt":"We have duplicate observation data from two dataset groups over the past few days and I want both the daily sum series and adjacent row change reports. Rows: 2026-10-10 group-x dup=50 total=200, 2026-10-11 group-y dup=30 total=180, 2026-10-12 group-x dup=60 total=210, 2026-10-13 group-y dup=25 total=175. Use the total_rows field for the analysis."},{"title":"Spike detection in duplicate counts","prompt":"Can you run the daily sum series and adjacent row changes analysis on these duplicate observation records so I can spot any sudden spikes? Entries: 2026-09-01 group-prod dup=100 total=500, 2026-09-02 group-prod dup=102 total=510, 2026-09-03 group-prod dup=300 total=520, 2026-09-04 group-prod dup=105 total=505. Analyze duplicate_rows."}],"resultDescription":"Two analytical reports computed locally from the supplied data: (1) a daily sum series aggregating the chosen field (duplicate_rows or total_rows) by date, and (2) an adjacent row changes report showing the difference between consecutive rows — both covering up to 200 input rows.","failureModes":["Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) returns a validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit and fails","Null numeric values may affect aggregation results if not handled upstream","Empty rows array (minItems: 1 not satisfied) causes schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation data (duplicate_rows, total_rows) keyed by date and group and want two complementary analytical views — a daily sum series and adjacent row changes — computed offline without any live data lookup or external prediction. It is especially suitable for data quality audits, deduplication monitoring, and time-series trend analysis on small to medium batches (up to 200 rows) at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:34.214Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-daily-sum-series-adjacent-row-changes-6dd81c0e"}