{"uid":"cap_g36XHCX86xnm9Fp8-ao39","slug":"metadata-completeness-analyzer-adjacent-row-changes-secondary-measure-a5536d8e","name":"Metadata Completeness Analyzer — Adjacent Row Changes & Secondary-Measure Weighted Mean","description":"Metadata completeness — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied metadata completeness records (present_fields, expected_fields). 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-05-159?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","present_fields","expected_fields"],"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},"present_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"expected_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","present_fields":10,"expected_fields":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","present_fields":20,"expected_fields":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","present_fields":15,"expected_fields":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","present_fields":30,"expected_fields":4}],"maxItems":200,"minItems":1},"field":{"enum":["present_fields","expected_fields"],"type":"string","default":"present_fields"}}},"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_kGLbKP3A2297WYCc4OoGL","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 adjacent row changes and secondary-measure weighted mean for metadata completeness records (present_fields, expected_fields) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run adjacent row change and weighted mean reports on this metadata completeness dataset? I have 4 rows — row-1 (group-a, 2026-10-01, present_fields=10, expected_fields=1), row-2 (group-b, 2026-10-02, present=20, expected=2), row-3 (group-a, 2026-10-03, present=15, expected=3), row-4 (group-b, 2026-10-04, present=30, expected=4) — and I want to analyze the present_fields column.","exampleUseCases":[{"title":"Daily metadata drift monitoring","prompt":"I have 30 days of metadata completeness records for my data pipeline — each row has a date, site group, and the number of present vs expected fields. Can you run adjacent row changes and a weighted mean analysis on present_fields so I can see where coverage is drifting?"},{"title":"Site group completeness comparison","prompt":"I want to compare metadata completeness across my two site groups over the past week. Here are 14 rows with row_id, site_group, date, present_fields, and expected_fields — please give me the adjacent row changes and secondary-measure weighted mean for expected_fields."},{"title":"Data quality audit for ingestion pipeline","prompt":"We're doing a data quality audit and need to spot sudden drops in field coverage. Can you analyze these 50 metadata completeness records — with present_fields and expected_fields per row — using adjacent row changes and weighted mean, analyzing the present_fields column?"}],"resultDescription":"Two analytical reports: (1) adjacent row changes showing how present_fields or expected_fields shift between consecutive rows, and (2) a secondary-measure weighted mean computed from the completeness records. Both reports are computed locally with no external lookups, covering up to 200 supplied rows.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems","Missing required fields (row_id, site_group, date, present_fields, expected_fields) — validation error","Invalid date format (must match YYYY-MM-DD) — schema rejection","row_id empty or exceeds 80 characters — validation error","field enum value not 'present_fields' or 'expected_fields' — rejected","Payment not included or insufficient (requires 0.01 USDC via x402) — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need dual analytical reports — adjacent row change detection and weighted mean — on metadata completeness records (present_fields, expected_fields) without requiring external data lookups or live predictions. Ideal for data quality pipelines, completeness audits, and trend analysis on structured row-level completeness data. Best when you have up to 200 rows and want two complementary statistical views in a single call at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:19.454Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-analyzer-adjacent-row-changes-secondary-measure-a5536d8e"}