{"uid":"cap_7qDXNn99c8cjesm9bo6as","slug":"schema-conformity-numeric-row-ordering-and-base-100-series-a0767db7","name":"Schema Conformity Numeric Row Ordering and Base-100 Series","description":"Schema conformity — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied schema conformity records (valid_records, checked_records). 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-02-117?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_ubTetGMHsHpog9PX5wP4t","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 numeric row ordering and Base-100 index series for schema conformity records (valid_records, checked_records) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"I have schema conformity data for our datasets — can you rank the rows numerically and build a Base-100 series for valid_records, starting from base index 0? I have 4 rows: row-1 group-a 2026-10-01 valid=10 checked=1, row-2 group-b 2026-10-02 valid=20 checked=2, row-3 group-a 2026-10-03 valid=15 checked=3, row-4 group-b 2026-10-04 valid=30 checked=4.","exampleUseCases":[{"title":"Monthly data quality trend indexing","prompt":"I want to track how our valid_records conformity has changed over the last 6 months — can you take these 24 rows of schema conformity data and produce a Base-100 series starting from base index 0, so I can see the trend relative to our first month?"},{"title":"Dataset group conformity ranking","prompt":"We have two dataset groups — group-a and group-b — and I need to rank all 50 rows of schema conformity records numerically by checked_records and also get the Base-100 series starting at index 0, so I can compare performance across both groups."},{"title":"Audit report for data pipeline conformity","prompt":"Can you generate the numeric row ordering and Base-100 index reports for these schema conformity records from our data pipeline audit? I'll supply 80 rows with valid_records as the field, base index starting at 0 — I need both reports in one call."}],"resultDescription":"Returns two analytical reports: (1) numeric row ordering of the supplied conformity records ranked by the selected field, and (2) a Base-100 index series rebased from the specified base_index row — both computed locally without external lookups, covering up to 200 rows.","failureModes":["Missing required row fields (row_id, date, valid_records, checked_records) cause validation errors","More than 200 rows submitted exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index value outside 0–199 range is rejected","null values in numeric fields may affect ordering and indexing calculations","Invalid field enum value (not valid_records or checked_records) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ranking and a Base-100 index series for schema conformity data (valid_records / checked_records) in a single low-cost call. Ideal for data quality monitoring pipelines, audit workflows, or analytics dashboards that need ordinal rankings and relative index series for up to 200 conformity records without requiring any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:09.979Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-row-ordering-and-base-100-series-a0767db7"}