{"uid":"cap_Y8-6rgligkjmRTw-3ERgX","slug":"metadata-completeness-numeric-distribution-secondary-measure-weighted-b3256c45","name":"Metadata Completeness — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Metadata completeness — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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-05-082?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_ZqNKB7xnjMR3z007-LoRC","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 a numeric distribution report and a secondary-measure weighted mean report for supplied metadata completeness records (present_fields, expected_fields) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and secondary-measure weighted mean analysis on my metadata completeness data? I have 4 rows: row-1 for group-a on 2026-10-01 with present_fields=10 and expected_fields=1, row-2 for group-b on 2026-10-02 with 20 and 2, row-3 for group-a on 2026-10-03 with 15 and 3, and row-4 for group-b on 2026-10-04 with 30 and 4 — analyze present_fields.","exampleUseCases":[{"title":"Site group completeness audit","prompt":"I have 50 metadata records across two site groups from last month — can you compute the numeric distribution and weighted mean of present_fields for each row? Here's the data with row IDs, site groups, dates, present_fields, and expected_fields values."},{"title":"Daily metadata fill-rate spread","prompt":"Run a numeric distribution and secondary-measure weighted mean on these 100 metadata completeness records for expected_fields — I want to see the spread and weighted average across all the rows we collected in October 2026."},{"title":"Pre-pipeline data quality check","prompt":"Before I kick off my ETL pipeline, can you give me two statistical reports — a numeric distribution plus a weighted mean — on these metadata completeness rows I've uploaded? Use present_fields as the target field and check all 200 records."}],"resultDescription":"Returns two independent analytical reports computed locally: (1) a numeric distribution of the selected field (present_fields or expected_fields) across the submitted rows, and (2) a secondary-measure weighted mean that incorporates both present_fields and expected_fields. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit","Missing required fields (row_id, site_group, date, present_fields, expected_fields) causes schema validation failure","Invalid date format (not YYYY-MM-DD) triggers pattern validation error","Null values in present_fields or expected_fields may affect weighted mean computation","Invalid field selector (not 'present_fields' or 'expected_fields') returns an enum validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular metadata completeness records (present_fields + expected_fields per row) and need both a numeric distribution and a weighted mean in a single call without any external data lookups or live predictions. Ideal for offline/batch quality audits on datasets up to 200 rows where cost efficiency ($0.01 for two reports) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:56.044Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-numeric-distribution-secondary-measure-weighted-b3256c45"}