{"uid":"cap_62lAVRcsqJgklNfGOkIo4","slug":"metadata-completeness-base-100-series-secondary-measure-weighted-mean-e316af4b","name":"Metadata Completeness — Base-100 Series + Secondary-Measure Weighted Mean","description":"Metadata completeness — Base-100 series + Secondary-measure weighted mean: Base-100 series + 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-05-166?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"},"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_jjRvxHhDuLTR1jGRicDHr","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 base-100 indexed time series and a secondary-measure weighted mean for metadata completeness records (present_fields vs expected_fields) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"I have 4 rows of metadata completeness data — can you compute a base-100 indexed series anchored to row index 0 and a weighted mean for the present_fields column? The rows are: row-1 for group-a on 2026-10-01 with 10 present and 1 expected, row-2 for group-b on 2026-10-02 with 20 present and 2 expected, row-3 for group-a on 2026-10-03 with 15 present and 3 expected, row-4 for group-b on 2026-10-04 with 30 present and 4 expected.","exampleUseCases":[{"title":"Data pipeline quality trending","prompt":"I'm tracking metadata completeness for my ETL pipeline across two site groups over the past week — can you index the present_fields counts to a base-100 series starting at the first row and also give me a weighted mean? I have 5 rows: prod-1 for pipeline-a on 2026-11-01 with 80 present and 100 expected, prod-2 for pipeline-b on 2026-11-02 with 60 present and 100 expected, prod-3 for pipeline-a on 2026-11-03 with 90 present and 100 expected, prod-4 for pipeline-b on 2026-11-04 with 75 present and 100 expected, prod-5 for pipeline-a on 2026-11-05 with 85 present and 100 expected."},{"title":"Schema coverage comparison across teams","prompt":"My two engineering teams fill out metadata schemas differently — can you run the base-100 series and weighted mean analysis on expected_fields for these 6 rows so I can compare coverage trends? team-alpha on 2026-09-01 expected 50, team-beta on 2026-09-02 expected 40, team-alpha on 2026-09-03 expected 55, team-beta on 2026-09-04 expected 45, team-alpha on 2026-09-05 expected 60, team-beta on 2026-09-06 expected 50. Use base index 0."},{"title":"Monthly metadata audit report","prompt":"I need two reports on my monthly metadata audit — a base-100 indexed time series and a secondary weighted mean — for present_fields across these 8 records: audit-1 through audit-8 all in group-main, dates from 2026-01-01 to 2026-08-01 monthly, with present_fields values of 120, 135, 110, 150, 140, 160, 145, 170 and expected_fields all set to 200. Anchor the base index at row 0."}],"resultDescription":"Returns two analytical reports: (1) a base-100 indexed time series normalizing the selected field (present_fields or expected_fields) relative to the value at the specified base_index row, and (2) a secondary-measure weighted mean computed across all supplied rows. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, present_fields, expected_fields) — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","base_index out of range (exceeds row count minus 1) — index error","null values in present_fields or expected_fields may affect weighted mean calculation","Division by zero risk if expected_fields is 0 for completeness ratio computation"],"whenToPreferThis":"Choose this endpoint when you need to both index a metadata completeness time series to a base-100 scale AND compute a weighted mean in a single call for up to 200 rows. It is ideal for data quality monitoring, schema coverage audits, and ETL pipeline analytics where you need two complementary statistical views (trend indexing + central tendency) from the same dataset without external dependencies or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:31.000Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-base-100-series-secondary-measure-weighted-mean-e316af4b"}