{"uid":"cap_dJQUoyJiOaM1KkJghhZTH","slug":"metadata-completeness-category-frequencies-date-by-category-pivot-8ff80e60","name":"Metadata Completeness — Category Frequencies + Date by Category Pivot","description":"Metadata completeness — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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-05-110?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_JzlEL59rmJ4UGq1NviuO9","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 metadata completeness records to produce two reports: category-level frequency counts and a date-by-category pivot table, for up to 200 rows of present_fields/expected_fields data.","exampleAgentPrompt":"Analyze these metadata completeness records for me — I have rows with site_group, date, present_fields, and expected_fields. Give me both a category frequency breakdown and a date-by-category pivot on the present_fields column for up to 200 rows.","exampleUseCases":[{"title":"Audit metadata coverage by site group","prompt":"I have metadata completeness records for our content sites — each row has a site_group, a date, how many fields are present, and how many are expected. Can you run a category frequency report and a date-by-category pivot on present_fields so I can see which groups are consistently complete?"},{"title":"Track completeness trends over time","prompt":"Here are 150 rows of metadata completeness data across several site groups from the last quarter. Run me two reports: category frequencies and a date-by-category pivot on expected_fields so I can spot which groups have trending gaps."},{"title":"Compare field coverage across data groups","prompt":"I want to understand how present_fields vary across my data groups. Can you take these records — each with row_id, site_group, date, present_fields, and expected_fields — and produce a frequency breakdown by category plus a date-pivot table?"}],"resultDescription":"Returns two analytical reports: (1) a category frequency table showing how often each site_group appears in the dataset, and (2) a date-by-category pivot table showing the selected field metric (present_fields or expected_fields) broken down by date and site_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, site_group, date, present_fields, expected_fields) cause validation errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Null values in present_fields or expected_fields may affect aggregation results","Empty rows array rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — category frequency counts and a date-by-category pivot — on metadata completeness data (present_fields, expected_fields) for up to 200 rows, at a flat cost of $0.01 USDC. It is ideal for lightweight, serverless data quality auditing without needing a full analytics platform. Prefer it over general analytics APIs when your data is already structured with site_group and date dimensions and you want both a frequency and a pivot report in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:40.991Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-category-frequencies-date-by-category-pivot-8ff80e60"}