{"uid":"cap_6ztAUoEaP1XDmxwd58ANN","slug":"record-routing-analytics-category-frequencies-missing-value-fill-4c5bb6c0","name":"Record Routing Analytics: Category Frequencies + Missing-Value Fill","description":"Record routing — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_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-19-112?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_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},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_hktoh0hdfl3ti8xLClITG","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 category frequencies and fills missing values (zero/mean/median) for accepted_records and rejected_records fields across up to 200 record routing rows, returning two analytical reports.","exampleAgentPrompt":"Can you analyze my record routing data — I have about 50 rows with dataset_group, date, accepted_records, and rejected_records — and give me category frequencies for each group plus fill any missing accepted_records values using the median?","exampleUseCases":[{"title":"Audit record routing pipeline quality","prompt":"I have 120 rows of record routing logs with accepted_records and rejected_records per dataset group. Can you compute the category frequencies across all groups and fill any missing accepted_records values with the median so I can see where nulls are hiding?"},{"title":"Zero-fill rejected records for reporting","prompt":"My weekly record routing export has some null values in the rejected_records column — can you fill those with zero and also give me a frequency breakdown of how many rows belong to each dataset_group?"},{"title":"Detect imbalanced routing groups","prompt":"I want to understand if certain dataset groups dominate my record routing data. Can you run a category frequency report on my 80 routing rows and also use mean imputation to fill any gaps in the accepted_records field?"}],"resultDescription":"Returns two analytical reports: (1) category frequency counts for the dataset_group column across all supplied rows, and (2) the specified numeric field (accepted_records or rejected_records) with missing values filled using the chosen method (zero, mean, or median). No external lookups or predictions are made — all analysis runs locally on the supplied data.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value out of allowed numeric range (±1 trillion) — rejected","Invalid method enum value — schema error","Invalid field enum value — schema error","All values in target field are null — mean/median may return zero or undefined"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis on record routing data — specifically category frequency distributions and missing-value imputation — without any external API calls, ML predictions, or live data lookups. Ideal for data quality checks on small-to-medium batches (up to 200 rows) at very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:01.431Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-category-frequencies-missing-value-fill-4c5bb6c0"}