{"uid":"cap_xvyYS_ZKmmUQVHrdUkfQ5","slug":"third-party-reviews-secondary-measure-weighted-mean-explicit-missing-5589f689","name":"Third Party Reviews — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Third party reviews — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied third party reviews records (vendors_reviewed, outstanding_actions). 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-security-24-187?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","vendors_reviewed","outstanding_actions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"control_group":{"type":"string","default":"","maxLength":80},"vendors_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"outstanding_actions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","vendors_reviewed":10,"outstanding_actions":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","vendors_reviewed":20,"outstanding_actions":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","vendors_reviewed":15,"outstanding_actions":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","vendors_reviewed":30,"outstanding_actions":4}],"maxItems":200,"minItems":1},"field":{"enum":["vendors_reviewed","outstanding_actions"],"type":"string","default":"vendors_reviewed"},"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_QWc8yRaTG2ZwDCe6e3UOT","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 secondary-measure weighted mean and fills missing values in third-party review datasets (vendors_reviewed, outstanding_actions) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"I have up to 200 rows of third-party vendor review records with vendors_reviewed and outstanding_actions columns — can you compute a secondary-measure weighted mean on the vendors_reviewed field and fill any missing values using median imputation?","exampleUseCases":[{"title":"Vendor review gap analysis","prompt":"I have a dataset of 150 third-party review records with some null values in the outstanding_actions column — please fill those missing values using the mean method and compute a weighted mean across control groups so I can see which groups have the most outstanding actions."},{"title":"Procurement audit aggregation","prompt":"I need to analyze my vendor review data across two control groups over the past quarter — can you run a weighted mean on the vendors_reviewed field and use zero fill for any missing entries? I have about 80 rows of records."},{"title":"Monthly review metrics report","prompt":"I'm preparing a monthly supplier performance report and need a weighted average of vendors_reviewed plus missing-value fill using median for any gaps in our 120-row review dataset, split by control group and date."}],"resultDescription":"Returns 2 analytical reports containing: secondary-measure weighted mean computations for the selected field (vendors_reviewed or outstanding_actions) across control groups, and an explicit missing-value-filled version of the dataset using the chosen method (zero, mean, or median). Results are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with row limit error","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, control_group, date) — validation failure","Field enum value not in ['vendors_reviewed','outstanding_actions'] — rejected","Method enum not in ['zero','mean','median'] — rejected","Empty rows array — minimum 1 item validation error"],"whenToPreferThis":"Choose this endpoint when you have structured third-party review records with vendors_reviewed and/or outstanding_actions metrics, need both a weighted mean aggregation and explicit missing-value imputation in a single low-cost call ($0.01 USDC), and want offline/local computation without any live data lookup or external API dependency. Ideal for batches up to 200 rows where you need two reports at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:46.442Z","isFirstParty":false,"canonicalSlug":"third-party-reviews-secondary-measure-weighted-mean-explicit-missing-5589f689"}