{"uid":"cap__TXvepeF6w7NVJvwWANHU","slug":"promotion-observations-keyed-dataset-comparison-explicit-missing-74ac3a2b","name":"Promotion Observations — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Promotion observations — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill for supplied promotion observations records (discount_amount, units_sold). 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-retail-05-190?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","discount_amount","units_sold"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"units_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"store_group":{"type":"string","default":"","maxLength":80},"discount_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","units_sold":1,"store_group":"group-a","discount_amount":10},{"date":"2026-10-02","row_id":"row-2","units_sold":2,"store_group":"group-b","discount_amount":20},{"date":"2026-10-03","row_id":"row-3","units_sold":3,"store_group":"group-a","discount_amount":15},{"date":"2026-10-04","row_id":"row-4","units_sold":4,"store_group":"group-b","discount_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["discount_amount","units_sold"],"type":"string","default":"discount_amount"},"other":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","discount_amount","units_sold"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"units_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"store_group":{"type":"string","default":"","maxLength":80},"discount_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","units_sold":1,"store_group":"group-a","discount_amount":10},{"date":"2026-10-02","row_id":"row-2","units_sold":2,"store_group":"group-b","discount_amount":21},{"date":"2026-10-03","row_id":"row-3","units_sold":3,"store_group":"group-a","discount_amount":17},{"date":"2026-10-04","row_id":"row-4","units_sold":4,"store_group":"group-b","discount_amount":33}],"maxItems":200,"minItems":0},"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_jeLBa425b0ABcwhR3z1DW","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":"Compares two supplied datasets of promotion observations (discount_amount, units_sold) by row key and fills missing values, producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Compare these two sets of promotion observations row by row on the discount_amount field and fill any missing values — I've got two batches of up to 200 rows each, keyed by row_id with store_group and date, and I need both reports back.","exampleUseCases":[{"title":"Reconciling promotion discount data across periods","prompt":"I have two exports of our Q4 promotion records — each up to 200 rows with row_id, store_group, date, discount_amount, and units_sold — and I need you to compare them key-by-key on discount_amount and flag or fill any missing values so I can reconcile the differences."},{"title":"Filling missing units sold in promotional data","prompt":"Can you take my two promotion observation datasets and fill in any null units_sold values explicitly, then give me a comparison report showing what changed between the two sets? Both datasets have up to 150 rows keyed by row_id."},{"title":"Store group promotion performance comparison","prompt":"I want to compare promotion performance between group-a and group-b stores — I'll supply two datasets of discount_amount and units_sold rows, up to 200 rows each, and I need a keyed comparison report with missing values filled in for the units_sold field."}],"resultDescription":"Two analytical reports: one keyed comparison showing value-level differences between the two supplied datasets on the selected field (discount_amount or units_sold), and one explicit missing-value fill report resolving nulls in the same field — covering up to 200 rows, computed locally with no external lookups.","failureModes":["Missing required fields (row_id, store_group, date) causes validation error","Exceeding 200 rows returns a payload-too-large error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns a minItems validation error","Mismatched row keys between the two datasets may result in sparse comparison output"],"whenToPreferThis":"Choose this endpoint when you have two batches of promotion observation data (discount amounts and units sold) that you need to reconcile key-by-key and resolve missing values in, without any need for live external data, predictions, or professional assessments. It is ideal for retail analysts needing a structured diff between two promotion report snapshots with null imputation, up to 200 rows per batch at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:48.560Z","isFirstParty":false,"canonicalSlug":"promotion-observations-keyed-dataset-comparison-explicit-missing-74ac3a2b"}