{"uid":"cap_UwWOJjxy5y1EKnWo4rF6q","slug":"bundle-sales-string-normalisation-and-keyed-dataset-comparison-489b1fe4","name":"Bundle Sales String Normalisation and Keyed Dataset Comparison","description":"Bundle sales — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied bundle sales records (bundles_sold, component_units). 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-15-036?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","bundles_sold","component_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"bundles_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"component_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","bundles_sold":10,"component_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","bundles_sold":20,"component_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","bundles_sold":15,"component_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","bundles_sold":30,"component_units":4}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","bundles_sold","component_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"bundles_sold":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"component_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","bundles_sold":10,"component_units":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","bundles_sold":21,"component_units":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","bundles_sold":17,"component_units":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","bundles_sold":33,"component_units":4}],"maxItems":200,"minItems":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_oQubHTCLXyLWP9u_cTNTS","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":"Performs string normalisation and keyed dataset comparison on two sets of bundle sales records (bundles_sold, component_units) for up to 200 rows each, returning 2 independent analytical reports.","exampleAgentPrompt":"I have two sets of bundle sales records — one from our warehouse system and one from POS — each with row_id, store_group, date, bundles_sold, and component_units. Can you run string normalisation and keyed dataset comparison on both to find where they differ? I'll give you up to 200 rows in each dataset.","exampleUseCases":[{"title":"Reconcile POS vs warehouse bundle exports","prompt":"We pulled bundle sales data from our POS system and our warehouse separately. Both have row_id, store_group, date, bundles_sold, and component_units. Can you compare them row-by-row to find any discrepancies in bundles_sold or component_units, and also normalise the store_group strings in case there are naming inconsistencies?"},{"title":"Audit end-of-month bundle sales figures","prompt":"I have our end-of-month bundle sales report and last month's actuals — both as keyed rows with store_group, date, bundles_sold, and component_units. Run a keyed comparison and string normalisation on both datasets so I can spot which rows changed or don't match up."},{"title":"Validate bundle data before merging into master","prompt":"Before I merge two bundle sales files into our master dataset, I need to normalise the store_group field and compare them by row_id to catch any duplicate or conflicting bundles_sold and component_units values. Each file has around 150 rows — can you run both reports?"}],"resultDescription":"Returns 2 independent reports: (1) a string normalisation report covering the store_group and related text fields across the submitted rows, and (2) a keyed dataset comparison report identifying matching, differing, and missing rows between the two supplied datasets based on row_id keys, with field-level discrepancies in bundles_sold and component_units highlighted.","failureModes":["Exceeding 200 rows in either array returns a validation error","Missing required fields (row_id, store_group, date, bundles_sold, component_units) causes row rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Submitting only one dataset without the other may produce an incomplete comparison report","Numeric values outside the allowed range cause validation errors"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and keyed row-level comparison on bundle sales data (bundles_sold, component_units) in a single low-cost call. It is purpose-built for retail bundle data reconciliation and returns two independent reports for up to 200 rows at $0.01 USDC. Prefer it over generic data tools when your data specifically contains bundle and component unit fields keyed by row_id and store_group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:31.666Z","isFirstParty":false,"canonicalSlug":"bundle-sales-string-normalisation-and-keyed-dataset-comparison-489b1fe4"}