{"uid":"cap_2ORSH7UgrRzQlXsNMQdy1","slug":"bundle-sales-record-quality-audit-string-normalisation-grouped-8b606794","name":"Bundle Sales — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Bundle sales — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied bundle sales records (bundles_sold, component_units). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-retail-15-194?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},"field":{"enum":["bundles_sold","component_units"],"type":"string","default":"bundles_sold"}}},"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_sVS-UL6JO7LqwHGBF0-XN","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":"Runs three local analytical reports on bundle sales data: a record quality audit, string normalisation, and a grouped numeric summary — no external lookups or predictions.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and grouped numeric summary on my bundle sales records? I have up to 50 rows with fields like row_id, store_group, date, bundles_sold, and component_units — I want the analysis on the bundles_sold field.","exampleUseCases":[{"title":"Retail bundle data quality check","prompt":"I've got a table of 80 bundle sales rows with store_group, date, bundles_sold, and component_units. Can you audit the record quality, normalise the store group strings, and give me a grouped summary of bundles_sold across those groups?"},{"title":"Component units grouped analysis","prompt":"Run a quality audit, string normalisation, and grouped numeric summary on my 120-row bundle sales dataset — I want the numeric reports focused on the component_units field, not bundles_sold."},{"title":"Pre-reporting data clean and summarise","prompt":"Before I hand off this bundle sales data to my manager, can you check it for quality issues, normalise any inconsistent store group names, and produce a grouped numeric summary? It's about 30 rows covering October 2026."}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values per row; (2) a string normalisation report cleaning the store_group field; and (3) a grouped numeric summary aggregating the selected numeric field (bundles_sold or component_units) by store_group. All computed locally from supplied data, with no external data fetched.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, store_group, date, bundles_sold, component_units) — validation error","Date field not matching YYYY-MM-DD pattern — schema error","Empty rows array — minimum 1 item required","Invalid field selector (not 'bundles_sold' or 'component_units') — enum validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of bundle sales data and need all three of: a quality/completeness audit, string normalisation on categorical fields, and a grouped numeric summary — bundled into one $0.01 call. Prefer this over separate single-report endpoints when you need the combined output and want to minimise cost and round-trips. Not suitable when you need live data, predictions, external enrichment, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:47.687Z","isFirstParty":false,"canonicalSlug":"bundle-sales-record-quality-audit-string-normalisation-grouped-8b606794"}