{"uid":"cap_OGF9iYsA3VHwpluTVhR_v","slug":"promotion-observations-quality-audit-deduplication-equal-width-0d6e7823","name":"Promotion Observations — Quality Audit + Deduplication + Equal-Width Histogram","description":"Promotion observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied promotion observations records (discount_amount, units_sold). 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-05-219?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_a_ZTu-cVupM684uKFOjDN","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 promotion observation data (discount_amount, units_sold): a record quality audit, exact row deduplication, and an equal-width histogram.","exampleAgentPrompt":"Run a quality audit, exact row deduplication check, and a 5-bin equal-width histogram on the discount_amount field for my promotion observation records — here are up to 200 rows with row_id, store_group, date, discount_amount, and units_sold.","exampleUseCases":[{"title":"Pre-analysis promotion data quality check","prompt":"Before I run my promo analysis, audit the quality of these 150 promotion observation rows and flag any issues with the discount_amount and units_sold fields, deduplicate any exact duplicates, and give me a 5-bin histogram of discount_amount."},{"title":"Detecting duplicates in retail promotion data","prompt":"I think some of our promotion records got loaded twice — can you run an exact row deduplication check on these 80 promotion rows and also give me a quality audit so I know what shape the data is in?"},{"title":"Distribution summary of units sold","prompt":"Give me an equal-width histogram with 10 bins for the units_sold field across my promotion dataset — also run the quality audit and deduplication report while you're at it. Here are the 120 rows."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in discount_amount and units_sold; (2) an exact row deduplication report identifying identical rows; and (3) an equal-width histogram of the selected numeric field (discount_amount or units_sold) with up to 30 configurable bins showing frequency distribution across equal-width intervals.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Missing required fields (row_id, store_group, date, discount_amount, units_sold) causes row rejection","bins value outside 1–30 range returns validation error","Empty rows array returns error","Payment failure results in 402 response with no data processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 retail promotion observation records and need three foundational data profiling operations in a single cheap call: quality auditing, deduplication, and numeric distribution analysis. It is ideal for pre-processing or QA steps before deeper modeling or reporting, and is cost-effective at $0.01 USDC for all three reports. Prefer it over building custom local scripts when operating inside an agent pipeline that needs structured, standardized profiling output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:54.460Z","isFirstParty":false,"canonicalSlug":"promotion-observations-quality-audit-deduplication-equal-width-0d6e7823"}