{"uid":"cap_E2Xa_7KQ0muaOsUY5L1wo","slug":"delivery-timing-exact-row-deduplication-8183ed0f","name":"Delivery Timing Exact Row Deduplication","description":"Delivery timing - Exact row deduplication: Exact row deduplication for Delivery timing. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded exact row deduplication deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-delivery-timing-deduplicate?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","route","date","delivery_minutes","distance_km"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"route":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"distance_km":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"delivery_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","route":"group-a","row_id":"row-1","distance_km":1,"delivery_minutes":10},{"date":"2026-10-02","route":"group-b","row_id":"row-2","distance_km":2,"delivery_minutes":20},{"date":"2026-10-03","route":"group-a","row_id":"row-3","distance_km":3,"delivery_minutes":15},{"date":"2026-10-04","route":"group-b","row_id":"row-4","distance_km":4,"delivery_minutes":30}],"maxItems":200,"minItems":1}}},"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_MEMUyG8vyM8r6wd1V4096","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":"Removes exact duplicate rows from delivery timing datasets containing route, date, distance, and delivery duration records — up to 200 rows per call.","exampleAgentPrompt":"I've got a batch of delivery timing records — routes like 'group-a' and 'group-b' with dates, distances in km, and delivery times in minutes — can you deduplicate the exact duplicate rows? Here are up to 10 records to clean up.","exampleUseCases":[{"title":"Clean delivery dataset before reporting","prompt":"I have a CSV of delivery timing records with route names, dates, distances in km, and delivery minutes, but I think there are some exact duplicate rows from a data pipeline glitch — can you deduplicate them so I only have unique records before I run my weekly report?"},{"title":"Pre-analysis data quality check","prompt":"Before I run my route efficiency analysis, I need to strip out any exact duplicate rows from my delivery timing data — I have about 150 records with row IDs, route names, dates, distance_km, and delivery_minutes fields. Can you clean those up for me?"},{"title":"Deduplicate merged logistics feeds","prompt":"I merged two delivery tracking feeds and ended up with a bunch of duplicate entries. Can you take these delivery timing rows — each with a row_id, route, date, distance in km, and delivery minutes — and give me back only the unique ones?"}],"resultDescription":"Returns the deduplicated set of delivery timing records with exact duplicate rows removed. Each surviving record retains its original row_id, route, date, distance_km, and delivery_minutes fields. Local numeric and data-quality processing only — no external enrichment or predictions are applied.","failureModes":["More than 200 rows submitted — request will be rejected due to maxItems constraint","Missing required fields (row_id, route, date, delivery_minutes, distance_km) on any row causes validation error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Empty rows array (minItems: 1 violated) returns an error","row_id exceeding 80 characters or empty string causes rejection"],"whenToPreferThis":"Choose this endpoint when you need fast, local exact-match row deduplication on delivery timing records (route, date, distance, delivery minutes) with no need for fuzzy matching or external enrichment. Best suited for cleaning small-to-medium batches (up to 200 rows) before downstream analysis or reporting. If you need fuzzy deduplication, forecasting, or enrichment, look elsewhere.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:32.233Z","isFirstParty":false,"canonicalSlug":"delivery-timing-exact-row-deduplication-8183ed0f"}