{"uid":"cap_c3UyUfwM7ORsSHcYM0-hO","slug":"dataset-storage-exact-row-deduplication-base-100-series-f741e145","name":"Dataset Storage: Exact Row Deduplication + Base-100 Series","description":"Dataset storage — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied dataset storage records (used_mb, row_count). 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-analytics-18-047?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_gJ4Ub63ApLqsmcIyMvN3P","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":"Deduplicates dataset storage records and computes a Base-100 indexed time series for used_mb or row_count metrics across up to 200 rows.","exampleAgentPrompt":"Can you deduplicate these dataset storage records and compute a Base-100 indexed series for used_mb, starting from row index 0? Here are the rows: group-a on 2026-10-01 used 10 MB with 1 row, group-b on 2026-10-02 used 20 MB with 2 rows, group-a on 2026-10-03 used 15 MB with 3 rows.","exampleUseCases":[{"title":"Storage growth trend after deduplication","prompt":"I have a list of dataset storage records with used_mb values across multiple dates — can you deduplicate them and then show me how storage grew relative to the first entry using a Base-100 index?"},{"title":"Monthly storage audit for data team","prompt":"Here are 150 storage records for our datasets from the past quarter with used_mb and row_count. Can you remove any exact duplicate rows and then give me a Base-100 series on row_count starting from index 0 so I can see relative growth?"},{"title":"Compare group storage trends after dedup","prompt":"I've got mixed records from dataset groups A and B with dates and used_mb — can you deduplicate them and produce a Base-100 indexed series for used_mb starting at row 2, so I can benchmark growth from that point?"}],"resultDescription":"Returns two analytical reports: (1) a deduplication report identifying and removing exact duplicate rows from the supplied dataset storage records, and (2) a Base-100 indexed time series for the selected field (used_mb or row_count), normalized to 100 at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — input exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, used_mb, or row_count) in one or more rows","Invalid date format — must match YYYY-MM-DD pattern","base_index out of range (0–199) or exceeds number of rows supplied","Payment not completed via x402 protocol — endpoint returns 402","All rows are duplicates resulting in empty post-dedup dataset","field value not in allowed enum (used_mb or row_count)"],"whenToPreferThis":"Choose this endpoint when you need both duplicate removal and Base-100 trend indexing on dataset storage metrics (used_mb, row_count) in a single low-cost call. It is ideal for small-to-medium analytical tasks (up to 200 rows) where you want relative growth indexed to a baseline row without relying on external data sources or live lookups. Prefer sibling endpoints if you need IQR outlier flagging, string normalization, or record quality audits instead of Base-100 indexing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:10.260Z","isFirstParty":false,"canonicalSlug":"dataset-storage-exact-row-deduplication-base-100-series-f741e145"}