{"uid":"cap_wn8hPsRx1VD0IWLzzMMYU","slug":"transformation-throughput-duplicate-key-report-base-100-series-022f1c13","name":"Transformation Throughput — Duplicate Key Report + Base-100 Series","description":"Transformation throughput — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). 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-13-063?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","processed_rows","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"processed_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","processed_rows":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","processed_rows":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","processed_rows":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","processed_rows":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["processed_rows","duration_seconds"],"type":"string","default":"processed_rows"},"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_83TKyaPP1jZjs-MfZ0UBe","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":"Analyzes user-supplied transformation throughput records to produce a duplicate key report and a Base-100 indexed series for processed_rows or duration_seconds metrics.","exampleAgentPrompt":"Check my ETL throughput records for duplicate row IDs and also give me a Base-100 index of processed_rows starting from the first row — here are my records: row-1 on 2026-10-01 for group-a had 10000 processed rows in 5 seconds, row-2 on 2026-10-02 for group-b had 15000 processed rows in 8 seconds, and row-3 on 2026-10-03 for group-a had 10000 processed rows in 6 seconds.","exampleUseCases":[{"title":"ETL pipeline duplicate key audit","prompt":"I have a list of daily transformation job records and I want to know if any row IDs are duplicated — can you run a duplicate key report on these records and also index the processed_rows as a Base-100 series using the first row as the base? Here are the rows: row-1, 2026-10-01, group-a, 5000 rows, 10 seconds; row-2, 2026-10-02, group-b, 7500 rows, 12 seconds; row-1, 2026-10-03, group-a, 6000 rows, 11 seconds."},{"title":"Throughput duration baseline indexing","prompt":"Can you take these transformation job records and produce a Base-100 index for duration_seconds starting from row index 0, and also flag any duplicate row IDs? Records: row-A on 2026-11-01 dataset-X 20000 rows 30 seconds, row-B on 2026-11-02 dataset-X 22000 rows 28 seconds, row-C on 2026-11-03 dataset-Y 18000 rows 35 seconds."},{"title":"Multi-group throughput anomaly detection","prompt":"I've got throughput logs across two dataset groups and I want to spot any repeated row IDs plus see how processed_rows evolved relative to the very first entry — please run both the duplicate key report and Base-100 series on these 6 records: row-1 2026-09-01 group-alpha 1000 rows 2s, row-2 2026-09-02 group-beta 1200 rows 3s, row-3 2026-09-03 group-alpha 900 rows 2.5s, row-2 2026-09-04 group-beta 1100 rows 3.2s, row-5 2026-09-05 group-alpha 1300 rows 2.8s, row-6 2026-09-06 group-beta 1400 rows 3s."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report listing any row_id values that appear more than once across the submitted records, and (2) a Base-100 series that normalizes the selected metric (processed_rows or duration_seconds) relative to the record at the specified base_index, showing indexed values for each row. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","base_index out of range (>= number of submitted rows) — index error","Payment of 0.01 USDC not provided — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transformation throughput records and need both a duplicate key audit and a relative Base-100 index in a single call. It is ideal for data engineers who want to quickly validate row ID uniqueness and normalize processed_rows or duration_seconds metrics against a baseline row without setting up a local analytics environment. Prefer it over general-purpose analytics tools when you need a lightweight, pay-per-use report with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-28T19:42:15.937Z","isFirstParty":false,"canonicalSlug":"transformation-throughput-duplicate-key-report-base-100-series-022f1c13"}