{"uid":"cap_Y5r90hFKN2rHx17lHSEs9","slug":"data-ingestion-batches-adjacent-row-changes-base-100-series-analytics-97227316","name":"Data Ingestion Batches — Adjacent Row Changes + Base-100 Series Analytics","description":"Data ingestion batches — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series for supplied data ingestion batches records (received_rows, accepted_rows). 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-01-155?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","received_rows","accepted_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"accepted_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"received_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","accepted_rows":1,"dataset_group":"group-a","received_rows":10},{"date":"2026-10-02","row_id":"row-2","accepted_rows":2,"dataset_group":"group-b","received_rows":20},{"date":"2026-10-03","row_id":"row-3","accepted_rows":3,"dataset_group":"group-a","received_rows":15},{"date":"2026-10-04","row_id":"row-4","accepted_rows":4,"dataset_group":"group-b","received_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["received_rows","accepted_rows"],"type":"string","default":"received_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_lpD2KTAXBF5pRD5J0VdiH","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":"Computes adjacent row-over-row changes and base-100 indexed series for up to 200 data ingestion batch records across received_rows and accepted_rows metrics.","exampleAgentPrompt":"Run both adjacent row changes and base-100 series reports on my ingestion data — I have rows for dataset groups 'sales' and 'events' across October 2026 with received_rows values, starting the index from row 0, analyzing the received_rows field.","exampleUseCases":[{"title":"Daily pipeline ingestion trend analysis","prompt":"I have daily ingestion batch records for October 2026 across two dataset groups, 'crm' and 'logs'. Can you compute the adjacent row changes and base-100 series for received_rows, using row 0 as the base index, so I can see how throughput shifted day to day?"},{"title":"Accepted rows quality monitoring over time","prompt":"Here are 30 rows of ingestion batch data with accepted_rows counts per date for my 'payments' dataset group — run both the row-over-row change report and the base-100 indexed series on accepted_rows starting from index 0 so I can spot any quality dips."},{"title":"Multi-group ingestion benchmark comparison","prompt":"I want to benchmark how received_rows grew relative to an early baseline across my 'api' and 'batch-upload' dataset groups. Can you run the adjacent row changes plus base-100 series on this ingestion data with base_index set to 2?"}],"resultDescription":"Returns two analytical reports: (1) adjacent row-over-row changes for the selected metric (received_rows or accepted_rows) across the supplied rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error","Date strings not matching YYYY-MM-DD pattern — schema validation failure","base_index out of range (0–199) — invalid parameter error","All numeric values null — computation may return empty or degenerate results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data ingestion batch records and need both a sequential change analysis (adjacent deltas) and a normalized base-100 growth series in a single low-cost call. It is ideal for pipeline monitoring dashboards, ETL QA workflows, and data quality trend reports where you supply the data yourself and need fast offline analytics without any external data fetching.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:07.904Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-adjacent-row-changes-base-100-series-analytics-97227316"}