{"uid":"cap_UCGAzVGQFHq4ItFdQM17B","slug":"data-ingestion-batches-base-100-series-explicit-missing-value-fill-b79e1014","name":"Data Ingestion Batches — Base-100 Series + Explicit Missing-Value Fill","description":"Data ingestion batches — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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-01-169?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_vMwH5fGXq_uzi5hF9kE1Y","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 a Base-100 index series and fills missing values (zero/mean/median) for up to 200 rows of data ingestion batch records (received_rows, accepted_rows).","exampleAgentPrompt":"I have 4 rows of daily ingestion data for two dataset groups — normalize the received_rows field to a base-100 index starting from row index 0, and fill any missing values using the median method.","exampleUseCases":[{"title":"ETL pipeline acceptance rate indexing","prompt":"I have a week of ETL batch records across two pipeline groups. Can you normalize the accepted_rows to a base-100 index starting at day 0 and fill any null values with the mean so I can compare acceptance trends across groups?"},{"title":"Data quality gap filling for ingestion metrics","prompt":"My ingestion log has some missing received_rows entries. Fill those gaps using the median of the available values, then compute a base-100 series so I can see how throughput has changed over time — I have about 50 rows spanning the last month."},{"title":"Multi-group ingestion throughput comparison","prompt":"I want to compare received_rows across three dataset groups over the past quarter — can you fill any missing values with zero and generate a base-100 index starting from index 0 for all 120 rows so I can benchmark each group against its own starting point?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a Base-100 index series rebasing the selected field (received_rows or accepted_rows) to 100 at the specified base index row, and (2) an explicit missing-value fill series using the chosen method (zero, mean, or median). Results cover all submitted rows (up to 200) using local analytical engines with no external data access.","failureModes":["More than 200 rows submitted — request rejected, reduce batch size","Missing required fields (row_id, date, dataset_group) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","base_index out of range (must be 0–199 and within submitted row count) — error","All values null for chosen field — mean/median fill may return zero or undefined","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need to normalize time-series ingestion metrics (received_rows or accepted_rows) to a common base-100 scale for trend comparison, and/or need to impute missing numeric values before analysis — all in a single cheap call ($0.01 USDC) against your own supplied data with no external lookups. Prefer it over general-purpose analytics tools when you want two pre-packaged reports (indexing + gap-fill) for pipeline batch data specifically, without setting up your own compute environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:41.062Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batches-base-100-series-explicit-missing-value-fill-b79e1014"}