{"uid":"cap_ESEVb_NjFQqQkFUDAV8JY","slug":"data-ingestion-batch-analytics-quality-audit-deduplication-base-100-64824123","name":"Data Ingestion Batch Analytics: Quality Audit + Deduplication + Base-100 Series","description":"Data ingestion batches — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied data ingestion batches records (received_rows, accepted_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-01-218?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_0I7yPmSzCgm7YkhwPAiHv","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":"Runs three local analytical reports on up to 200 data ingestion batch records: record quality audit, exact row deduplication, and base-100 index series for received_rows or accepted_rows.","exampleAgentPrompt":"Can you run the three-report ingestion batch analysis on my pipeline data — quality audit, exact deduplication, and a base-100 series indexed from row 0 on the received_rows field — for these records: group-a on 2026-10-01 had 10 received and 1 accepted, group-b on 2026-10-02 had 20 received and 2 accepted?","exampleUseCases":[{"title":"ETL pipeline acceptance rate audit","prompt":"I have a week of ingestion batch logs across two dataset groups — can you run a quality audit plus exact deduplication check on these records and show me where accepted_rows diverges badly from received_rows? Here are the rows: group-a 2026-10-01 received 500 accepted 480, group-a 2026-10-02 received 600 accepted 200, group-b 2026-10-01 received 300 accepted 295, group-b 2026-10-02 received 400 accepted 0."},{"title":"Base-100 trend indexing for ingestion volume","prompt":"Index my ingestion received_rows counts to a base-100 series starting at row 0 and also run the quality and dedup reports on the same data — the records are: dataset-x on 2026-09-01 received 1000 accepted 980, 2026-09-02 received 1100 accepted 1050, 2026-09-03 received 900 accepted 870, 2026-09-04 received 1200 accepted 1180."},{"title":"Duplicate row detection in batch logs","prompt":"Can you run the exact deduplication report plus quality audit on these ingestion batch records to find any repeated rows? Groups are: alpha 2026-11-01 received 50 accepted 48, beta 2026-11-01 received 50 accepted 48, alpha 2026-11-01 received 50 accepted 48, gamma 2026-11-02 received 75 accepted 70 — index the base-100 series on accepted_rows from position 0."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging anomalies, nulls, or suspect values in the ingestion metrics; (2) an exact row deduplication report identifying identical records; (3) a base-100 index series normalizing either received_rows or accepted_rows relative to the chosen base row. All computed locally with no external data fetched.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","base_index out of range (0–199) relative to submitted row count causes indexing error","received_rows or accepted_rows values outside ±1,000,000,000,000 are rejected","Payment not attached or insufficient USDC balance blocks the request"],"whenToPreferThis":"Choose this endpoint when you need three complementary analytical passes — quality audit, deduplication, and base-100 indexing — on a batch of up to 200 ingestion records in a single low-cost call ($0.01 USDC). It is ideal for data engineers validating ETL pipeline outputs, monitoring acceptance rates, or normalizing ingestion volume trends without needing external lookups or live data connections. Prefer it over general-purpose analytics when your data is already structured as ingestion batch records with received_rows and accepted_rows fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:45:49.048Z","isFirstParty":false,"canonicalSlug":"data-ingestion-batch-analytics-quality-audit-deduplication-base-100-64824123"}