{"uid":"cap_bpT_IP8YQxLqWQTioeAI6","slug":"task-throughput-data-quality-analytics-audit-normalisation-interval-5471e119","name":"Task Throughput Data Quality & Analytics — Audit, Normalisation, Interval Filter","description":"Task throughput — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied task throughput records (tasks_started, tasks_completed). 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-operations-02-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","tasks_started","tasks_completed"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"tasks_started":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"tasks_completed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","tasks_started":10,"tasks_completed":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","tasks_started":20,"tasks_completed":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","tasks_started":15,"tasks_completed":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","tasks_started":30,"tasks_completed":4}],"maxItems":200,"minItems":1},"field":{"enum":["tasks_started","tasks_completed"],"type":"string","default":"tasks_started"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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__1E1hnpKgPP-I1v_oCmal","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 analytical reports on task throughput records: record quality audit, string normalisation, and numeric interval filtering for tasks_started/tasks_completed data.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric interval filter on these task throughput records — I have rows with row_id, team_group, date, tasks_started, and tasks_completed fields — and flag any records where tasks_started falls outside the range of 0 to 500?","exampleUseCases":[{"title":"Sprint data cleanup before reporting","prompt":"I have 150 rows of daily task throughput data from multiple team groups and I need you to audit them for quality issues, normalise the team_group strings, and filter out any rows where tasks_completed is below 0 or above 200 before I build my sprint report."},{"title":"Validate exported ops data","prompt":"Can you check this batch of operations task records for data quality problems, clean up the team_group names, and filter tasks_started to only keep values between 1 and 100? There are about 80 rows with date, row_id, team_group, tasks_started, and tasks_completed."},{"title":"Flag anomalous task counts in team logs","prompt":"I've got daily logs from our teams — around 60 rows — and I want to run a record quality audit, normalise any inconsistent team_group strings, and filter so I only see rows where tasks_completed is between 5 and 300. Can you do all three checks at once?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging data issues such as missing or malformed fields, (2) a string normalisation report on team_group and other string fields, and (3) a numeric interval filter report identifying rows where the selected field (tasks_started or tasks_completed) falls within or outside the specified minimum/maximum range. Up to 200 rows processed per call.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, date, tasks_started, tasks_completed) — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Minimum greater than maximum threshold — undefined filter behaviour","Numeric values outside allowed bounds (±1,000,000,000,000) — schema rejection","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit data quality, normalise strings, and apply a numeric range filter to task throughput records in a single low-cost call. It is best suited for batches up to 200 rows of operational task data (tasks_started/tasks_completed) where no live data lookup, prediction, or external enrichment is needed — purely local analytical processing of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:10.261Z","isFirstParty":false,"canonicalSlug":"task-throughput-data-quality-analytics-audit-normalisation-interval-5471e119"}