{"uid":"cap_w27L-Sk9tugaZjwxgE6m8","slug":"process-handoffs-record-quality-audit-string-normalisation-numeric-175687be","name":"Process Handoffs — Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"Process handoffs — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied process handoffs records (handoff_count, wait_minutes). 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-18-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","handoff_count","wait_minutes"],"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},"wait_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handoff_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","wait_minutes":1,"handoff_count":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","wait_minutes":2,"handoff_count":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","wait_minutes":3,"handoff_count":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","wait_minutes":4,"handoff_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["handoff_count","wait_minutes"],"type":"string","default":"handoff_count"},"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_tGrEp0i2SB4kyC2s0K-19","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 process handoff records: a data quality audit, string normalisation, and a numeric interval filter on handoff_count or wait_minutes fields.","exampleAgentPrompt":"Can you audit the quality, normalise the team_group strings, and filter by handoff_count between 0 and 100 for this batch of process handoff records? Here are the rows: [{\"row_id\":\"r1\",\"team_group\":\"group-a\",\"date\":\"2026-10-01\",\"handoff_count\":10,\"wait_minutes\":5},{\"row_id\":\"r2\",\"team_group\":\"group-b\",\"date\":\"2026-10-02\",\"handoff_count\":120,\"wait_minutes\":8}].","exampleUseCases":[{"title":"Pre-reporting handoff data cleanse","prompt":"I have 150 rows of process handoff logs for October — can you run a quality audit on them, normalise the team_group names, and filter to only rows where wait_minutes is between 0 and 60?"},{"title":"Outlier detection in handoff counts","prompt":"Check these process handoff records for data quality issues and filter the handoff_count field to only keep rows between 1 and 50 — I want to flag anything outside that range as suspicious."},{"title":"Preparing handoff data for a team review","prompt":"Before I share this handoff dataset with the ops team, can you audit it for quality problems, clean up the team_group strings, and filter out any records where handoff_count falls outside 0 to 200?"}],"resultDescription":"Returns three independent reports for up to 200 rows: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) normalised string output for the team_group field; and (3) a filtered subset of rows where the selected numeric field (handoff_count or wait_minutes) falls within the specified minimum–maximum interval.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, team_group, handoff_count, wait_minutes) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a schema error","Minimum value greater than maximum value may produce empty filter results","Numeric values outside allowed range (-1e12 to 1e12) are rejected"],"whenToPreferThis":"Choose this endpoint when you need a low-cost, offline (no external lookup) combined data quality check, string normalisation, and numeric range filter on process handoff records in a single call. Ideal for pre-processing handoff datasets before reporting or sharing, when all three operations are needed together on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:04.082Z","isFirstParty":false,"canonicalSlug":"process-handoffs-record-quality-audit-string-normalisation-numeric-175687be"}