{"uid":"cap_JoVukql1QAEdCzat4ddxi","slug":"process-handoffs-record-quality-audit-string-normalisation-numeric-9ebb2215","name":"Process Handoffs — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Process handoffs — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-18-196?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"}}},"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_V1OG78d4dzKkkQES16SRw","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 (record quality audit, string normalisation, numeric row ordering) on up to 200 rows of process handoff data (handoff_count, wait_minutes).","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my process handoff data — I have 4 rows for teams group-a and group-b with dates from 2026-10-01 to 2026-10-04, handoff_count values of 10, 20, 15, 30 and wait_minutes of 1, 2, 3, 4 — order by handoff_count?","exampleUseCases":[{"title":"Pre-pipeline handoff data validation","prompt":"I have a batch of 50 process handoff records from last week with handoff_count and wait_minutes for three team groups — can you run a full quality audit, normalise the team_group strings, and sort the rows by wait_minutes so I can spot anomalies before loading them into our dashboard?"},{"title":"Weekly ops data cleaning routine","prompt":"Every Monday I get a CSV of process handoff logs — today I have 120 rows with team names in mixed case and some messy handoff_count values. Can you run the quality audit, fix the string normalisation on team_group, and order everything numerically by handoff_count?"},{"title":"Comparing handoff counts across teams","prompt":"I want to compare handoff_count performance across my four team groups for October 2026 — here are 4 rows of data. Can you audit the record quality, normalise the group name strings, and return them ordered by handoff_count so I can see who's highest?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging issues in the supplied rows, (2) string-normalised versions of text fields such as team_group, and (3) the rows reordered by the selected numeric field (handoff_count or wait_minutes). All processing is done locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, team_group) causes row rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error","Invalid field enum value (not handoff_count or wait_minutes) causes request failure"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations — quality audit, string normalisation, and numeric ordering — applied to process handoff records in a single low-cost call. It is ideal for pre-pipeline data cleaning of operations datasets with up to 200 rows where no live data lookup, prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:04.874Z","isFirstParty":false,"canonicalSlug":"process-handoffs-record-quality-audit-string-normalisation-numeric-9ebb2215"}