{"uid":"cap_k-3vdmw66jC6bnRxQ4Z0u","slug":"process-handoffs-string-normalisation-duplicate-key-report-57128791","name":"Process Handoffs — String Normalisation + Duplicate Key Report","description":"Process handoffs — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied process handoffs records (handoff_count, wait_minutes). 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-operations-18-021?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}}},"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_lRBDO-g78nHnwi6UkVdub","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":"Normalises string fields and identifies duplicate row keys in process handoff records (handoff_count, wait_minutes) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you normalise the team group strings and check for any duplicate row IDs in this batch of process handoff records — I have 4 rows with team_group, date, handoff_count, and wait_minutes fields I need cleaned up?","exampleUseCases":[{"title":"Cleaning operations team handoff exports","prompt":"I've got a CSV of process handoffs from three teams — group-a and group-b — with dates, handoff counts, and wait times. Can you normalise the team name strings and flag any rows with duplicate row IDs so I can clean the dataset before analysis?"},{"title":"Auditing duplicate entries in handoff logs","prompt":"Our operations system may have logged some handoff records twice. I have about 150 rows with row_id, team_group, date, handoff_count, and wait_minutes. Can you run a duplicate key check and also normalise the string fields so I can identify the bad entries?"},{"title":"Pre-processing handoff data for reporting","prompt":"Before I load this handoff data into our dashboard I need to make sure there are no duplicate row IDs and that team group names are consistently formatted. Here are 80 rows with handoff_count and wait_minutes — can you give me the normalisation and duplicate reports?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report showing standardised versions of string fields such as team_group, and (2) a duplicate key report identifying any row_id values that appear more than once across the submitted rows. No external lookups or predictions are made; analysis is performed locally on the supplied data only.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, team_group, date, handoff_count, wait_minutes) cause row-level rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Empty rows array returns an error","Payment of 0.01 USDC must be included via x402 protocol or request is rejected"],"whenToPreferThis":"Choose this endpoint when you need lightweight, offline data-quality processing on process handoff records — specifically string normalisation and duplicate key detection — without requiring any external API calls, predictions, or live data lookups. It is best suited for pre-processing small-to-medium batches (up to 200 rows) of handoff data before downstream analytics or reporting. Prefer it over general-purpose ETL tools when you want a low-cost, single-call solution that returns two targeted reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:01.944Z","isFirstParty":false,"canonicalSlug":"process-handoffs-string-normalisation-duplicate-key-report-57128791"}