{"uid":"cap_eCZ4uGlZz65l8xJljEqdS","slug":"research-task-completion-record-quality-audit-string-normalisation-13bfb532","name":"Research Task Completion — Record Quality Audit + String Normalisation + Duplicate Key Report","description":"Research task completion — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied research task completion records (completed_tasks, assigned_tasks). 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-company-22-192?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","completed_tasks","assigned_tasks"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"assigned_tasks":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_tasks":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","assigned_tasks":1,"completed_tasks":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","assigned_tasks":2,"completed_tasks":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","assigned_tasks":3,"completed_tasks":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","assigned_tasks":4,"completed_tasks":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_pC6T_xNfpIofd2JbLk-Xn","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, and duplicate key detection) on up to 200 research task completion records containing completed_tasks and assigned_tasks fields.","exampleAgentPrompt":"Can you audit these research task completion records for quality issues, normalise the strings, and flag any duplicate row keys? I have up to 50 rows with fields like row_id, company_group, date, completed_tasks, and assigned_tasks.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I have 120 research task completion records from multiple company groups and I need to check them for data quality issues, normalise any inconsistent string values, and find any duplicate row IDs before I run my analysis — can you do all three reports at once?"},{"title":"Research pipeline data cleaning","prompt":"Before we load this batch of completed_tasks and assigned_tasks data into our dashboard, can you run a quality audit, string normalisation, and duplicate key check on these 80 rows? The fields are row_id, company_group, date, completed_tasks, and assigned_tasks."},{"title":"Research team tracking deduplication","prompt":"Our research team tracking spreadsheet has about 60 rows of task completion data and I suspect there are duplicate entries and inconsistent company group names — can you audit the record quality, normalise the strings, and give me a duplicate key report?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report showing standardised versions of text fields like company_group; (3) a duplicate key report identifying rows sharing the same key values. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) causes validation failure","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) may cause errors","Empty row arrays are rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need all three of record quality auditing, string normalisation, and duplicate key detection bundled into a single low-cost call for research task completion data specifically. It is ideal when you have up to 200 rows with completed_tasks and assigned_tasks fields and want local-only analysis without any live lookups, external data enrichment, or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:08.753Z","isFirstParty":false,"canonicalSlug":"research-task-completion-record-quality-audit-string-normalisation-13bfb532"}