{"uid":"cap_1kA2qXqIGqI4Cqw6JxDjQ","slug":"internal-support-record-quality-audit-string-normalisation-category-703be55f","name":"Internal Support Record Quality Audit + String Normalisation + Category Frequencies","description":"Internal support — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied internal support records (responded_requests, received_requests). 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-22-195?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","responded_requests","received_requests"],"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},"received_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"responded_requests":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","received_requests":1,"responded_requests":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","received_requests":2,"responded_requests":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","received_requests":3,"responded_requests":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","received_requests":4,"responded_requests":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_LDXA3qlg7GqYm9Ogu2Iih","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 (record quality audit, string normalisation, and category frequencies) on up to 200 internal support records containing responded and received request counts.","exampleAgentPrompt":"Can you audit the quality of our support records, normalise the team group strings, and give me category frequencies for these rows — I have up to 50 records with fields like row_id, team_group, date, received_requests, and responded_requests across teams like 'group-a' and 'group-b'?","exampleUseCases":[{"title":"Weekly support team data quality check","prompt":"I've got this week's support request data for our three teams — about 80 rows with row_id, team_group, date, received_requests, and responded_requests. Can you run a record quality audit, normalise the team group names, and give me a category frequency breakdown all at once?"},{"title":"Identify dirty strings in team labels","prompt":"Our internal support export has inconsistent team_group labels across 120 rows — things like 'Group A', 'group-a', 'GroupA'. Can you normalise those strings and also give me a quality audit and category frequency count for the whole dataset?"},{"title":"Monthly support category frequency report","prompt":"I need a category frequency report on our monthly support records — 150 rows with responded_requests and received_requests per team per day. Please also include a record quality audit and string normalisation pass on the team_group field."}],"resultDescription":"Three independent analytical reports for the supplied rows: (1) a record quality audit flagging missing values, anomalies, or data integrity issues; (2) string normalisation results for team_group and other string fields; and (3) category frequency counts showing how often each team_group or category appears across the dataset.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, team_group, date, responded_requests, received_requests) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside the allowed range cause input rejection","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously run record quality audits, string normalisation, and category frequency analysis on internal support data (responded/received request counts by team and date) in a single cheap call ($0.01 USDC for all three reports). It is well-suited for batch offline analysis of up to 200 rows without needing live lookups, predictions, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:25.113Z","isFirstParty":false,"canonicalSlug":"internal-support-record-quality-audit-string-normalisation-category-703be55f"}