{"uid":"cap_8qUOLVO6tmNtQ2iW1n8xA","slug":"document-approvals-string-normalisation-numeric-row-ordering-b4d93ebe","name":"Document Approvals — String Normalisation + Numeric Row Ordering","description":"Document approvals — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied document approvals records (submitted_documents, approved_documents). 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-17-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","submitted_documents","approved_documents"],"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},"approved_documents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"submitted_documents":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","approved_documents":1,"submitted_documents":10},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","approved_documents":2,"submitted_documents":20},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","approved_documents":3,"submitted_documents":15},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","approved_documents":4,"submitted_documents":30}],"maxItems":200,"minItems":1},"field":{"enum":["submitted_documents","approved_documents"],"type":"string","default":"submitted_documents"}}},"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_SHLAdnAndiw2G3MlCza1T","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 orders rows numerically for document approval records (submitted_documents, approved_documents) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you normalise the string fields and sort these document approval records numerically by submitted_documents — I have 4 rows with team_group, date, row_id, submitted_documents, and approved_documents — and give me the two analytical reports?","exampleUseCases":[{"title":"Ranking teams by approval volume","prompt":"I have approval records for two teams over the past week — can you take these rows with row_id, team_group, date, submitted_documents, and approved_documents and sort them numerically by approved_documents, plus normalise any messy string fields? I need the two analytical reports back."},{"title":"Cleaning submitted document counts","prompt":"These document approval entries have inconsistent team group names and I need the rows ordered by submitted_documents — can you run string normalisation and numeric row ordering on my 10 rows and return the two reports?"},{"title":"Auditing approval pipeline by date","prompt":"Can you process our document approval data — about 50 rows with submitted and approved document counts per team and date — normalise the strings and sort numerically by approved_documents so I can audit which groups have the biggest backlog?"}],"resultDescription":"Returns 2 independent analytical reports: one applying string normalisation to the text fields (team_group, row_id, date) in the supplied document approval rows, and one ordering the rows numerically by the selected field (submitted_documents or approved_documents), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, submitted_documents, approved_documents) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 bounds cause schema errors","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have document approval records (with submitted and approved document counts per team and date) and need both string field normalisation and numeric ordering in a single low-cost call. It is well-suited for small-to-medium datasets (up to 200 rows) where no live data lookup, prediction, or external action is needed — purely local analytical transformation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:07.542Z","isFirstParty":false,"canonicalSlug":"document-approvals-string-normalisation-numeric-row-ordering-b4d93ebe"}