{"uid":"cap_ICWCU_ujzOnrCoK7louoI","slug":"document-version-comparison-record-quality-audit-string-normalisation-725ef824","name":"Document Version Comparison — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Document version comparison — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied document version comparison records (changed_paragraphs, total_paragraphs). 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-writing-19-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","changed_paragraphs","total_paragraphs"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"document_group":{"type":"string","default":"","maxLength":80},"total_paragraphs":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"changed_paragraphs":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","total_paragraphs":1,"changed_paragraphs":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","total_paragraphs":2,"changed_paragraphs":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","total_paragraphs":3,"changed_paragraphs":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","total_paragraphs":4,"changed_paragraphs":30}],"maxItems":200,"minItems":1},"field":{"enum":["changed_paragraphs","total_paragraphs"],"type":"string","default":"changed_paragraphs"}}},"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_2eOwaS1k2ylgsyYOUHc6q","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 numeric row ordering) on document version comparison data containing changed_paragraphs and total_paragraphs fields for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my document version comparison data? I have rows with fields like row_id, document_group, date, changed_paragraphs, and total_paragraphs — here are up to 200 rows, and I want the analysis focused on the changed_paragraphs field.","exampleUseCases":[{"title":"Document revision data quality check","prompt":"I have a dataset of document revisions with paragraph change counts across different document groups and dates. Can you audit the record quality, normalise the document_group strings, and order the rows by changed_paragraphs to spot any data issues before I process this further?"},{"title":"Editorial pipeline pre-processing","prompt":"Before we import our document comparison export into the editorial dashboard, can you run a quality audit, string normalisation, and numeric ordering on these records? There are about 150 rows each with a date, document_group, changed_paragraphs, and total_paragraphs."},{"title":"Version tracking anomaly detection","prompt":"We're tracking paragraph changes across document versions and I suspect some rows have dirty strings or out-of-order numeric values. Can you run the three-report analysis — quality audit, string normalisation, and numeric row ordering — on my total_paragraphs field for this batch of 80 document version comparison records?"}],"resultDescription":"Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report cleaning and standardising the document_group and other string fields; and (3) a numeric row ordering report ranking rows by the selected numeric field (changed_paragraphs or total_paragraphs). All processing is done locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, document_group, date, changed_paragraphs, total_paragraphs) causes row rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Selecting a field not in the enum (changed_paragraphs or total_paragraphs) returns an error","Payment of 0.01 USDC required; missing or failed payment returns 402 status"],"whenToPreferThis":"Choose this endpoint when you need a combined data-quality, string-normalisation, and numeric-ordering analysis specifically on document version comparison records with paragraph change metrics, in a single low-cost call. It is ideal for pre-processing document diff exports before downstream analytics, when you want three reports bundled for $0.01 rather than calling separate services. Not suitable if you need live document fetching, external lookups, or predictive analytics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:53.656Z","isFirstParty":false,"canonicalSlug":"document-version-comparison-record-quality-audit-string-normalisation-725ef824"}