{"uid":"cap_f4IbrXtmu1jjj0Y95pyvE","slug":"proposal-preparation-data-quality-suite-record-audit-string-f78bee07","name":"Proposal Preparation Data Quality Suite (Record Audit + String Normalisation + Adjacent Row Changes)","description":"Proposal preparation — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied proposal preparation records (completed_sections, planned_sections). 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-08-200?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","document_group","date","completed_sections","planned_sections"],"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},"planned_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_sections":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","document_group":"group-a","planned_sections":1,"completed_sections":10},{"date":"2026-10-02","row_id":"row-2","document_group":"group-b","planned_sections":2,"completed_sections":20},{"date":"2026-10-03","row_id":"row-3","document_group":"group-a","planned_sections":3,"completed_sections":15},{"date":"2026-10-04","row_id":"row-4","document_group":"group-b","planned_sections":4,"completed_sections":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_sections","planned_sections"],"type":"string","default":"completed_sections"}}},"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_dxeyG2lMooCQ8D1JZZmHy","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 adjacent row change detection — on up to 200 proposal preparation rows containing completed_sections and planned_sections fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation check, and adjacent row change detection on my proposal preparation data? Here are my rows with completed_sections and planned_sections values for document groups — I want all three reports for up to 200 rows, checking the completed_sections field.","exampleUseCases":[{"title":"Pre-submission proposal data cleanse","prompt":"I need to validate my proposal preparation records before submission — can you audit them for quality issues, normalise any string inconsistencies, and flag where adjacent rows show unexpected changes in completed_sections? I have about 50 rows across two document groups."},{"title":"Tracking section completion anomalies","prompt":"We're tracking planned_sections vs completed_sections across multiple proposal document groups. Can you run the quality audit and adjacent row change report on this data so I can spot any weird jumps or bad entries before we report to stakeholders?"},{"title":"Cleaning imported proposal records","prompt":"I've just imported proposal preparation data from our project management tool and I'm worried about formatting issues and data gaps. Can you run string normalisation and a record quality audit on these rows — there are about 120 entries with completed_sections and planned_sections — and tell me what needs fixing?"}],"resultDescription":"Three independent reports covering: (1) record quality audit flagging missing, null, or out-of-range values; (2) string normalisation findings for text fields like document_group; (3) adjacent row change detection highlighting significant shifts between consecutive rows in the selected numeric field (completed_sections or planned_sections). All computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with maxItems violation","Missing required fields (row_id, date, document_group) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","field enum value not one of completed_sections or planned_sections — rejection","Empty rows array (minItems:1 not met) — error returned","numeric values outside ±1,000,000,000,000 bounds — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need a fast, low-cost ($0.01 USDC) batch quality check on proposal preparation records that combines three distinct analytical passes — quality auditing, string normalisation, and sequential row change detection — in a single call. Prefer it over single-purpose validators when you want all three report types simultaneously without external lookups or predictions, and when your dataset is 200 rows or fewer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:28.903Z","isFirstParty":false,"canonicalSlug":"proposal-preparation-data-quality-suite-record-audit-string-f78bee07"}