{"uid":"cap_uZXnfEVpYm_a6qVN8gRY_","slug":"proposal-preparation-data-quality-suite-record-audit-string-9da7be31","name":"Proposal Preparation Data Quality Suite — Record Audit, String Normalisation & Numeric Interval Filter","description":"Proposal preparation — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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-08-197?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_6uKKrUmtYlnqQ6ObrJKZA","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 independent data-quality reports (record quality audit, string normalisation, and numeric interval filter) on up to 200 proposal preparation rows containing completed_sections and planned_sections fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on my proposal preparation data — here are 4 rows with row IDs row-1 through row-4, document groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, and I want to filter the completed_sections field between 0 and 100?","exampleUseCases":[{"title":"Pre-submission proposal data audit","prompt":"I have 50 proposal preparation records with completed_sections and planned_sections values and I want to check them for quality issues, normalise any string fields, and flag any rows where completed_sections falls outside the range 0 to 500 before I submit — can you run all three checks?"},{"title":"Cleaning document group labels","prompt":"My proposal dataset has inconsistent casing and whitespace in the document_group field across 120 rows — can you run the string normalisation report along with the record quality audit so I can see which rows need fixing?"},{"title":"Filtering out-of-range planned sections","prompt":"I need to find all proposal rows where planned_sections is below 1 or above 200 — can you run the numeric interval filter on the planned_sections field across my 80 proposal records, with minimum 1 and maximum 200, and also give me the quality audit?"}],"resultDescription":"Three separate analytical reports delivered together: (1) a record quality audit flagging malformed, missing, or anomalous entries in the proposal preparation rows; (2) a string normalisation report identifying and correcting inconsistencies in text fields such as document_group; (3) a numeric interval filter report listing which rows have completed_sections or planned_sections values outside the specified minimum/maximum bounds. All processing is local with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems violation returns validation error","More than 200 rows submitted — maxItems exceeded returns rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range rejected","Invalid field enum value (anything other than completed_sections or planned_sections) causes schema error","Missing required fields (row_id, date, document_group) cause per-row rejection","Payment of 0.01 USDC not provided — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 proposal preparation records and need all three data-quality operations — record auditing, string normalisation, and numeric range filtering — in a single low-cost call. It is purpose-built for the completed_sections and planned_sections schema and requires no external data sources or live lookups, making it fast and deterministic. Prefer it over generic data-quality tools when your data is already structured in the expected proposal preparation format.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:05.920Z","isFirstParty":false,"canonicalSlug":"proposal-preparation-data-quality-suite-record-audit-string-9da7be31"}