{"uid":"cap_qYwHQZe5Al-mTIJcg0gx8","slug":"form-inventories-record-quality-audit-string-normalisation-74eb9e2d","name":"Form Inventories — Record Quality Audit + String Normalisation","description":"Form inventories — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied form inventories records (field_count, labelled_fields). 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-web-21-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","field_count","labelled_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"field_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"labelled_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","field_count":10,"labelled_fields":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","field_count":20,"labelled_fields":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","field_count":15,"labelled_fields":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","field_count":30,"labelled_fields":4}],"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_UGzpCz-2JxIDBmzdNBtph","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":"Audits record quality and normalises strings in form inventory data (field_count, labelled_fields), producing two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my form inventory data? I have rows with fields like row_id, site_group, date, field_count, and labelled_fields — up to 50 rows across two site groups — and I need both reports back.","exampleUseCases":[{"title":"Auditing form field labelling completeness","prompt":"I have a CSV of form inventory records from the past month with columns for row_id, site_group, date, field_count, and labelled_fields — can you run a record quality audit on up to 150 rows and flag any quality issues or inconsistencies?"},{"title":"Normalising site group strings across inventories","prompt":"My form inventory dataset has messy string values in the site_group field — things like 'Group A', 'group-a', 'GROUP A' mixed together. Can you run the string normalisation report on these 80 rows so I get consistent values back?"},{"title":"Pre-migration data quality check on form data","prompt":"Before I migrate our form tracking data to the new system, I need a quality audit on these 200 form inventory records — covering field_count and labelled_fields — and a string normalisation pass to clean up any issues. Can you run both reports?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying malformed, missing, or anomalous values across field_count and labelled_fields per row; (2) a string normalisation report standardising text fields such as site_group and date strings. No external lookups or live predictions are made — all analysis uses local analytical engines.","failureModes":["Exceeding 200 rows returns an error — batch must be split","Missing required fields (row_id, date, field_count, labelled_fields) cause row-level validation failures","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Empty rows array returns an error (minItems: 1)","Numeric values outside allowed range (-1e12 to 1e12) may be rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, local-engine data quality auditing and string normalisation specifically for form inventory records with field_count and labelled_fields metrics. Ideal when no live lookups, external predictions, or professional assessments are needed — just deterministic quality checks and string standardisation at low cost ($0.01 for two reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:47.942Z","isFirstParty":false,"canonicalSlug":"form-inventories-record-quality-audit-string-normalisation-74eb9e2d"}