{"uid":"cap_xMnlkEIm-ixyhMkhHJKiJ","slug":"form-inventories-string-normalisation-and-two-measure-correlation-7557081e","name":"Form Inventories String Normalisation and Two-Measure Correlation","description":"Form inventories — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-21-033?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_atCF4-cf941-dsgLT5CSp","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":"Performs string normalisation and two-measure correlation analysis on form inventory records (field_count, labelled_fields) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a two-measure correlation analysis on my form inventory data? I have up to 50 rows with fields like row_id, site_group, date, field_count, and labelled_fields — I want two reports showing how correlated field_count and labelled_fields are.","exampleUseCases":[{"title":"Form labelling completeness analysis","prompt":"I have data from our web forms across two site groups over the past month — each row has a date, site_group, field_count, and labelled_fields. Can you normalise the strings and run a two-measure correlation to see how closely labelling tracks total field count? I have about 80 rows."},{"title":"Audit form accessibility across groups","prompt":"We're auditing how well our forms are labelled for accessibility. I have a dataset of 120 form inventory records with field_count and labelled_fields per date and site group. Please normalise the strings and give me two correlation reports between those two measures."},{"title":"Compare form structure across site groups","prompt":"Can you analyse this form inventory dataset of 40 rows — one entry per day per site group — and normalise the site_group strings and compute the correlation between field_count and labelled_fields? I need two independent analytical reports."}],"resultDescription":"Two independent analytical reports covering: (1) normalised string representations of the text fields in the supplied form inventory rows, and (2) a two-measure correlation analysis between field_count and labelled_fields across all supplied rows. Results are computed locally with no external lookups or predictions.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, field_count, labelled_fields) cause row rejection","Dates not matching YYYY-MM-DD pattern fail schema validation","Null numeric values may reduce correlation quality","Malformed row objects with extra properties are rejected due to additionalProperties: false"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic string normalisation combined with a two-measure correlation analysis on form inventory data (field_count vs labelled_fields) for up to 200 rows at a low fixed cost. It is ideal for auditing form labelling completeness across site groups without requiring any live data connections, external APIs, or professional assessment services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:37.818Z","isFirstParty":false,"canonicalSlug":"form-inventories-string-normalisation-and-two-measure-correlation-7557081e"}