{"uid":"cap_AQWpDlxzTi2pd5Xsgr8NN","slug":"form-inventories-string-normalisation-duplicate-key-report-1bb74948","name":"Form Inventories — String Normalisation + Duplicate Key Report","description":"Form inventories — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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-21-021?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_oaWA-JI3pxOjbaa6C38Cz","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":"Normalises strings and generates a duplicate key report for up to 200 form inventory records containing field_count and labelled_fields data.","exampleAgentPrompt":"I have a batch of form inventory records with site_group, date, field_count, and labelled_fields columns — can you run string normalisation and a duplicate key report on all of them? Here are 4 rows: row-1 for group-a on 2026-10-01 with field_count 10 and labelled_fields 1, row-2 for group-b on 2026-10-02 with field_count 20 and labelled_fields 2, row-3 for group-a on 2026-10-03 with field_count 15 and labelled_fields 3, row-4 for group-b on 2026-10-04 with field_count 30 and labelled_fields 4.","exampleUseCases":[{"title":"Auditing form field labelling across site groups","prompt":"I've got 50 rows of form inventory data across different site groups with dates, field counts, and labelled field counts — can you normalise the string values and flag any duplicate row IDs or site/date combos for me?"},{"title":"Cleaning up exported form tracker data","prompt":"I exported our form inventory tracker and I think there are duplicate entries and inconsistent string casing in the site_group column — run string normalisation and a duplicate key report on these 120 rows please."},{"title":"Pre-processing form data before dashboard import","prompt":"Before I load this form inventory data into our dashboard, can you normalise all the string fields and give me a duplicate key report so I can fix issues first? It's about 80 rows with row_id, site_group, date, field_count, and labelled_fields."}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report showing standardised/cleaned string values for the supplied records, and (2) a duplicate key report identifying repeated or conflicting keys across up to 200 form inventory rows, all processed locally without external lookups.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, site_group, date, field_count, labelled_fields) — validation error","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure","row_id empty or blank — minLength violation","Payment not attached or insufficient USDC — 402 response"],"whenToPreferThis":"Use this endpoint when you need two bundled data-quality operations — string normalisation and duplicate key detection — applied together to form inventory records in a single low-cost call. It is ideal for batch pre-processing of up to 200 rows before loading into a dashboard or database, and is preferable over general-purpose data tools when you specifically have form field inventory data (field_count, labelled_fields, site_group) and want deterministic local analysis without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:38.142Z","isFirstParty":false,"canonicalSlug":"form-inventories-string-normalisation-duplicate-key-report-1bb74948"}