{"uid":"cap_EIxLeQjJELEpVJBHxTfvV","slug":"structured-data-observations-string-normalisation-numeric-row-ordering-0e2ae6b2","name":"Structured Data Observations — String Normalisation + Numeric Row Ordering","description":"Structured data observations — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied structured data observations records (valid_items, total_items). 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-08-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","valid_items","total_items"],"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},"total_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"valid_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","total_items":1,"valid_items":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","total_items":2,"valid_items":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","total_items":3,"valid_items":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","total_items":4,"valid_items":30}],"maxItems":200,"minItems":1},"field":{"enum":["valid_items","total_items"],"type":"string","default":"valid_items"}}},"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_r5mPTlWzqHsElARdpgVg5","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 string fields and orders rows numerically for structured data observation records with valid_items and total_items fields, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalise the string fields and sort the rows by valid_items for my observation dataset? I have 4 rows: row-1 for group-a on 2026-10-01 with valid_items=10 and total_items=1, row-2 for group-b on 2026-10-02 with valid_items=20 and total_items=2, row-3 for group-a on 2026-10-03 with valid_items=15 and total_items=3, and row-4 for group-b on 2026-10-04 with valid_items=30 and total_items=4.","exampleUseCases":[{"title":"Cleaning site group observation records","prompt":"I have a batch of 50 observation records across different site groups with messy string labels and I need them normalised, then sorted by total_items ascending — can you run the two analytical reports on them for me?"},{"title":"Ordering pipeline data quality rows by valid count","prompt":"Take these 120 rows of data quality observations with row_id, site_group, date, valid_items, and total_items fields, normalise the strings, and order the rows numerically by valid_items so I can review which records have the lowest valid counts."},{"title":"Preparing structured exports for downstream reporting","prompt":"Before I export my structured observation dataset to our reporting tool, can you normalise the site_group strings and reorder all 200 rows by their total_items values? I want two clean analytical reports back."}],"resultDescription":"Returns 2 independent analytical reports covering the submitted structured data observation rows (up to 200): one applying string normalisation to string fields (e.g. site_group) and one applying numeric row ordering based on the selected field (valid_items or total_items), all processed locally with no external lookups or predictions.","failureModes":["Exceeding 200 rows causes rejection — keep input within maxItems limit","Missing required fields (row_id, site_group, date, valid_items, total_items) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null or out-of-range numeric values for valid_items/total_items may cause ordering issues","Selecting an invalid field enum value (not 'valid_items' or 'total_items') causes a request error","Payment failure via x402 protocol prevents processing"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and numeric row ordering on structured observation data with valid_items and total_items fields, and want two bundled analytical reports for a single low-cost call ($0.01 USDC). Prefer it over heavier analytics pipelines when you have ≤200 rows, need no external lookups or predictions, and want fast deterministic transformation without side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:03.161Z","isFirstParty":false,"canonicalSlug":"structured-data-observations-string-normalisation-numeric-row-ordering-0e2ae6b2"}