{"uid":"cap_FpgOnKgYu9fp_3OdSa4oP","slug":"research-samples-string-normalisation-and-numeric-row-ordering-e2f767b2","name":"Research Samples String Normalisation and Numeric Row Ordering","description":"Research samples — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied research samples records (sample_value, sample_weight). 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-education-07-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","sample_value":10,"sample_weight":1},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","sample_value":20,"sample_weight":2},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","sample_value":15,"sample_weight":3},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","sample_value":30,"sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"}}},"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_tGsnwJU2lNHjYv-NzVaGC","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 sorts rows numerically for supplied research sample records (sample_value, sample_weight), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 research sample rows — row-1 in group-a on 2026-10-01 with sample_value 10 and sample_weight 1, row-2 in group-b on 2026-10-02 with sample_value 20 and sample_weight 2, row-3 in group-a on 2026-10-03 with sample_value 15 and sample_weight 3, and row-4 in group-b on 2026-10-04 with sample_value 30 and sample_weight 4 — can you normalize the strings and sort the rows by sample_value, giving me both analytical reports?","exampleUseCases":[{"title":"Rank student course group samples","prompt":"I have 50 research rows across two course groups with sample_value and sample_weight scores collected weekly — can you normalize the group name strings and order all the rows numerically by sample_value, producing both analytical reports?"},{"title":"Order survey weight data for review","prompt":"Here are 120 survey sample records with row IDs, dates, and sample_weight values — please normalize the string fields and sort the rows by sample_weight so I can review them in numeric order, and give me the two included reports."},{"title":"Clean and sort small pilot dataset","prompt":"I collected 8 research samples for a pilot study — row-1 through row-8, all in group-a, with sample_values ranging from 5 to 80 — please normalize the strings and give me numeric row ordering by sample_value with both analytical reports."}],"resultDescription":"Two analytical reports covering string-normalized course_group labels and numerically ordered rows for the chosen field (sample_value or sample_weight), applied to up to 200 supplied input rows. No live lookup or external data is used; analysis is performed locally on the provided records.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, course_group, date, sample_value, sample_weight) causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","sample_value or sample_weight outside allowed range (-1e12 to 1e12) causes validation error","Invalid field selector (not 'sample_value' or 'sample_weight') causes enum validation failure","Payment of 0.01 USDC not supplied or x402 protocol not followed — request not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 research sample rows with sample_value and sample_weight fields and need both string normalization of categorical labels (e.g. course_group) and numeric ordering of rows by a chosen field, delivered as two bundled local analytical reports at minimal cost. It is not appropriate for live data lookups, predictions, external enrichment, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:50.605Z","isFirstParty":false,"canonicalSlug":"research-samples-string-normalisation-and-numeric-row-ordering-e2f767b2"}