{"uid":"cap_gMOwGZOh65VqiEv1NVGAR","slug":"data-collection-completeness-string-normalisation-numeric-row-ordering-3abeec54","name":"Data Collection Completeness — String Normalisation + Numeric Row Ordering","description":"Data collection completeness — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied data collection completeness records (observed_values, expected_values). 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-22-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","observed_values","expected_values"],"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},"expected_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","expected_values":1,"observed_values":10},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","expected_values":2,"observed_values":20},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","expected_values":3,"observed_values":15},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","expected_values":4,"observed_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_values","expected_values"],"type":"string","default":"observed_values"}}},"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_LKt57EmOoXuL_04t9Yf9Q","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 sorts rows numerically for up to 200 data-collection completeness records, producing two analytical reports on observed vs. expected values.","exampleAgentPrompt":"Can you normalise the strings and sort the rows numerically for my data collection completeness records? I have 4 rows — row-1 for group-a on 2026-10-01 with observed 10 and expected 1, row-2 for group-b on 2026-10-02 with observed 20 and expected 2, row-3 for group-a on 2026-10-03 with observed 15 and expected 3, and row-4 for group-b on 2026-10-04 with observed 30 and expected 4 — analyse the observed_values field and give me the two completeness reports.","exampleUseCases":[{"title":"Course group completeness audit","prompt":"I need to audit my course group data — can you normalise the strings and sort numerically for these completeness records: row-1, group-a, 2026-11-01, observed 50, expected 45; row-2, group-b, 2026-11-02, observed 30, expected 40; row-3, group-a, 2026-11-03, observed 60, expected 55? Analyse the observed_values field and give me both completeness reports."},{"title":"Expected vs observed value ordering","prompt":"I have a dataset of 5 completeness rows for my education project and I want to see them sorted numerically by expected_values with string normalisation applied — rows are row-A through row-E for groups alpha and beta from 2026-09-01 to 2026-09-05, with expected values 10, 20, 5, 15, 25 and observed values 9, 22, 4, 14, 26. Can you run the two-report analysis for me?"},{"title":"Monthly data collection review","prompt":"Can you take my monthly data collection completeness records — 8 rows across course groups x1 and x2 from 2026-10-01 to 2026-10-08, with observed and expected values ranging from 100 to 800 — normalise the strings, order them numerically, and produce the two analytical completeness reports on the observed_values field?"}],"resultDescription":"Returns two independent analytical reports covering string-normalised and numerically ordered representations of the supplied completeness records, comparing observed_values against expected_values for up to 200 rows across course groups and dates — all computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected, maxItems constraint violated","Missing required fields (row_id, date, observed_values, expected_values) — validation error","Date not in YYYY-MM-DD format — pattern mismatch error","Numeric values outside ±1,000,000,000,000 range — schema rejection","Invalid field enum value (not 'observed_values' or 'expected_values') — validation error","Empty rows array — minItems constraint violated"],"whenToPreferThis":"Choose this endpoint when you have up to 200 data-collection completeness records with observed and expected numeric values and need both string normalisation and numeric row ordering in a single lightweight call for $0.01 USDC. It is ideal for education or course-group datasets where you want two formatted analytical reports without any external lookup, prediction, or live data dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:09.932Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-string-normalisation-numeric-row-ordering-3abeec54"}