{"uid":"cap_yFzmJ1hPGaxc90xwGJpXo","slug":"sensor-calibration-measurements-numeric-row-ordering-edb8e5d8","name":"Sensor Calibration Measurements – Numeric Row Ordering","description":"Sensor calibration measurements - Numeric row ordering: Numeric row ordering for Sensor calibration measurements. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded numeric row ordering report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-sensor-calibration-sort?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","device","date","reference_value","measured_value"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"device":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"measured_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reference_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","device":"group-a","row_id":"row-1","measured_value":1,"reference_value":10},{"date":"2026-10-02","device":"group-b","row_id":"row-2","measured_value":2,"reference_value":20},{"date":"2026-10-03","device":"group-a","row_id":"row-3","measured_value":3,"reference_value":15},{"date":"2026-10-04","device":"group-b","row_id":"row-4","measured_value":4,"reference_value":30}],"maxItems":200,"minItems":1},"field":{"enum":["reference_value","measured_value"],"type":"string","default":"reference_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_SOQkJmFpl3Z7hm8iJERRi","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":"Sorts up to 200 sensor calibration measurement records by a chosen numeric field (reference_value or measured_value) and returns a ranked row ordering report.","exampleAgentPrompt":"Sort these 4 sensor calibration records by reference_value: row-1 (device group-a, 2026-10-01, measured=1, reference=10), row-2 (group-b, 2026-10-02, measured=2, reference=20), row-3 (group-a, 2026-10-03, measured=3, reference=15), row-4 (group-b, 2026-10-04, measured=4, reference=30) — give me a numeric row ordering report.","exampleUseCases":[{"title":"Rank sensors by reference standard","prompt":"I have 50 calibration measurements from our lab — can you sort them all by reference_value so I can see which devices were tested against the highest reference standards? Here are the rows: device A on 2026-01-10 ref=100 measured=98, device B on 2026-01-11 ref=200 measured=195, device C on 2026-01-12 ref=150 measured=148 …"},{"title":"Identify highest measured output","prompt":"Sort these calibration records by measured_value so I can quickly see which sensor produced the largest reading this quarter — I've got about 80 rows with device IDs, dates, and both reference and measured values."},{"title":"Quality check calibration batch ordering","prompt":"We just ran a calibration batch for 30 sensors across two device groups and I need the rows ordered numerically by reference_value to verify our QA sequence was correct — can you produce a numeric row ordering report from this data?"}],"resultDescription":"A bounded numeric row ordering report listing the supplied calibration records ranked in ascending or descending order by the chosen field (reference_value or measured_value), preserving all original row fields (row_id, device, date, reference_value, measured_value) alongside their assigned rank positions.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes a schema validation failure","Unrecognized field value (not 'reference_value' or 'measured_value') is rejected by enum constraint","Numeric values outside ±1,000,000,000,000 fail schema validation","row_id missing or empty string fails minLength constraint","Payment not included or insufficient USDC causes x402 payment-required response"],"whenToPreferThis":"Choose this endpoint when you have a dataset of sensor calibration records (up to 200 rows) and need a simple, local numeric sort/ranking by either the reference or measured value field, without requiring any forecasting, enrichment, or external data. It is ideal for quick QA ordering, sequence verification, or identifying extremes in calibration batches at a low flat cost of $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:44:51.808Z","isFirstParty":false,"canonicalSlug":"sensor-calibration-measurements-numeric-row-ordering-edb8e5d8"}