{"uid":"cap_3AD-_9KeJsdsUa3xAiFOS","slug":"sampling-observations-numeric-distribution-adjacent-row-changes-5a4dadb1","name":"Sampling Observations — Numeric Distribution + Adjacent Row Changes","description":"Sampling observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied sampling observations 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-analytics-15-077?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_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},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","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_iPfQcNapmeRoRIu5FDwkx","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":"Analyzes up to 200 sampling observation rows (sample_value/sample_weight) producing two local analytical reports: a numeric distribution summary and an adjacent row change analysis.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row change analysis on my sampling observations? I have 4 rows — row-1 on 2026-10-01 in group-a with sample_value 10 and weight 1, row-2 on 2026-10-02 in group-b with value 20 and weight 2, row-3 on 2026-10-03 in group-a with value 15 and weight 3, and row-4 on 2026-10-04 in group-b with value 30 and weight 4 — analyze the sample_value field.","exampleUseCases":[{"title":"Lab measurement variability profiling","prompt":"I have 50 daily lab measurements with sample IDs, dates, measured values, and quality weights — can you give me a numeric distribution breakdown and show me how each reading changed from the one before it? Use the measured value field for both reports."},{"title":"Sensor reading step-change detection","prompt":"I've got a batch of 120 sensor readings organized by sensor group, each with a timestamp, a raw reading, and a confidence weight. Can you analyze the sample_value field to show me the overall numeric distribution and flag how the readings shift between consecutive rows?"},{"title":"Survey response score analysis","prompt":"Here are 80 survey response rows with respondent IDs, collection dates, group labels, score values, and response weights. Please run the numeric distribution and adjacent row changes reports on the score values so I can see the spread and identify any big jumps between responses."}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution report covering statistical spread metrics (e.g. min, max, mean, percentiles, histogram buckets) for the chosen field across all supplied rows, and (2) an adjacent row changes report showing the difference between each consecutive pair of rows ordered as supplied, highlighting step changes in the selected field. All computation is performed locally with no external data lookups.","failureModes":["Input array is empty or missing (minItems:1 violated) — validation error returned","More than 200 rows supplied (maxItems:200 violated) — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","sample_value or sample_weight outside ±1,000,000,000,000 range — validation error","field enum value not 'sample_value' or 'sample_weight' — validation error","Payment of 0.01 USDC not completed via x402 protocol — 402 response, no report generated"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution summary and consecutive row-change analysis on sampling observation data (up to 200 rows) in a single $0.01 call. It is ideal when your data already includes sample weights and you want two complementary statistical perspectives — spread and sequential delta — without any external API calls, live lookups, or professional assessments. Prefer it over single-report endpoints when you need both distribution and adjacency-change insights bundled cost-efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:50.447Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-distribution-adjacent-row-changes-5a4dadb1"}