{"uid":"cap_Xfpm6Li1cFH_1af1sXcv6","slug":"sampling-observations-adjacent-row-changes-base-100-series-e2889c6c","name":"Sampling Observations — Adjacent Row Changes + Base-100 Series","description":"Sampling observations — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 series 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-15-155?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_36LhKV9aO_wF1_bKyg-nE","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":"Computes adjacent row-to-row changes and a base-100 indexed series for up to 200 sampling observation records with sample values and weights.","exampleAgentPrompt":"I have 4 sampling observations with dates, values, and weights — can you compute the adjacent row-to-row changes and a base-100 index series starting from row 0 for the sample_value field? The rows are: 2026-10-01 row-1 group-a value=10 weight=1, 2026-10-02 row-2 group-b value=20 weight=2, 2026-10-03 row-3 group-a value=15 weight=3, 2026-10-04 row-4 group-b value=30 weight=4.","exampleUseCases":[{"title":"Tracking survey sample drift over time","prompt":"I have weekly survey sample readings for two groups over the past 8 weeks — can you show me the week-over-week changes and a base-100 index starting from week 1 for the sample_value field so I can see how each group has drifted relative to the baseline?"},{"title":"Indexing product quality samples to reference batch","prompt":"I've got 50 quality-control sample measurements across production batches with their weights. Can you build an adjacent-change report and a base-100 series anchored to batch 0 (the reference batch) so I can track how quality is evolving relative to that reference?"},{"title":"Normalizing clinical trial sample observations","prompt":"We collected 120 patient sample observations across two trial arms on different dates. Please compute the row-by-row changes and a base-100 index series starting from the first row for sample_weight so we can compare how weights evolved relative to the starting point."}],"resultDescription":"Returns two analytical reports: (1) adjacent row changes showing the difference between each consecutive pair of rows for the selected field, and (2) a base-100 indexed series where each value is expressed relative to the row at base_index set to 100. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — validation error","base_index out of range (0–199) or exceeds the number of rows supplied","date fields not matching YYYY-MM-DD pattern — schema validation failure","sample_value or sample_weight outside ±1,000,000,000,000 range","row_id or dataset_group exceeding 80-character limit","field enum value not one of 'sample_value' or 'sample_weight' — rejected","Payment of 0.01 USDC not provided — 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tabular sampling observation records and need both adjacent period-over-period change analysis and a base-100 normalization index in a single low-cost API call. It is ideal for time-ordered survey, quality-control, or scientific sample data where you want to understand incremental movement and relative scaling from a reference point simultaneously. Prefer this over general-purpose analytics tools when you want a lightweight, fixed-price ($0.01 USDC) dual-report output without setting up a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:49.706Z","isFirstParty":false,"canonicalSlug":"sampling-observations-adjacent-row-changes-base-100-series-e2889c6c"}