{"uid":"cap_Xoc8XbrmGcr_-MbDqy4Ab","slug":"sampling-observations-base-100-series-and-iqr-outlier-flags-8d9f3bd7","name":"Sampling Observations Base-100 Series and IQR Outlier Flags","description":"Sampling observations — Base-100 series + IQR outlier flags: Base-100 series + IQR outlier flags 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-15-164?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_Uwmq75g29lfYuB82y1k20","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 a base-100 indexed time series and IQR-based outlier flags for up to 200 rows of supplied sampling observation data (sample_value, sample_weight).","exampleAgentPrompt":"Can you run a base-100 index and IQR outlier detection on my sample_value field for these 4 rows — row-1 on 2026-10-01 with value 10 and weight 1 (group-a), row-2 on 2026-10-02 with value 20 and weight 2 (group-b), row-3 on 2026-10-03 with value 15 and weight 3 (group-a), row-4 on 2026-10-04 with value 30 and weight 4 (group-b) — using row index 0 as the base?","exampleUseCases":[{"title":"Rebasing economic survey samples","prompt":"I have 50 monthly survey readings with sample values and weights by region — can you rebase them to a base-100 series starting from the first row and flag any IQR outliers in the sample_value field?"},{"title":"Quality control on lab measurement data","prompt":"I've got 120 lab sample records across three dataset groups with dates, values, and weights — please compute the base-100 index and mark any outliers using the IQR method on the sample_weight field, using row index 0 as the baseline."},{"title":"Detecting anomalies in panel data","prompt":"Can you take my 80 panel observation rows — each with a row ID, group label, date, sample value, and weight — and produce both a base-100 normalized series and IQR outlier flags for the sample_value field starting from base index 0?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a base-100 indexed series showing each row's value relative to the chosen baseline row, and (2) IQR outlier flags identifying which rows fall outside the interquartile range. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","row_id or dataset_group exceeds 80 character maxLength — validation error","date field does not match YYYY-MM-DD pattern — validation error","base_index out of range 0–199 or exceeds row count — computation error","sample_value or sample_weight outside ±1,000,000,000,000 bounds — validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row — error"],"whenToPreferThis":"Choose this endpoint when you have raw sampling observation data (with values and weights) and need both a base-100 normalized trend series and IQR-based statistical outlier flags in a single call, without any need for external data enrichment or prediction. Ideal for up to 200 rows of panel or time-series data where you want purely local, deterministic analytical output at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.600Z","isFirstParty":false,"canonicalSlug":"sampling-observations-base-100-series-and-iqr-outlier-flags-8d9f3bd7"}