{"uid":"cap_aAqR-glwu8Yxk7ntUaqpJ","slug":"sampling-observations-numeric-interval-filter-base-100-series-eea4c9de","name":"Sampling Observations — Numeric Interval Filter + Base-100 Series","description":"Sampling observations — Numeric interval filter + Base-100 series: Numeric interval filter + 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-15-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"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_Xw-hKuc3JnlHU75C6n5Us","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":"Applies a numeric interval filter and computes a base-100 index series on up to 200 supplied sampling observation rows (sample_value, sample_weight), returning two analytical reports.","exampleAgentPrompt":"I have 150 sampling observation rows with sample_value and sample_weight fields — can you filter the sample_value field to only include values between 0 and 500, and also produce a base-100 index series anchored at row index 0? I need both reports.","exampleUseCases":[{"title":"Survey response normalization","prompt":"I've got 80 survey response rows with a sample_value score and a weighting field. Can you filter out any sample_value outside the range 10 to 90 and then rebase the series to 100 starting from the first row so I can compare trends?"},{"title":"Economic indicator rebasing","prompt":"I have 200 monthly economic sample observations grouped by region. Please filter sample_value between 50 and 2000 and give me a base-100 index series anchored at row index 12 so I can see growth relative to that baseline year."},{"title":"Quality control range filtering","prompt":"Run two analytics reports on my 45 production sample records: first filter the sample_weight field to values between 0.5 and 10, and second give me a base-100 index series starting at row 0. I need both outputs in one call."}],"resultDescription":"Two analytical reports for the supplied rows: (1) a numeric interval-filtered view of the selected field (sample_value or sample_weight) retaining only rows within the specified minimum/maximum range, and (2) a base-100 index series computed relative to the specified base_index row. Both reports are generated locally without external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","base_index out of bounds (0–199) relative to submitted row count","sample_value or sample_weight values outside ±1,000,000,000,000 — schema rejection","Invalid date format (must be YYYY-MM-DD) — pattern validation failure","Missing required row fields (row_id, dataset_group, date, sample_value, sample_weight) — schema error","All rows filtered out by interval — empty filtered result set","Payment not completed — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of pre-supplied sampling observation data and need both a numeric interval filter and a base-100 normalization in a single paid call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external integration is needed — just local statistical computation on provided records. Prefer it over general analytics APIs when you want two distinct reports (interval filter + index series) delivered together at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:14.815Z","isFirstParty":false,"canonicalSlug":"sampling-observations-numeric-interval-filter-base-100-series-eea4c9de"}