{"uid":"cap_8-ANk88RViP1EhiUNV_EH","slug":"time-series-completeness-numeric-interval-filter-base-100-series-b2c764d2","name":"Time Series Completeness — Numeric Interval Filter + Base-100 Series","description":"Time series completeness — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series for supplied time series completeness records (observed_points, expected_points). 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-16-128?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","observed_points","expected_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"expected_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"},"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_z5ZqSozdBvd8F8P0dLJXM","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":"Filters time series completeness records by a numeric interval and generates a Base-100 indexed series for up to 200 rows of observed vs. expected data points, producing two independent analytical reports.","exampleAgentPrompt":"Run a completeness analysis on my time series data — filter the observed_points field to values between 5 and 50, use row index 0 as the base, and here are my 4 rows: row-1 on 2026-10-01 in group-a with 10 observed and 1 expected, row-2 on 2026-10-02 in group-b with 20 observed and 2 expected, row-3 on 2026-10-03 in group-a with 15 observed and 3 expected, row-4 on 2026-10-04 in group-b with 30 observed and 4 expected — give me both the interval-filtered report and the Base-100 series.","exampleUseCases":[{"title":"Daily sensor data completeness check","prompt":"I have daily sensor readings across two device groups for October — here are 10 rows with observed and expected measurement counts. Filter to rows where observed_points is between 0 and 100, use the first row as the base index, and give me both the interval filter report and the Base-100 series so I can see which days had gaps."},{"title":"IoT pipeline monitoring across groups","prompt":"Can you analyze completeness of my IoT data pipeline? I'll give you 50 rows with dataset_group, date, observed_points, and expected_points. Filter the expected_points field to values between 100 and 500, anchor to base index 0, and return both the numeric interval report and the normalized Base-100 series."},{"title":"Data warehouse ingestion audit","prompt":"I need to audit my data warehouse ingestion completeness for Q3 — I have 120 rows of daily observed vs expected record counts split by group. Filter observed_points between 1000 and 50000, set the base at row index 5, and produce both completeness reports including the Base-100 indexed trend."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric interval-filtered view of the supplied completeness records showing rows where the selected field (observed_points or expected_points) falls within the specified minimum/maximum range, and (2) a Base-100 indexed series anchored at the specified base_index row, normalizing values relative to that baseline. Both reports are computed locally without external lookups, covering up to 200 input rows.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Date strings not matching YYYY-MM-DD pattern — validation error","observed_points or expected_points outside allowed numeric bounds (±1,000,000,000,000) — validation error","base_index out of range (0–199) or exceeding actual row count — error or unexpected baseline","minimum greater than maximum — may return empty filtered set","Missing required fields (row_id, date, observed_points, expected_points) per row — schema validation failure","Payment of 0.01 USDC not completed via x402 — request blocked"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of time series completeness data (observed vs. expected counts) and need both a numeric interval filter and a Base-100 indexed series in a single paid call. It is ideal for offline/local analytical computation where no live data lookup, external enrichment, or prediction is needed — just deterministic statistical transformation of supplied rows. Prefer it over general-purpose analytics when you specifically need the paired interval-filter + base-indexed output in one shot at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.583Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-numeric-interval-filter-base-100-series-b2c764d2"}