{"uid":"cap_NvYW4hY1bvPzVKZdb1tD9","slug":"data-collection-completeness-numeric-interval-filter-daily-sum-series-85f4c16e","name":"Data Collection Completeness — Numeric Interval Filter + Daily Sum Series","description":"Data collection completeness — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series for supplied data collection completeness records (observed_values, expected_values). 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-education-22-125?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","course_group","date","observed_values","expected_values"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"course_group":{"type":"string","default":"","maxLength":80},"expected_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_values":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","course_group":"group-a","expected_values":1,"observed_values":10},{"date":"2026-10-02","row_id":"row-2","course_group":"group-b","expected_values":2,"observed_values":20},{"date":"2026-10-03","row_id":"row-3","course_group":"group-a","expected_values":3,"observed_values":15},{"date":"2026-10-04","row_id":"row-4","course_group":"group-b","expected_values":4,"observed_values":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_values","expected_values"],"type":"string","default":"observed_values"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_N9pZhVzmFAJLTUNWHceGp","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 data collection completeness records by a numeric interval and computes a daily sum time series, delivering two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Run a numeric interval filter on my data collection completeness records keeping observed_values between 0 and 100, then compute the daily sum series — I have 4 rows across course groups group-a and group-b from October 2026.","exampleUseCases":[{"title":"Daily completeness check for course groups","prompt":"I have completeness records for my e-learning courses — each row has a date, course group, and observed vs expected values. Filter the observed_values between 5 and 50, then give me a daily sum series so I can see which days had the most collected data across group-a and group-b."},{"title":"Interval-filtered expected vs observed audit","prompt":"Can you run both a numeric interval filter and a daily sum series on my data collection completeness dataset? I want to focus on expected_values between 1 and 200 for my 150 rows of survey data collected from October 2026."},{"title":"Completeness trend analysis by date","prompt":"I need to understand how complete our data collection has been day-by-day. Use my 80 rows of completeness records with observed_values — filter to rows where the value is between 10 and 500, then show me the daily totals so I can spot gaps."}],"resultDescription":"Two independent analytical reports: (1) a numeric interval filter report showing which rows fall within the specified min/max range for the chosen field, and (2) a daily sum series aggregating values by date — both computed locally on the supplied completeness data without any external lookups.","failureModes":["Rows array empty or missing — returns validation error","date field does not match YYYY-MM-DD pattern — schema validation failure","observed_values or expected_values outside allowed numeric range (±1 trillion) — rejected","More than 200 rows submitted — request rejected at maxItems limit","minimum greater than maximum — may return empty filter results or error","Payment not provided or insufficient (requires 0.01 USDC via x402) — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical operations — numeric range filtering and daily sum aggregation — on data collection completeness records with observed/expected value pairs, and want both delivered in a single low-cost call ($0.01 USDC). It is purely local computation with no external data lookups, making it deterministic and fast. Best suited for education or monitoring contexts where you have up to 200 timestamped rows tagged by course group and want to understand both which records fall within a numeric band and how daily totals trend over time.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:00.924Z","isFirstParty":false,"canonicalSlug":"data-collection-completeness-numeric-interval-filter-daily-sum-series-85f4c16e"}