{"uid":"cap_lBo96uKlITSBX-Q_iIKIL","slug":"time-series-completeness-category-frequencies-equal-width-histogram-c328b83d","name":"Time Series Completeness — Category Frequencies + Equal-Width Histogram","description":"Time series completeness — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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-16-106?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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"}}},"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_bXA58O6OSYObEhcpRzonA","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":"Generates two analytical reports — category frequency counts and an equal-width histogram — for time series completeness data (observed vs. expected points) across up to 200 rows.","exampleAgentPrompt":"Analyze my time series completeness data — I have up to 50 rows with dataset groups 'sensor-A' and 'sensor-B', dates, observed_points, and expected_points — give me category frequencies by group and a 10-bin equal-width histogram on observed_points.","exampleUseCases":[{"title":"IoT sensor data completeness audit","prompt":"I have daily completeness records for two IoT sensor groups over the past month — each row has a date, group name, observed_points, and expected_points. Can you give me a category frequency breakdown by group and a 10-bin histogram on observed_points so I can see where gaps are clustering?"},{"title":"ETL pipeline coverage distribution","prompt":"Here are 120 rows of ETL pipeline completeness records with dataset_group, date, observed_points, and expected_points. Run category frequencies on the dataset groups and produce a 5-bin histogram of expected_points to understand how coverage is distributed across pipelines."},{"title":"Time series monitoring QA report","prompt":"I'm doing a QA review of our time series monitoring system. I have 80 completeness records with observed and expected data point counts across three dataset groups. Generate category frequencies and an equal-width histogram with 8 bins on observed_points so I can spot underperforming groups."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) an equal-width histogram dividing the selected numeric field (observed_points or expected_points) into up to 30 configurable bins with counts per bin. Both reports are computed locally on the supplied data, with no external lookups or predictions.","failureModes":["Fewer than 1 or more than 200 rows supplied — rejected by schema validation","Invalid date format (not YYYY-MM-DD) causes row-level schema error","bins value outside 1–30 range rejected","Null values in observed_points or expected_points may affect histogram computation","Missing required row fields (row_id, date, observed_points, expected_points) cause validation failure","Payment of 0.01 USDC not fulfilled — request blocked by x402 payment requirement"],"whenToPreferThis":"Choose this endpoint when you have raw time series completeness records (observed vs. expected point counts) and need both a categorical frequency summary and a numeric distribution histogram in a single call for up to 200 rows. It is ideal for quick descriptive analytics on completeness data without needing an external analytics platform, database, or prediction service. Prefer it over general-purpose analytics APIs when working specifically with date-keyed, group-labeled completeness metrics and you want two complementary views — categorical and numeric distribution — returned together at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:52.451Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-category-frequencies-equal-width-histogram-c328b83d"}