{"uid":"cap_xa1J4p98wVWPFsLjMm84N","slug":"feature-availability-analytics-numeric-distribution-base-100-series-734c95b0","name":"Feature Availability Analytics — Numeric Distribution & Base-100 Series","description":"Feature availability — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series for supplied feature availability records (populated_features, expected_features). 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-10-078?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"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_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_features","expected_features"],"type":"string","default":"populated_features"},"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_oWSc5pxUp5ZcDoAlOQl8m","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 numeric distribution report and a base-100 indexed time series for supplied feature availability data (populated_features vs expected_features) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and base-100 series analysis on my feature availability data — I have 50 rows with populated_features and expected_features per date and dataset group, and I want the series indexed from row 0 on the populated_features field?","exampleUseCases":[{"title":"Feature fill rate trend over time","prompt":"I have daily records for two dataset groups over the past 3 months showing how many features were populated vs expected. Can you compute a numeric distribution and base-100 series on populated_features, starting the index at row 0?"},{"title":"Cross-group feature completeness audit","prompt":"I want to compare feature availability across my 'group-a' and 'group-b' datasets. Here are 120 rows with expected_features and populated_features — run the numeric distribution and base-100 index on the expected_features field, indexed from the first row."},{"title":"ML pipeline feature coverage report","prompt":"Before I train my model, I need to check feature coverage. I have up to 200 date-stamped rows with populated and expected feature counts across several pipeline stages — can you give me the numeric distribution and a base-100 index series for populated_features starting from position 0?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summarizing the statistical spread of the selected field (populated_features or expected_features) across the submitted rows, and (2) a base-100 indexed time series showing relative movement from the chosen base_index row — both computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, populated_features, expected_features) cause validation errors","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","base_index out of range (>=number of rows) causes an error","null values in both populated_features and expected_features may degrade or skip distribution calculations","Payment of 0.01 USDC not attached causes 402 payment required response"],"whenToPreferThis":"Use this endpoint when you have tabular feature availability data (populated vs expected feature counts per date and group) and need both a statistical distribution and a base-100 indexed trend series in a single low-cost call. Prefer this over general-purpose analytics tools when you want a lightweight, deterministic, offline computation with no data leaving your supplied payload to external sources, and when your dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:26.928Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-base-100-series-734c95b0"}