{"uid":"cap_FZJDRHF-ZZXB7Q5MSn0Jt","slug":"source-diversity-numeric-distribution-and-row-ordering-analyzer-d44eecd1","name":"Source Diversity Numeric Distribution and Row Ordering Analyzer","description":"Source diversity — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering for supplied source diversity records (source_count, outlet_count). 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-news-17-073?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","source_count","outlet_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"outlet_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"source_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","outlet_count":1,"source_count":10,"channel_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","outlet_count":2,"source_count":20,"channel_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","outlet_count":3,"source_count":15,"channel_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","outlet_count":4,"source_count":30,"channel_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_count","outlet_count"],"type":"string","default":"source_count"}}},"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_UIcKe1sZiaF6l0ZCzBYFA","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 numeric distribution statistics and row ordering for source_count and outlet_count fields across supplied source diversity records, delivering two analytical reports per call.","exampleAgentPrompt":"Can you run both a numeric distribution and a row ordering analysis on my source diversity data? I have 4 rows with channel groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the source_count field.","exampleUseCases":[{"title":"Media diversity audit by channel group","prompt":"I have a dataset of news records grouped by channel — 'national', 'regional', and 'local' — with source counts and outlet counts for each day in Q3. Can you analyze the numeric distribution and row ordering of source_count across all 150 rows so I can see how evenly sources are spread?"},{"title":"Outlet count ranking for editorial review","prompt":"I need to rank my 80 news publisher records from highest to lowest outlet_count — can you run the numeric distribution and row ordering reports on outlet_count so I know which channel groups dominate coverage?"},{"title":"Daily source diversity trend analysis","prompt":"I've collected 200 rows of daily source diversity data from October, each tagged with a date and channel_group. Please run the distribution and row ordering analysis on source_count so I can spot which days had unusually high or low source diversity."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary for the selected field (source_count or outlet_count) showing statistical spread across up to 200 rows, and (2) a numeric row ordering report ranking rows by the selected field value, both computed locally without any external lookup.","failureModes":["Missing required fields (row_id, channel_group, date, source_count, outlet_count) cause validation errors","More than 200 rows submitted exceeds the maximum and will be rejected","Invalid date format (not YYYY-MM-DD) will fail schema validation","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Invalid field selector (not 'source_count' or 'outlet_count') causes an error","Empty rows array (minItems: 1 not met) will fail"],"whenToPreferThis":"Choose this endpoint when you have already collected source diversity data (source_count and outlet_count per row) and need both a distribution summary and a ranked ordering in a single low-cost call ($0.01 USDC for both reports). Ideal for media analysts, journalism researchers, or news aggregation pipelines that need offline statistical analysis without any live data lookup or prediction. Best suited for batch sizes up to 200 rows where two complementary numeric reports are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:33.450Z","isFirstParty":false,"canonicalSlug":"source-diversity-numeric-distribution-and-row-ordering-analyzer-d44eecd1"}