{"uid":"cap_P-VsaNj-G3UPN1UiihE5-","slug":"news-archive-completeness-category-frequencies-two-measure-correlation-3f6a0813","name":"News Archive Completeness — Category Frequencies + Two-Measure Correlation","description":"News archive completeness — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied news archive completeness records (indexed_items, expected_items). 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-23-108?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","indexed_items","expected_items"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"indexed_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"expected_items":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","indexed_items":10,"expected_items":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","indexed_items":20,"expected_items":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","indexed_items":15,"expected_items":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","indexed_items":30,"expected_items":4}],"maxItems":200,"minItems":1}}},"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_AISD5IP_QU1tS89aQavuL","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":"Analyzes news archive completeness records by computing category frequencies across channel groups and calculating the correlation between indexed_items and expected_items.","exampleAgentPrompt":"Can you analyze the completeness of my news archive — I have up to 200 rows with channel groups like 'politics' and 'sports', each with an indexed_items count and an expected_items count across daily dates, and I need a category frequency report plus the correlation between indexed and expected items?","exampleUseCases":[{"title":"Audit news indexer coverage by channel","prompt":"I have daily records from my news indexer for October 2026 with channel groups like 'world-news' and 'tech', showing how many articles were indexed vs expected each day — can you give me the frequency breakdown by channel group and tell me how strongly indexed_items correlates with expected_items across all rows?"},{"title":"Detect gaps in archive completeness","prompt":"Here are 150 rows of my news archive completeness data with dates, channel groups, indexed_items, and expected_items — run a category frequency analysis and a correlation report so I can see which channel groups are underrepresented and whether indexing tracks expected volume."},{"title":"Validate news feed ingestion pipeline","prompt":"My data pipeline ingests news from several channel groups daily — I'll supply up to 200 rows of indexed vs expected item counts and I need both a frequency summary by channel group and the two-measure correlation to validate the pipeline is keeping up."}],"resultDescription":"Returns two analytical reports: (1) a category frequency report showing how often each channel_group appears across the supplied rows, and (2) a Pearson or rank correlation between the indexed_items and expected_items numeric measures — all computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, channel_group, date, indexed_items, or expected_items) causes validation error","Exceeding 200 rows returns an error or truncation","Malformed date strings not matching YYYY-MM-DD pattern rejected","Null values in both numeric measures may degrade or invalidate correlation output","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of news archive completeness data keyed by channel group and date, and you need both a categorical frequency breakdown and a numeric correlation between two measures (indexed vs expected items) in a single low-cost call. It is ideal for lightweight, offline statistical auditing without requiring external data sources or a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:43.424Z","isFirstParty":false,"canonicalSlug":"news-archive-completeness-category-frequencies-two-measure-correlation-3f6a0813"}