{"uid":"cap_BDdPw4cAWzzibeVRbmXFe","slug":"news-archive-completeness-string-normalisation-numeric-distribution-a647bb0d","name":"News Archive Completeness — String Normalisation + Numeric Distribution","description":"News archive completeness — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-23-022?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},"field":{"enum":["indexed_items","expected_items"],"type":"string","default":"indexed_items"}}},"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_uMXsfpSy7aIXjdlcfSyGn","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":"Runs string normalisation and numeric distribution analysis on up to 200 rows of news archive completeness records (indexed_items, expected_items), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and numeric distribution analysis on my news archive completeness data? I have 4 rows with fields row_id, channel_group, date, indexed_items, and expected_items — analyze the indexed_items field and give me both reports.","exampleUseCases":[{"title":"News pipeline coverage audit","prompt":"I have daily news archive records for two channel groups over the past week — each row has a date, channel_group, indexed_items, and expected_items. Can you normalize the string fields and show me the numeric distribution of indexed_items across all rows?"},{"title":"Channel group completeness benchmarking","prompt":"I want to compare how complete our news indexing is across different channel groups. Here are 50 rows with row_id, channel_group, date, indexed_items, and expected_items — please run the string normalisation and numeric distribution reports on expected_items."},{"title":"Data quality check on archive ingestion logs","prompt":"We have an archive ingestion log with up to 150 rows including indexed_items and expected_items counts per date and channel group. Can you run both the string normalisation and numeric distribution analyses so I can spot any anomalies or gaps?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report covering the textual fields in the submitted rows, and (2) a numeric distribution report covering the selected numeric field (indexed_items or expected_items), including statistical spread, counts, and distribution characteristics — all computed locally without external lookups.","failureModes":["Exceeding 200 rows limit returns a validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, indexed_items, expected_items) results in a validation error","Numeric values outside the allowed range (±1,000,000,000,000) are rejected","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis of news archive completeness records — specifically string normalisation combined with numeric distribution — on batches up to 200 rows. It is ideal when you do not need live data lookups, predictions, or external data enrichment, and want two bundled analytical reports at low cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:34.870Z","isFirstParty":false,"canonicalSlug":"news-archive-completeness-string-normalisation-numeric-distribution-a647bb0d"}