{"uid":"cap_47x2er5FbV5N_gOR8p0_3","slug":"source-attribution-analytics-exact-row-deduplication-trailing-mean-cd4e3486","name":"Source Attribution Analytics — Exact Row Deduplication + Trailing Mean Series","description":"Source attribution — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series for supplied source attribution records (cited_sources, verified_links). 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-02-045?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","cited_sources","verified_links"],"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},"cited_sources":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","cited_sources":10,"verified_links":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","cited_sources":20,"verified_links":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","cited_sources":15,"verified_links":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","cited_sources":30,"verified_links":4}],"maxItems":200,"minItems":1},"field":{"enum":["cited_sources","verified_links"],"type":"string","default":"cited_sources"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_cnxLsfPkt7GFFM7xpfXd7","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":"Deduplicates source attribution records by exact row match and computes a trailing mean time series over cited_sources or verified_links metrics for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate my source attribution records and compute a trailing mean series with a window of 3 for cited_sources? I have rows with fields row_id, channel_group, date, cited_sources, and verified_links — up to 50 rows across groups like 'news-a' and 'news-b'.","exampleUseCases":[{"title":"News channel citation deduplication","prompt":"I have 80 rows of news source attribution data with row IDs, dates, channel groups, cited_sources counts, and verified_links counts — can you deduplicate the exact duplicate rows and then compute a trailing mean series with a window of 4 for cited_sources?"},{"title":"Verified links rolling average audit","prompt":"Run a deduplication check and a trailing mean analysis with window size 5 on verified_links for my source attribution records — I have about 120 rows across channel groups like 'editorial' and 'syndicated', each with a date and row_id."},{"title":"Multi-channel attribution trend analysis","prompt":"I want to clean up my attribution dataset by removing exact duplicate rows and then see a rolling 7-day trailing mean for cited_sources across my channel groups — my dataset has around 150 rows dated from 2025-01-01 onward with row IDs and channel groups like 'broadcast' and 'digital'."}],"resultDescription":"Returns two analytical reports: (1) an exact-row deduplication report identifying and removing fully duplicate records from the supplied source attribution rows, and (2) a trailing mean time series computed over the selected field (cited_sources or verified_links) with the specified rolling window, both derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum, request rejected","Invalid date format (not YYYY-MM-DD) — schema validation error","Window size less than 2 or greater than 200 — validation error","Missing required fields (row_id, channel_group, date, cited_sources, verified_links) — schema validation error","cited_sources or verified_links values outside allowed numeric range — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 source attribution records (with cited_sources and/or verified_links metrics) and need both an exact duplicate row removal pass and a rolling/trailing mean time series in a single low-cost call. It is ideal for news, media, or content analytics pipelines that need lightweight data quality and trend analysis on supplied data without any external API calls or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:51:10.264Z","isFirstParty":false,"canonicalSlug":"source-attribution-analytics-exact-row-deduplication-trailing-mean-cd4e3486"}