{"uid":"cap_K-c7EyUpMzdFneGvLiVO9","slug":"source-attribution-grouped-numeric-summary-iqr-outlier-flags-4b5e755c","name":"Source Attribution Grouped Numeric Summary + IQR Outlier Flags","description":"Source attribution — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags 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-02-094?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"}}},"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_eF-lWqs7Y5DvwG8k4ieT_","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 grouped numeric summaries and IQR-based outlier flags for source attribution records (cited_sources, verified_links) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Can you analyze my source attribution data — I have rows with channel_group, date, cited_sources, and verified_links (up to 200 rows) — and give me a grouped numeric summary plus IQR outlier flags for the cited_sources field?","exampleUseCases":[{"title":"News channel source attribution audit","prompt":"I have attribution records for two news channel groups over the past week — each row has a row_id, date, channel_group, cited_sources, and verified_links. Can you group them and give me a numeric summary plus flag any cited_sources values that are IQR outliers?"},{"title":"Verified links anomaly detection","prompt":"Here are 150 rows of source attribution data with channel_group and verified_links counts. Can you run grouped statistics on verified_links and use IQR to flag which rows look like outliers?"},{"title":"Multi-group editorial quality check","prompt":"I'm tracking cited_sources across group-a and group-b channels over the last month. Can you summarize the numeric distribution by group and highlight any rows where cited_sources fall outside the interquartile range?"}],"resultDescription":"Two analytical reports per call: (1) a grouped numeric summary breaking down the selected field (cited_sources or verified_links) by channel_group with statistics like mean, median, min, max, and count; (2) IQR-based outlier flags identifying which individual rows have values outside the interquartile range. No external lookups or predictions are made — all analysis is performed on the supplied data.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the maximum and will be rejected","Invalid date format (non-YYYY-MM-DD) fails schema validation","Missing required fields (row_id, channel_group, date) cause row rejection","Non-numeric values for cited_sources or verified_links (outside null) fail validation","Invalid field enum value (not cited_sources or verified_links) returns an error","Payment failure via x402 protocol results in no report being returned"],"whenToPreferThis":"Choose this endpoint when you have tabular source attribution records with cited_sources or verified_links counts grouped by channel categories and need both summary statistics and outlier detection in a single call. It is ideal for datasets up to 200 rows where no external data enrichment, live lookups, or predictive modeling is needed — purely local analytical computation on supplied data. Prefer this over generic statistical tools when your data specifically involves news/media source attribution with channel_group dimensions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:31.654Z","isFirstParty":false,"canonicalSlug":"source-attribution-grouped-numeric-summary-iqr-outlier-flags-4b5e755c"}