{"uid":"cap_8G_cPEZZ58n-RoeBIOPK7","slug":"newsletter-observations-record-quality-audit-daily-sum-series-c14fb52f","name":"Newsletter Observations — Record Quality Audit + Daily Sum Series","description":"Newsletter observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied newsletter observations records (delivered_messages, open_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-08-009?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","delivered_messages","open_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"open_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"channel_group":{"type":"string","default":"","maxLength":80},"delivered_messages":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","open_count":1,"channel_group":"group-a","delivered_messages":10},{"date":"2026-10-02","row_id":"row-2","open_count":2,"channel_group":"group-b","delivered_messages":20},{"date":"2026-10-03","row_id":"row-3","open_count":3,"channel_group":"group-a","delivered_messages":15},{"date":"2026-10-04","row_id":"row-4","open_count":4,"channel_group":"group-b","delivered_messages":30}],"maxItems":200,"minItems":1},"field":{"enum":["delivered_messages","open_count"],"type":"string","default":"delivered_messages"}}},"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__V1X6MNMlzXi9LDqdafDR","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 two analytical reports on newsletter observation data: a record quality audit and a daily sum series for delivered_messages or open_count, across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my newsletter data? I have rows with delivered_messages and open_count for channel groups like 'subscribers' and 'trial-users' across October 2026 — use delivered_messages as the field and check up to 200 rows.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"Before I start analyzing our newsletter campaign results, can you audit these 150 rows of delivered_messages and open_count data for quality issues and also give me the daily sum totals for delivered_messages? The rows cover channel groups 'enterprise' and 'smb' from September 2026."},{"title":"Daily delivery totals for campaign review","prompt":"I need a daily sum series for our open_count across these newsletter observation records — we have about 80 rows split between channel groups 'weekly-digest' and 'product-updates' from Q3 2026. Also run the quality audit while you're at it."},{"title":"Spotting anomalies in subscriber engagement data","prompt":"Can you run both the record quality audit and daily sum series reports on this set of newsletter stats? I want to catch any bad data and see how delivered_messages totals look day by day — I've got around 200 rows with channel groups 'paid' and 'free' from August 2026."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed records across the supplied rows; and (2) a daily sum series aggregating the selected field (delivered_messages or open_count) by date. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, channel_group, date, delivered_messages, open_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Invalid field enum value (not delivered_messages or open_count) causes error","Empty rows array rejected (minItems: 1)","Numeric values outside allowed range cause schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have newsletter observation data (delivered_messages, open_count) in up to 200 rows and need both a data quality audit and a daily aggregated sum series in a single low-cost call. Ideal for pre-analysis validation of email marketing metrics or quick daily rollups without building a pipeline. Not suitable for real-time lookups, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:46.468Z","isFirstParty":false,"canonicalSlug":"newsletter-observations-record-quality-audit-daily-sum-series-c14fb52f"}