{"uid":"cap_CQZshO61A96CcMZ7nrZFr","slug":"content-engagement-keyed-dataset-comparison-15840e33","name":"Content Engagement Keyed Dataset Comparison","description":"Content engagement - Keyed dataset comparison: Keyed dataset comparison for Content engagement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded keyed dataset comparison deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-compare?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","content_type","date","views","engagements"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"views":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"engagements":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"content_type":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","views":10,"row_id":"row-1","engagements":1,"content_type":"group-a"},{"date":"2026-10-02","views":20,"row_id":"row-2","engagements":2,"content_type":"group-b"},{"date":"2026-10-03","views":15,"row_id":"row-3","engagements":3,"content_type":"group-a"},{"date":"2026-10-04","views":30,"row_id":"row-4","engagements":4,"content_type":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","content_type","date","views","engagements"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"views":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"engagements":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"content_type":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","views":10,"row_id":"row-1","engagements":1,"content_type":"group-a"},{"date":"2026-10-02","views":21,"row_id":"row-2","engagements":2,"content_type":"group-b"},{"date":"2026-10-03","views":17,"row_id":"row-3","engagements":3,"content_type":"group-a"},{"date":"2026-10-04","views":33,"row_id":"row-4","engagements":4,"content_type":"group-b"}],"maxItems":200,"minItems":0}}},"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_N_yUuNHpJPIIoLgnMKttG","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":"Compares two keyed datasets of content engagement metrics (views and engagements by content type and date) row-by-row, returning numeric difference analysis and data-quality results.","exampleAgentPrompt":"Compare these two sets of content engagement data for me — my baseline dataset has rows for 'article' and 'video' content types with their daily views and engagements from last month, and I want to see how they differ from this week's numbers row by row.","exampleUseCases":[{"title":"A/B content experiment comparison","prompt":"I ran an A/B test on my blog posts last week — group-a got the old layout and group-b got the redesign. Can you compare the two engagement datasets row by row so I see which content type performed better in views and engagements?"},{"title":"Before-and-after campaign performance check","prompt":"I have my content engagement numbers from before the campaign launch and after it went live. Can you compare the two datasets and tell me where the biggest differences in views and engagements are, keyed by content type and date?"},{"title":"Quality-check duplicate analytics exports","prompt":"I accidentally exported our content analytics twice from two different tools and I need to know if the view and engagement numbers actually match between them. Can you do a keyed comparison of the two datasets to flag any discrepancies?"}],"resultDescription":"Returns a bounded comparison deliverable containing row-keyed numeric differences between the two input datasets, including delta values for views and engagements per content type and date, along with data-quality flags for missing or anomalous records. No external enrichment or forecasting is applied — all processing is local and numeric.","failureModes":["Empty or missing 'rows' array returns validation error","Row count exceeds 200 items per dataset — request rejected","Mismatched row_id keys between datasets may produce unmatched comparison entries","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null numeric values for views or engagements are accepted but may affect delta computation","Missing required fields (row_id, content_type, date, views, engagements) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need a fast, local, row-keyed numeric comparison of two content engagement datasets (up to 200 rows each) without any external API calls or enrichment. It is ideal for A/B test result diffing, before/after campaign comparisons, or validating consistency between two analytics exports. 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