{"uid":"cap_mJ1nIhry8anWyz9-lR7vm","slug":"event-coverage-string-normalisation-two-measure-correlation-0fb89efd","name":"Event Coverage String Normalisation + Two-Measure Correlation","description":"Event coverage — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied event coverage records (covered_sessions, planned_sessions). 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-11-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","covered_sessions","planned_sessions"],"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},"covered_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"planned_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","covered_sessions":10,"planned_sessions":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","covered_sessions":20,"planned_sessions":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","covered_sessions":15,"planned_sessions":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","covered_sessions":30,"planned_sessions":4}],"maxItems":200,"minItems":1}}},"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_uFKYMrJ-I6qW5D0yKlvaU","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":"Normalises strings and computes correlation between covered_sessions and planned_sessions for up to 200 event coverage rows, producing two analytical reports.","exampleAgentPrompt":"Can you normalise the channel group strings and run a two-measure correlation between covered_sessions and planned_sessions for my event coverage data? I have 4 rows: row-1 on 2026-10-01 for group-a with 10 covered and 1 planned, row-2 on 2026-10-02 for group-b with 20 covered and 2 planned, row-3 on 2026-10-03 for group-a with 15 covered and 3 planned, and row-4 on 2026-10-04 for group-b with 30 covered and 4 planned.","exampleUseCases":[{"title":"Media channel event session audit","prompt":"I have weekly event coverage data across two channel groups — can you normalise the channel_group strings and check whether covered_sessions correlate with planned_sessions? Here are my rows: row-1, 2026-10-01, group-a, covered=10, planned=1; row-2, 2026-10-02, group-b, covered=20, planned=2; row-3, 2026-10-03, group-a, covered=15, planned=3."},{"title":"Broadcast planning vs actuals check","prompt":"We track planned vs covered broadcast sessions by channel group each day. Can you clean up the string fields and run a correlation analysis between planned_sessions and covered_sessions for these 5 rows? I want to see how closely our planning matches what actually gets covered."},{"title":"Sports event coverage data cleanup","prompt":"I have 50 rows of sports event coverage records with channel group names that need string normalisation, and I want to know the statistical correlation between covered_sessions and planned_sessions. Can you generate both reports from my supplied data?"}],"resultDescription":"Returns two analytical reports: (1) string normalisation results for text fields such as channel_group, highlighting and standardising inconsistent casing or formatting; (2) a two-measure correlation analysis between covered_sessions and planned_sessions across all submitted rows, including the correlation coefficient and supporting statistics. No external lookups or predictions are made; all analysis is performed on the supplied data only.","failureModes":["Fewer than 1 row submitted — API rejects with validation error","More than 200 rows submitted — exceeds maxItems limit, rejected","Missing required fields (row_id, date, covered_sessions, planned_sessions) — schema validation failure","Date field does not match YYYY-MM-DD pattern — rejected","covered_sessions or planned_sessions values outside ±1,000,000,000,000 range — rejected","All covered_sessions or planned_sessions values are null — correlation cannot be computed, report may be empty or error"],"whenToPreferThis":"Choose this endpoint when you have tabular event coverage data with string fields needing normalisation and you want to measure statistical correlation between two numeric session measures (covered vs planned) in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed. Prefer this over generic analytics tools when the data fits within 200 rows and the $0.01 USDC flat-rate cost per two-report bundle is acceptable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:36:21.986Z","isFirstParty":false,"canonicalSlug":"event-coverage-string-normalisation-two-measure-correlation-0fb89efd"}