{"uid":"cap_RxNVDbdeqh5zcjmvj4mvS","slug":"join-coverage-analytics-string-normalisation-numeric-distribution-0ce2ff0b","name":"Join Coverage Analytics: String Normalisation + Numeric Distribution","description":"Join coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied join coverage records (matched_rows, source_rows). 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-analytics-09-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","matched_rows","source_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"matched_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_rows":1,"matched_rows":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_rows":2,"matched_rows":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_rows":3,"matched_rows":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_rows":4,"matched_rows":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["matched_rows","source_rows"],"type":"string","default":"matched_rows"}}},"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_so882qzKF3Yys90cvsru9","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":"Analyzes join coverage data (matched_rows, source_rows) by producing string normalization and numeric distribution reports for up to 200 supplied rows.","exampleAgentPrompt":"Can you run a join coverage analysis on this dataset — I have 4 rows with matched_rows and source_rows values across two groups (group-a and group-b) from October 2026, and I want both the string normalization and numeric distribution reports for the matched_rows field?","exampleUseCases":[{"title":"ETL pipeline join quality audit","prompt":"I have a batch of 50 join coverage records from our ETL run last week, each with a row_id, dataset_group, date, matched_rows, and source_rows. Can you give me the string normalization and numeric distribution reports for the source_rows field so I can spot any anomalies?"},{"title":"Multi-group coverage distribution check","prompt":"We have join coverage data across 4 dataset groups from Q3 — about 120 rows total. Can you analyze the matched_rows field and give me the numeric distribution and string normalization breakdown so I can see how evenly coverage is distributed?"},{"title":"Data quality review for join completeness","prompt":"Before we promote this dataset to production, I want to check join completeness. Here are 30 rows with matched_rows and source_rows counts by date and group — can you run the coverage analytics on matched_rows and show me the distribution and normalization reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalization report summarizing dataset_group and date values across the supplied rows, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (matched_rows or source_rows), covering up to 200 input rows with no external data lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit, request rejected","Missing required fields (row_id, dataset_group, date, matched_rows, or source_rows) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you need a fast, local statistical profile of join coverage metrics (matched_rows, source_rows) across up to 200 records, particularly when you want both string normalization and numeric distribution in a single $0.01 call without any external lookup or live data dependency. Prefer it over general analytics APIs when your data fits the join-coverage schema (row_id, dataset_group, date) and you need a lightweight, deterministic analytical report.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:46:39.283Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-string-normalisation-numeric-distribution-0ce2ff0b"}