{"uid":"cap_4OTtMVuW6Oqn3p8a-880L","slug":"join-coverage-analytics-numeric-interval-filter-adjacent-row-changes-0f62dbbf","name":"Join Coverage Analytics: Numeric Interval Filter + Adjacent Row Changes","description":"Join coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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-09-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ZBiY3ko083zD_lgtotlvB","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 records (matched_rows, source_rows) by applying a numeric interval filter and detecting adjacent row changes across up to 200 rows in two independent reports.","exampleAgentPrompt":"Can you analyze my join coverage data — I have 4 rows for dataset groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 — and run both the numeric interval filter (minimum 0, maximum 100) and adjacent row changes report on the matched_rows field?","exampleUseCases":[{"title":"ETL pipeline join coverage audit","prompt":"I have join coverage records for two dataset groups across October — can you filter matched_rows between 10 and 50, and also flag any adjacent rows where the value changed, so I can spot anomalies in my ETL pipeline?"},{"title":"Source row threshold monitoring","prompt":"Run an interval filter on source_rows between 1 and 200 and detect adjacent row changes for my join coverage dataset — I have about 80 rows across three groups dated from 2025-01-01 to 2025-03-31."},{"title":"Data quality report for matched vs source rows","prompt":"I want to check my join coverage data quality: please filter the source_rows field for values between 0 and 500 and show me where values change between consecutive rows, using my 150-row dataset grouped by region and week."}],"resultDescription":"Returns two independent analytical reports for the supplied join coverage rows: (1) a numeric interval filter report identifying which rows have the selected field (matched_rows or source_rows) within the specified minimum/maximum range, and (2) an adjacent row changes report highlighting where consecutive rows show a change in the selected field value. Results cover up to 200 input rows with no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) on any row — validation error","Date fields not matching YYYY-MM-DD format — schema validation failure","Minimum value greater than maximum value — may produce empty filter results","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Empty rows array — rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have join coverage tabular data (matched_rows and source_rows per date/group) and need both a numeric range filter and an adjacent-row change detection report in a single call. It is ideal for data engineers and analysts monitoring ETL join quality, data reconciliation pipelines, or coverage drift over time. Prefer this over general-purpose analytics tools when you want two bundled local analytical reports at low cost ($0.01 USDC) without any external data lookups or ML predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:54:42.598Z","isFirstParty":false,"canonicalSlug":"join-coverage-analytics-numeric-interval-filter-adjacent-row-changes-0f62dbbf"}