{"uid":"cap_xrHIZQyaB0tCEQKiZ9Uv2","slug":"join-coverage-numeric-row-ordering-base-100-series-8ca154c9","name":"Join Coverage — Numeric Row Ordering + Base-100 Series","description":"Join coverage — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-09-117?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_Lz6RL3-8z93I2kCHV0FNV","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":"Computes numeric row ordering and a base-100 index series for join coverage records (matched_rows, source_rows) supplied by the caller, returning two analytical reports.","exampleAgentPrompt":"I have join coverage records for groups A and B across four dates — can you rank them numerically by matched_rows and also compute a base-100 index series starting from row index 0? Here are the rows: row-1 on 2026-10-01 with source_rows=1 and matched_rows=10 in group-a, row-2 on 2026-10-02 with source_rows=2 and matched_rows=20 in group-b, row-3 on 2026-10-03 with source_rows=3 and matched_rows=15 in group-a, row-4 on 2026-10-04 with source_rows=4 and matched_rows=30 in group-b.","exampleUseCases":[{"title":"Monitoring join quality trends over time","prompt":"I want to see how my join coverage has changed week over week — can you take these 20 daily records with matched_rows and source_rows, rank them numerically by matched_rows, and give me a base-100 index series so I can see the trend relative to the first row?"},{"title":"Comparing coverage across dataset groups","prompt":"I have join coverage data for three dataset groups across the last month. Can you rank all the rows by source_rows and produce a base-100 index starting at row 0 so I can compare how each group's coverage scales relative to the baseline?"},{"title":"Auditing a data pipeline's match rate","prompt":"We ran a data pipeline and got these join coverage records — 50 rows with matched_rows and source_rows per batch. Can you give me a numeric ordering by matched_rows and index everything to base-100 from row index 0 so I can quickly spot which batches performed worst?"}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the supplied join coverage records ranked by the selected field (matched_rows or source_rows), and (2) a base-100 index series showing how the selected metric evolves relative to the base row, both computed locally without any external data lookups. Up to 200 rows are supported per call.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) — validation error","Date field not in YYYY-MM-DD format — schema validation failure","base_index out of range (0–199) — rejected","Invalid field value (not 'matched_rows' or 'source_rows') — enum validation error","Payment not completed — x402 payment required error before processing"],"whenToPreferThis":"Choose this endpoint when you have pre-collected join coverage data (matched_rows and source_rows) and need both a numeric ranking and a base-100 index series in a single call. It is ideal for offline/batch analytical workflows where you supply your own data and want two complementary views — ordered ranking and normalized indexing — without any external lookups or live data fetching. Prefer it over single-report endpoints when you need both ordering and indexing together at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:41:01.890Z","isFirstParty":false,"canonicalSlug":"join-coverage-numeric-row-ordering-base-100-series-8ca154c9"}