{"uid":"cap__RAHT9CKiXYDgYg9LxYcl","slug":"sampling-observations-record-quality-audit-base-100-series-1c23c6e7","name":"Sampling Observations — Record Quality Audit + Base-100 Series","description":"Sampling observations — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied sampling observations records (sample_value, sample_weight). 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-15-012?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","sample_value","sample_weight"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"sample_value":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"sample_weight":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","sample_value":10,"dataset_group":"group-a","sample_weight":1},{"date":"2026-10-02","row_id":"row-2","sample_value":20,"dataset_group":"group-b","sample_weight":2},{"date":"2026-10-03","row_id":"row-3","sample_value":15,"dataset_group":"group-a","sample_weight":3},{"date":"2026-10-04","row_id":"row-4","sample_value":30,"dataset_group":"group-b","sample_weight":4}],"maxItems":200,"minItems":1},"field":{"enum":["sample_value","sample_weight"],"type":"string","default":"sample_value"},"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_NgvMeLb18dXBq53oA6tgD","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":"Runs two local analytical reports on sampling observation rows: a record quality audit and a Base-100 index series, for up to 200 rows of sample_value/sample_weight data.","exampleAgentPrompt":"Can you run a record quality audit and a Base-100 index series on my sampling observations? I have about 50 rows with columns row_id, dataset_group, date, sample_value, and sample_weight — use sample_value as the target field and set the base index to row 0.","exampleUseCases":[{"title":"Survey data quality check","prompt":"I have 120 rows of survey sampling data with sample_value and sample_weight fields — can you run a record quality audit on them and also generate a Base-100 index series anchored to the first row so I can see how values shifted over time?"},{"title":"A/B test sample normalization","prompt":"I've got two groups of sampling observations (group-a and group-b) across 80 rows with dates, sample values, and weights. Run both the quality audit and the Base-100 series on sample_weight, using row index 0 as the base, so I can compare group trends."},{"title":"Pipeline data validation for sampling logs","prompt":"Before I load these 200 sampling observation records into our data warehouse, can you audit them for record quality issues and produce a Base-100 series on sample_value starting from row index 0? I want to catch any bad data and see the normalized trend."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed records across the submitted rows; and (2) a Base-100 index series normalizing the selected field (sample_value or sample_weight) relative to the specified base row, showing relative change across the dataset. Both reports are computed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause row rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","base_index out of range (0–199) returns an error","Values outside ±1,000,000,000,000 fail schema bounds","Empty rows array (minItems: 1 not met) returns a bad request error"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical outputs — a data quality audit and a Base-100 index series — on sampling observation data (up to 200 rows) in a single low-cost call ($0.01 USDC). It is ideal when you want to validate record completeness and normalize a numeric series simultaneously without relying on external APIs or live data sources. Prefer alternatives if you need deduplication, histogram analysis, string normalization, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:54:32.107Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-base-100-series-1c23c6e7"}