{"uid":"cap_zkFrKS5tDgcWmDJSSFJV2","slug":"sampling-observations-record-quality-audit-daily-sum-series-fd92ae4a","name":"Sampling Observations — Record Quality Audit + Daily Sum Series","description":"Sampling observations — Record quality audit + Daily sum series: Record quality audit + Daily sum 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-15-009?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"}}},"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_F_FmP3BdqEbpPwnovM-_4","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":"Audits data quality and computes daily sum time series for up to 200 sampling observation rows containing sample_value and sample_weight fields.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my sampling observations? I have about 50 rows, each with a row_id, dataset_group, date (like 2026-10-01), sample_value, and sample_weight — I want the analysis done on the sample_value field.","exampleUseCases":[{"title":"Environmental sensor data quality check","prompt":"I have 120 rows of air quality sensor readings with dates, sample values, and sample weights — can you audit the record quality and give me the daily sum series for the sample_value field so I can spot bad readings and see the daily totals?"},{"title":"Survey response validation and daily rollup","prompt":"I collected 80 survey response records across different groups, each with a date, sample_value score, and a sample_weight. Can you run both a quality audit to flag any bad records and compute a daily sum series on sample_value for me?"},{"title":"Lab test result aggregation by day","prompt":"I've got 150 lab test observations across multiple dataset groups with dates, measured values as sample_value, and sample_weight — please audit data quality and produce a daily sum series on sample_weight so I can see daily totals and catch any anomalies."}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a record quality audit flagging data issues, nulls, or anomalies per row, and (2) a daily sum time series aggregating the selected field (sample_value or sample_weight) by date. Both reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes row-level errors","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric values outside ±1,000,000,000,000 range cause validation failures","Empty rows array (minItems:1 not met) causes request rejection"],"whenToPreferThis":"Use this endpoint when you need both a data quality audit and a daily aggregated sum series from the same batch of sampling observation rows in a single call for a flat fee of $0.01 USDC. It is ideal for offline or batch analytical pipelines where no live lookup, prediction, or external enrichment is needed, and you want two bundled reports — quality flags plus daily totals — without paying for separate API calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:02.938Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-daily-sum-series-fd92ae4a"}