{"uid":"cap_-5SAiW-5IBovAawI8NM1W","slug":"sampling-observations-record-quality-audit-string-normalisation-base-baa37322","name":"Sampling Observations — Record Quality Audit + String Normalisation + Base-100 Series","description":"Sampling observations — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-201?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_5r5hFS8PW0c0TygX32W2h","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 three local analytical reports on sampling observation records: a record quality audit, string normalisation, and a base-100 indexed series — all offline, no external lookups.","exampleAgentPrompt":"Can you run the three-report analytics bundle on my sampling observations — quality audit, string normalisation, and base-100 series anchored to row index 0 — for the sample_value field? Here are up to 200 rows with row_id, dataset_group, date, sample_value, and sample_weight.","exampleUseCases":[{"title":"Audit incoming survey sample data","prompt":"I've got a batch of survey sampling records with row IDs, group labels, dates, sample values, and weights — can you run a full quality audit, string normalisation, and base-100 series on the sample_value field, anchored to the first row?"},{"title":"Baseline-index experiment readings","prompt":"I have up to 150 experiment observation rows with sample_value and sample_weight — please produce a base-100 indexed series for sample_value starting from row index 0, along with the quality audit and string normalisation reports."},{"title":"Clean and validate market research samples","prompt":"My market research dataset has 80 sampling observation records across several dataset groups — can you run all three reports (record quality audit, string normalisation, and base-100 series on sample_weight anchored at index 0) so I can check data integrity before analysis?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging completeness, nulls, and structural issues; (2) a string normalisation report standardising text fields like dataset_group; (3) a base-100 indexed series for the chosen numeric field (sample_value or sample_weight) relative to the specified base row index. All computed locally from the supplied rows, no external data.","failureModes":["More than 200 rows supplied — request rejected at maxItems limit","Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) on any row — validation error","base_index out of range (≥ number of rows supplied) — index error","date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric fields outside ±1,000,000,000,000 range — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need three bundled offline analytics reports — quality audit, string normalisation, and base-100 indexing — on up to 200 sampling observation rows in a single low-cost call. Prefer it over separate single-report endpoints when your data already contains sample_value and sample_weight fields and you want comprehensive data-quality and trend analysis without any external lookups or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:16.609Z","isFirstParty":false,"canonicalSlug":"sampling-observations-record-quality-audit-string-normalisation-base-baa37322"}