{"uid":"cap_lV-na6x7pkbI_4fLIBa7S","slug":"sampling-observations-string-normalisation-base-100-series-7c30adc9","name":"Sampling Observations — String Normalisation + Base-100 Series","description":"Sampling observations — String normalisation + Base-100 series: String normalisation + 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-15-030?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_CiWK8x1s43UMnGyMne4n_","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 string normalisation and a base-100 indexed series for up to 200 sampling observation rows (sample_value, sample_weight), returning two local analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and a base-100 index series on my sampling observations? I have 4 rows — row-1 on 2026-10-01 with sample_value 10 and weight 1, row-2 on 2026-10-02 with value 20 and weight 2, row-3 on 2026-10-03 with value 15 and weight 3, row-4 on 2026-10-04 with value 30 and weight 4 — use sample_value as the field and base on index 0.","exampleUseCases":[{"title":"Rebasing lab measurement series","prompt":"I have 6 months of lab sample readings across two groups — can you normalise the sample_value strings and rebase them to 100 starting from the first row so I can compare group-a and group-b on a common scale?"},{"title":"Weighted survey response analysis","prompt":"I've got 150 survey response rows with sample_value scores and sample_weight fields reflecting response counts — please run the string normalisation and base-100 index reports on the sample_weight field, using row index 0 as the base."},{"title":"Cross-dataset sampling QA","prompt":"Before I merge two sampling datasets, can you run the string normalisation and base-100 series on my combined set of 80 observation rows so I can spot any outliers or scaling issues across the dataset_group categories?"}],"resultDescription":"Returns two analytical reports: (1) a string-normalised representation of the selected field across all submitted rows, and (2) a base-100 indexed series anchored at the specified base_index row — both computed locally without external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — API rejects with validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","sample_value or sample_weight outside ±1 trillion range triggers validation failure","base_index out of range (≥ number of rows submitted) causes error","Empty rows array (minItems: 1 not met) returns validation error","Payment not included or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and base-100 series indexing on the same dataset of sampling observations in a single call, especially when working with up to 200 rows of weighted sample data and wanting two complementary analytical views without any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:13.469Z","isFirstParty":false,"canonicalSlug":"sampling-observations-string-normalisation-base-100-series-7c30adc9"}