{"uid":"cap_osJGO2R7-x9xP81j3pq4H","slug":"search-result-observations-string-normalisation-numeric-distribution-e015c435","name":"Search Result Observations — String Normalisation + Numeric Distribution","description":"Search result observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied search result observations records (result_count, unique_domains). 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-web-13-022?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","result_count","unique_domains"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"result_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"unique_domains":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","result_count":10,"unique_domains":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","result_count":20,"unique_domains":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","result_count":15,"unique_domains":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","result_count":30,"unique_domains":4}],"maxItems":200,"minItems":1},"field":{"enum":["result_count","unique_domains"],"type":"string","default":"result_count"}}},"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_yGTmS_m14LN8V2h7T5R4r","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":"Normalises string fields and computes numeric distribution statistics for up to 200 search result observation records (result_count, unique_domains) in two independent analytical reports.","exampleAgentPrompt":"Can you run string normalization and numeric distribution analysis on my search result observations? I have up to 50 rows with site_group, date, result_count, and unique_domains fields — I want both reports and I'd like to analyze the result_count field.","exampleUseCases":[{"title":"SEO campaign result count analysis","prompt":"I have daily search result observation data for two site groups over the past month — can you normalize the site_group strings and give me a numeric distribution report on result_count across all those rows?"},{"title":"Unique domain spread analysis","prompt":"Here are 80 rows of search result observations with site_group, date, and unique_domains values — run string normalization and compute the numeric distribution for the unique_domains field so I can see how spread out the values are."},{"title":"Multi-group search data audit","prompt":"I've got search result records for groups A and B across 30 dates and I need two analytical reports: string normalization of the site_group labels and a numeric distribution breakdown of result_count. Can you process all these rows for me?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report for the site_group field across submitted rows, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, histogram-style binning) for the selected numeric field (result_count or unique_domains), covering up to 200 supplied rows. No external lookups or predictions are performed — all analysis uses local engines on the supplied data.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit and will be rejected","Missing required fields (row_id, site_group, date, result_count, or unique_domains) in any row causes validation failure","Invalid date format (not YYYY-MM-DD) causes schema rejection","Invalid field enum value (not result_count or unique_domains) causes an error","All-null numeric values for selected field may yield empty or degenerate distribution report","Payment of 0.01 USDC not included or rejected causes x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have tabular search result observation data (with result_count and unique_domains columns) and need both string normalization of categorical labels AND numeric distribution statistics in a single low-cost call. Ideal for pre-analysis data cleaning and quick statistical profiling of search datasets without needing a full analytics platform. Not suitable for live search queries, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:21.464Z","isFirstParty":false,"canonicalSlug":"search-result-observations-string-normalisation-numeric-distribution-e015c435"}