{"uid":"cap_fqSpnPbe7CYIceLDWVy_C","slug":"account-research-coverage-string-normalisation-equal-width-histogram-83ba342f","name":"Account Research Coverage — String Normalisation + Equal-Width Histogram","description":"Account research coverage — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram for supplied account research coverage records (researched_accounts, target_accounts). 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-company-08-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","researched_accounts","target_accounts"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"target_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"researched_accounts":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","target_accounts":1,"researched_accounts":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","target_accounts":2,"researched_accounts":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","target_accounts":3,"researched_accounts":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","target_accounts":4,"researched_accounts":30}],"maxItems":200,"minItems":1},"field":{"enum":["researched_accounts","target_accounts"],"type":"string","default":"researched_accounts"}}},"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_M6qRbAdRx04xHdAKif6hq","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 string normalisation and equal-width histogram analysis on account research coverage data (researched_accounts and target_accounts) for up to 200 rows, returning two local analytical reports.","exampleAgentPrompt":"Can you run a string normalisation and equal-width histogram on my account research coverage data? I have 4 rows across two groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04, researched_accounts values of 10, 20, 15, 30, and target_accounts of 1, 2, 3, 4. Use 5 bins and analyse the researched_accounts field.","exampleUseCases":[{"title":"Distribution check on researched accounts","prompt":"I have a list of 80 company records with researched_accounts and target_accounts counts per date. Can you normalise the strings and show me how the researched_accounts values are spread across 10 equal-width histogram bins?"},{"title":"Target accounts frequency audit","prompt":"Run a histogram on my target_accounts data across 150 rows of account research coverage records — group them into 8 bins so I can see where most of my target counts are concentrated."},{"title":"Account coverage data quality pass","prompt":"I want to clean up and normalise my account research coverage records and also get a histogram of the researched_accounts field with 5 bins — I have about 50 rows with company_group, date, and both account count columns."}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report cleaning and standardising text fields in the supplied rows, and (2) an equal-width histogram report showing bin boundaries and frequencies for the selected numeric field (researched_accounts or target_accounts), computed entirely locally on the supplied data without any external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level rejection","bins value outside 1–30 range returns validation error","Numeric values outside ±1,000,000,000,000 are rejected","Missing required fields (row_id, company_group, date) cause schema validation failure","All null values in the selected numeric field may produce an empty histogram"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage data and need both string normalisation and an equal-width histogram in a single low-cost call. Ideal for lightweight, local statistical profiling of CRM or sales pipeline data without requiring a live data connection, external enrichment, or heavy analytics infrastructure. Best suited for batch pre-processing or QA passes on account research exports.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:47:49.834Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-string-normalisation-equal-width-histogram-83ba342f"}