{"uid":"cap_jOUhVb1-p1VZZVDis1ZG-","slug":"account-research-coverage-histogram-iqr-outlier-flags-37bfb67e","name":"Account Research Coverage Histogram & IQR Outlier Flags","description":"Account research coverage — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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-08-170?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_o77lHF0Oxlrj6u1yXHp3b","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 equal-width histograms and IQR-based outlier flags for account research coverage data (researched_accounts and target_accounts fields) across up to 200 supplied rows.","exampleAgentPrompt":"Analyze my account research coverage records for outliers and distribution — I have 50 rows with company_group, date, researched_accounts, and target_accounts. Run the histogram with 8 bins and flag IQR outliers on the researched_accounts field.","exampleUseCases":[{"title":"Sales team coverage gap detection","prompt":"I have a dataset of 120 rows tracking how many accounts our sales reps researched vs targeted each day by company group. Can you run an equal-width histogram with 10 bins and flag any IQR outliers on the researched_accounts field so I can see where coverage is unusually high or low?"},{"title":"Target account pipeline anomaly check","prompt":"We track target_accounts daily across several company groups and I suspect some entries are way off. Can you build a histogram with 5 bins and apply IQR outlier detection on the target_accounts field across our 80 records so we can spot the anomalies?"},{"title":"Multi-group research activity distribution review","prompt":"I want to understand how our account research activity is distributed across group-a and group-b over the past quarter — I have 150 rows with researched_accounts and target_accounts. Run a 6-bin histogram with IQR outlier flags on the researched_accounts field and tell me which rows look unusual."}],"resultDescription":"Returns two reports sharing local analytical engines: (1) an equal-width histogram dividing the chosen numeric field into the specified number of bins with counts per bin, and (2) IQR-based outlier flags identifying which row IDs fall outside the interquartile fence. No external data is fetched; all analysis is performed on the supplied rows only.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows submitted exceeds the row limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in the selected field may reduce effective sample size for IQR calculation","bins value outside 1–30 range is rejected","Missing required fields (row_id, company_group, date) cause row-level errors"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of account research coverage data and need both a distribution histogram and IQR-based outlier detection in a single low-cost call. It is ideal for sales ops or revenue teams auditing account research activity without needing external data enrichment, live lookups, or predictive modeling. Prefer it over general-purpose analytics tools when the specific fields researched_accounts and target_accounts are your primary metrics of interest.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:59.452Z","isFirstParty":false,"canonicalSlug":"account-research-coverage-histogram-iqr-outlier-flags-37bfb67e"}