{"uid":"cap_O2_YBsUz1QRqKN1rVe1Kv","slug":"phishing-exercises-string-normalisation-numeric-interval-filter-0c0b66fb","name":"Phishing Exercises – String Normalisation + Numeric Interval Filter","description":"Phishing exercises — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied phishing exercises records (messages_delivered, reported_messages). 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-security-14-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","messages_delivered","reported_messages"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"control_group":{"type":"string","default":"","maxLength":80},"reported_messages":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"messages_delivered":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","reported_messages":1,"messages_delivered":10},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","reported_messages":2,"messages_delivered":20},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","reported_messages":3,"messages_delivered":15},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","reported_messages":4,"messages_delivered":30}],"maxItems":200,"minItems":1},"field":{"enum":["messages_delivered","reported_messages"],"type":"string","default":"messages_delivered"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_CE0M6LtuhPOp1VQ1c2Tiv","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 filters phishing exercise records (messages_delivered, reported_messages) by a numeric interval, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have phishing exercise records with messages_delivered and reported_messages columns — can you normalize the string fields and filter to rows where messages_delivered is between 5 and 50? Here are up to 200 rows of data including row_id, control_group, and date.","exampleUseCases":[{"title":"Filter low-engagement phishing campaigns","prompt":"I have our Q4 phishing simulation results with messages_delivered and reported_messages per group. Can you normalize the control_group names and filter down to only the rows where messages_delivered falls between 10 and 100?"},{"title":"Validate reported message counts in range","prompt":"Here are 150 rows from our last phishing awareness exercise. I need you to normalize the string fields and flag only rows where reported_messages is between 0 and 25 — that's the field I want filtered, with minimum 0 and maximum 25."},{"title":"Clean and scope security training export","prompt":"We exported our phishing exercise logs across group-a and group-b. Please normalize any messy string values and return only the entries where messages_delivered sits between 20 and 200, so we can focus on mid-volume campaigns."}],"resultDescription":"Up to 2 analytical reports covering: (1) normalised string field values for control_group and other text columns, and (2) rows filtered to those where the selected numeric field (messages_delivered or reported_messages) falls within the specified [minimum, maximum] interval. Results cover up to 200 input rows with no live lookup or external data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, messages_delivered, reported_messages) cause validation error","Invalid date format (non YYYY-MM-DD) triggers schema rejection","Minimum greater than maximum causes empty or error result","Null numeric values in the filtered field may be excluded from interval results","Payment not received — 402 response blocking processing"],"whenToPreferThis":"Choose this endpoint when you have tabular phishing exercise data (up to 200 rows) and need both string normalisation of categorical fields and a numeric range filter on message counts in one low-cost call. It is purpose-built for security awareness training datasets with messages_delivered and reported_messages columns, and delivers two analytical sub-reports for $0.01 USDC. Prefer alternatives if you need live threat data, predictive scoring, deduplication, time-series aggregation, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:06.318Z","isFirstParty":false,"canonicalSlug":"phishing-exercises-string-normalisation-numeric-interval-filter-0c0b66fb"}