{"uid":"cap_wVtWb8mE6vLckYbGbVVgG","slug":"vulnerability-queues-string-normalisation-numeric-row-ordering-ca1d3b77","name":"Vulnerability Queues: String Normalisation + Numeric Row Ordering","description":"Vulnerability queues — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied vulnerability queues records (open_findings, remediated_findings). 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-03-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","open_findings","remediated_findings"],"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},"open_findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"remediated_findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","open_findings":10,"remediated_findings":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","open_findings":20,"remediated_findings":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","open_findings":15,"remediated_findings":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","open_findings":30,"remediated_findings":4}],"maxItems":200,"minItems":1},"field":{"enum":["open_findings","remediated_findings"],"type":"string","default":"open_findings"}}},"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_NYA76cwOL_bGLJDSDuWED","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 sorts rows numerically for vulnerability queue records (open_findings, remediated_findings), producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you normalize the string fields and sort rows numerically for my vulnerability queue data? I have up to 50 rows with open_findings and remediated_findings across control groups, and I need both reports — one for string normalisation and one for numeric row ordering on the open_findings field.","exampleUseCases":[{"title":"Monthly vulnerability queue cleanup","prompt":"I've exported our monthly vulnerability queue — about 120 rows with open_findings and remediated_findings per control group and date. Can you normalize the string fields and give me a numerically ordered report sorted by open_findings?"},{"title":"Security audit data prep","prompt":"Before our security audit, I need to clean up and rank our findings data. I have 80 rows with row_id, control_group, date, open_findings, and remediated_findings. Can you run string normalisation and numeric row ordering on the remediated_findings field?"},{"title":"Control group comparison ranking","prompt":"I have a dataset of 40 vulnerability records across several control groups and I need them string-normalized and ranked numerically by open_findings count so I can see which groups have the most outstanding issues."}],"resultDescription":"Returns 2 analytical reports derived from the supplied rows: a string normalisation report (standardising text fields like row_id and control_group) and a numeric row ordering report (ranking rows by the selected numeric field, either open_findings or remediated_findings). No external lookups or live data — all analysis is performed locally on the submitted data.","failureModes":["Exceeding 200 rows results in rejection — trim input to 200 rows maximum","Missing required fields (row_id, date, open_findings, remediated_findings) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in the selected numeric field may affect ordering output","Payment not provided or incorrect amount results in 402 error"],"whenToPreferThis":"Choose this endpoint when you have vulnerability queue records (open_findings / remediated_findings) that need both string-field standardisation and numeric sorting in a single low-cost call. It is ideal for preprocessing security data exports before dashboarding or reporting, when you do not need live threat intelligence, predictions, or external lookups — just clean, ordered data from what you already have.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:52.602Z","isFirstParty":false,"canonicalSlug":"vulnerability-queues-string-normalisation-numeric-row-ordering-ca1d3b77"}