{"uid":"cap_9iR2lUBAU5qVtoQLDywLh","slug":"firewall-rule-reviews-record-quality-audit-string-normalisation-e83bdd09","name":"Firewall Rule Reviews — Record Quality Audit + String Normalisation","description":"Firewall rule reviews — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied firewall rule reviews records (rules_reviewed, rules_removed). 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-08-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","rules_reviewed","rules_removed"],"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},"rules_removed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rules_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","rules_removed":1,"rules_reviewed":10},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","rules_removed":2,"rules_reviewed":20},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","rules_removed":3,"rules_reviewed":15},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","rules_removed":4,"rules_reviewed":30}],"maxItems":200,"minItems":1}}},"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_DaIxUYgbX4kVCsbgWntbf","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":"Audits data quality and normalises strings in firewall rule review records (rules_reviewed, rules_removed) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my firewall rule review data — I have rows with fields like date, control_group, rules_reviewed, and rules_removed, and I want to catch any data issues and clean up the strings before I submit my security report?","exampleUseCases":[{"title":"Pre-report firewall data cleanup","prompt":"Before I send the monthly security report, can you audit and normalise my firewall rule review records? I have 50 rows with dates, control groups, and counts of rules reviewed and removed — just flag any quality issues and tidy up the strings."},{"title":"Cross-team control group consistency check","prompt":"We have two teams submitting firewall rule review data and the control_group names are inconsistent. Can you run a string normalisation and quality audit on these 120 rows so we can spot the discrepancies before merging?"},{"title":"Automated pipeline data validation","prompt":"As part of our nightly pipeline, I need to validate the latest batch of firewall review records — up to 200 rows covering rules_reviewed and rules_removed — and get back a quality audit and normalised strings so downstream jobs don't break."}],"resultDescription":"Two independent reports per call: (1) a record quality audit identifying missing values, malformed dates, out-of-range numerics, and other data issues across the submitted rows; (2) a string normalisation report showing cleaned/standardised versions of string fields such as control_group. No external lookups or live data are involved — all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — request rejected","Malformed date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, rules_reviewed, rules_removed) — rejected row or error","Numeric values outside allowed range — schema rejection","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical quality assurance specifically for firewall rule review datasets (rules_reviewed, rules_removed) with up to 200 rows, and want both a record quality audit and string normalisation in a single low-cost call without any live lookups, external predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:35:03.140Z","isFirstParty":false,"canonicalSlug":"firewall-rule-reviews-record-quality-audit-string-normalisation-e83bdd09"}