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Use synthetic or authorized pseudonymous fields." }, "fields": { "title": "Declared literal attribute fields", "type": "array", "description": "1–20 unique field names matching letters followed by letters/digits/underscore/dot/hyphen, max64characters. Dots are literal names, not nested paths. Reserved prototype names rejected. Values remain exact strings including case/whitespace." }, "baseline": { "title": "Baseline declared model", "type": "object", "description": "Explicit version,fallbackOwnerId,rules. Each rule: unique ruleId and integer priority0–1000000, opaque ownerId, explicit unconditional boolean, predicates object mapping declared fields to1–100 unique literal allowed strings. AND across fields; membership within each field. Ascending priority wins. unconditional true exactly when predicates empty. Max100rules." }, "candidate": { "title": "Candidate declared model", "type": "object", "description": "Same finite literal rule format as baseline, with explicit candidate version and fallback. Not live Salesforce/HubSpot semantics: no formulas, Flow/Apex, round-robin, regex or API access. Unknown earlier predicate makes winner unknown." }, "fixtures": { "title": "Routing fixtures", "type": "array", "description": "0–2000 rows: unique rowId, attributes object containing only declared string fields, optional expectedCandidateOwner. Missing field is absent, not empty string. Duplicate IDs rejected even if identical. Supply array OR nonemptyCSV; remove array forCSV. Explicit [] returns no-fixtures, never a clean conclusion. TotalJSON<=4MB;20,000 matched/unknown rule occurrences across both models; output caps may require smaller batches." }, "fixturesCsv": { "title": "Mapped fixture CSV", "type": "string", "description": "Alternative to array. Remove fixtures array, supply nonemptyCSV. BOM/quoted fields accepted; duplicate or unmapped headers and irregular rows rejected. rowId column required; absent attribute columns mean missing evidence, blank attribute cells mean exact empty string. Empty expectation means not supplied. Header-onlyCSV is explicit zero fixtures." }, "fixtureColumns": { "title": "CSV column mapping", "type": "object", "description": "Optional mapping {rowId:header,expectedCandidateOwner:header,attributes:{declaredField:header}}. Mapped headers distinct. rowId required inCSV; expected/attribute columns may be absent. Canonical mapping is harmless with arrays; a custom mapping requiresCSV. 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