assess_supplier_credibility

ai.meacheal/mrc-data · Verify this server

Assess a supplier's overall data credibility by fusing multiple declared-vs-verified signals into one 0-100 trust score, with cross-signal physical-plausibility checks. USE WHEN: - User asks "is this factory's data trustworthy / are they overstating?" - "credibility / trust score / red flags for sup_XXX" - "does sup_XXX's declared capacity match its actual workforce?" - "这家工厂数据可信吗 / 有没有虚报 / 可信度评分 / 产能和用工对得上吗" PREREQUISITE: a valid supplier_id from search_suppliers / get_supplier_detail / recommend_suppliers. RETURNS: { supplier_id, company_name, trust_score (0-100 or null), confidence (high/medium/low/none), composite_risk, signals[], red_flags[], coverage_pct, parameters, method_note } HOW IT WORKS: fuses up to 5 weighted signals over ONLY the signals that have data — social-insurance-vs-declared-workers, capacity-vs-workforce physical plausibility, declared-vs-verified capacity, certification validity, quality track record — then propagates a confidence level from how many signals and verified dimensions backed the score. Red flags are SUSPECTED inconsistencies, NOT definitive fraud findings; recommend human/document-level confirmation. 中文：把"申报 vs 核验"的多路信号(社保↔申报用工、产能↔核验用工的物理一致性、申报↔核验产能、认证时效、质量记录)按来源可靠度加权融合成一个 0-100 可信度分,并按数据覆盖度给出该分数的置信度。红旗为疑似不一致,非定性结论。