V0.2 operation alphaReal crawler projectionpublic alpha routePublic prices are generated from the operation SOP crawler_projection after capture, normalization, and deterministic gates. This is alpha projection data, not a GTM readiness claim; conflict or low-confidence rows stay in manual review.
LLMTicker V0.2 release data status2 hSource detail
ModelsWar Anthropic elevated-errors incident note
A GET-safe, human-readable evidence page for public source badges.
Evidence metadata
Source nameModelsWar Anthropic elevated-errors incident noteLLMTicker API schema34 d
Source typemanualLLMTicker API schema34 d
Canonical URL/en/sources/ev_rep_item_anthropic_blog_4e6db5f9be64f9d3cbba40e0c75ee86bf9c9984356f44f628dc5217bfce79364LLMTicker API schema34 d
Original URLhttps://modelswar.com/change/anthropic-incident-elevated-errors-across-multiple-models-1034/LLMTicker API schema34 d
Entityprovider_external_reputation_item:prov_anthropicLLMTicker API schema34 d
Observed fieldweb_reputation_itemLLMTicker API schema34 d
Observed value{"providerId":"prov_anthropic","providerSlug":"anthropic","sourceProvider":"blog","sourceFamily":"technical_blog","collectionMode":"manual_public_summary","sourceUrl":"https://modelswar.com/change/anthropic-incident-elevated-errors-across-multiple-models-1034/","sourceLabel":"ModelsWar Anthropic elevated-errors incident note","capturedAt":"2026-05-21T00:00:00.000Z","observedAt":"2026-05-12T00:00:00.000Z","summary":"Incident note records elevated Anthropic errors across multiple models and recommends multi-model fallback for production workloads.","originalSummary":"Incident note records elevated Anthropic errors across multiple models and recommends multi-model fallback for production workloads.","originalLanguage":"en","localizedSummaries":{"en":{"text":"Incident note records elevated Anthropic errors across multiple models and recommends multi-model fallback for production workloads.","provenance":"source","provider":"none","status":"not_needed","sourceTextHash":"ee2ebd1bccfd6cf50dfd1d1b7723126c543654d11e6f4d3ccb036ac5ed810983"},"zh-CN":{"text":"事件记录显示 Anthropic 多模型错误率升高，并建议生产负载使用多模型回退。","provenance":"human_edited","provider":"manual","status":"ready","sourceTextHash":"ee2ebd1bccfd6cf50dfd1d1b7723126c543654d11e6f4d3ccb036ac5ed810983"}},"sentiment":"negative","dimensions":["availability","model_coverage"],"resolutionState":"unknown","scoreEligible":true,"caveats":["not_llmticker_verified","public_summary","source_attribution_required","human_translated"],"notLlmtickerUserReview":true,"id":"rep_item:anthropic:blog:4e6db5f9be64f9d3cbba40e0c75ee86bf9c9984356f44f628dc5217bfce79364"}LLMTicker API schema34 d
CapturedLLMTicker API schema34 d
VerifiedLLMTicker API schema34 d
Confidence78%LLMTicker API schema34 d
Review statusactiveLLMTicker API schema34 d
NotesExternal public reputation item; not an LLMTicker verified user review.LLMTicker API schema34 d