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MCP 需 API Key 未评级 已上架

Velrim Extract

Document extraction against a JSON Schema with a calibrated confidence per field.

该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
模型生成摘要(rules/v1 · 2026-09-27 16:56):Document extraction against a JSON Schema with a calibrated confidence per field
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。

接入信息

传输形态
http
鉴权方式
需 API Key(需要配置:Velrim API key)
端点
https://extract--velrim.run.tools
该服务需要凭证,请按官方文档申请后替换占位符
{
  "mcpServers": {
    "Velrim Extract": {
      "headers": {
        "Authorization": "Bearer \u003cYOUR_KEY\u003e"
      },
      "url": "https://extract--velrim.run.tools"
    }
  }
}

能力清单

工具说明
velrim_extractExtract structured data from a document (PDF or image, passed as document_base64 or as the upload_key of a staged upload) against a JSON Schema you supply. Returns a typed object and, for every field, a state (present, null, or missing), a calibrated confidence score, and an anchor (the source page and bounding box). The confidence is calibrated against published reliability curves (https://velrim.com/reliability), so a 0.9 means the field is right about 90% of the time on that document class — branch on it directly: act on a field at or above your accept threshold, escalate the fields below it and any that are missing. Use each field's anchor to check it against the source page.
velrim_job_statusPoll an asynchronous extraction job by its job_id (from POST /v1/jobs on the Velrim API; velrim_extract itself is synchronous and never creates jobs). Returns the job status and, once complete, the same typed result as velrim_extract: per field a state (present, null, or missing), a calibrated confidence score, and an anchor (source page and bounding box). Confidence is calibrated against published reliability curves (https://velrim.com/reliability) — branch the same way: act on a field at or above your accept threshold, escalate the rest, and use each anchor to check a field against its source page.
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