Gridzen Verification

ai.gridzenv0.2.0更新于 Oct 8, 2026

Country verification research, integration planning and synthetic tests. No live identity checks.

已验证Streamable HTTP可网页运行Developer ToolsSecurity & Monitoring

概览

AI 生成的概览

让助手研究各国身份验证覆盖情况、规划验证流程，并用合成数据做沙盒测试，不进行真实身份核验。

功能
Gridzen Verification 提供五个工具：get_coverage、plan_verification、create_sandbox_verification、get_sandbox_verification 和 explain_result。它们基于内置的离线研究目录（覆盖 198 个国家和地区）和合成夹具运行，因此助手可以查询某国支持哪些验证能力、为付款等事件起草集成方案，并模拟 timeout、not_found 等结果。这些工具被标注为只读且幂等，且未启用任何真实服务商。
适用场景
适合在评估或设计身份验证集成时使用，用于获取国家覆盖研究、集成方案或合成测试结果，然后再接入真实服务商。不适用于核验真实个人或授权真实付款。
运行要求
远程 Streamable HTTP 端点位于服务商的开发者路径下，无需账号或 API 密钥。本地方式为 Python 3.11+ 的 stdio 服务器，从 GitHub 发布版或网站下载安装（尚无 PyPI 包）；CLI 和 MCP 使用内置离线目录，HTTP 客户端和示例会调用公共沙盒。远程使用限速为每个客户端地址每分钟 120 次请求，总体每分钟 600 次。
安装前请注意
未启用任何真实服务商，也不会核验真实个人；合成匹配结果不能用于授权真实用户或付款，模拟 ID 只是夹具，不是唯一交易标识。切勿向沙盒发送身份证号、银行账户、证件或凭据。远程使用会把文档中列出的参数发送给服务商，本地 stdio 则保持离线。研究证据不等于可商业使用某服务商的许可。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Gridzen Verification，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "verification": {
      "type": "http",
      "url": "https://gridzen.ai/developers/mcp"
    }
  }
}

README

Gridzen Developer Kit 0.2.0

Research for 198 countries/territories, a verification integration planner, five synthetic outcomes, an HTTP SDK, local MCP server and three Skills. No live provider is enabled. No real person is verified. The research snapshot is dated 2026-10-07, with source links and file hashes.

中文指南 · Guía en español

Try it

Public playground: https://gridzen.ai/developers/

Download gridzen-developer-kit.zip, extract it, then:

sh
python3 -m venv .venv. .venv/bin/activatepython -m pip install './gridzen-developer-kit[mcp]'gridzen coverage --country ID --capability bank_account_matchgridzen plan --country ID --event payoutgridzen simulate --country ID --capability bank_account_match --scenario timeoutpython gridzen-developer-kit/examples/payout.py

Python 3.11+. CLI and MCP use the bundled offline catalog and fixtures; the Python HTTP client/example calls the public sandbox. Dependencies are downloaded only during installation. API reference: https://gridzen.ai/developers/api/openapi.json .

MCP

Register a local stdio server in your MCP client. Use the absolute path to the installed executable; configuration syntax varies by client. A conventional mcpServers configuration is:

json
{"mcpServers":{"gridzen":{"command":"/absolute/path/to/.venv/bin/gridzen-mcp","args":[]}}}

Tools: get_coverage, plan_verification, create_sandbox_verification, get_sandbox_verification, explain_result. All operate on local research or synthetic fixtures, with read-only/idempotent annotations. Public research/sandbox MCP endpoint: https://gridzen.ai/developers/mcp (Streamable HTTP, no account or API key). It has the same five tools and zero live providers. Remote usage sends the documented arguments to Gridzen; local stdio remains offline. Limits: 120 requests/minute per client address and 600/minute overall, returning HTTP 429 with Retry-After.

Skills

Copy the individual directories from skills/ into your compatible agent's project or user skill directory. Each entrypoint is SKILL.md; preserve its references/ directory. No marketplace listing or automatic registration is implied.

HTTP SDK

python
from gridzen_developer.client import Gridzenclient = Gridzen()plan = client.plan('ID', 'payout')result = client.simulate('ID', 'bank_account_match', 'not_found')assert result['status'] == 'inconclusive'assert result['verified'] is False

Only documented country/event/capability/scenario fields are accepted. Never send identity numbers, bank accounts, documents or credentials to the sandbox. Simulation IDs encode fixtures and are not unique transaction identifiers. A synthetic match cannot authorize real users or payments. Research evidence is distinct from Gridzen availability or commercial permission.

Repository checkout: local service and checks

sh
python -m pip install '.[test,server]'python -m pytest -qpython scripts/check_mcp.pyuvicorn gridzen_developer.server:app --host 127.0.0.1 --port 8030

Production uses an independent container at localhost:8030 proxied only under /developers/. See deploy/compose.yml and deploy/developers.conf. Removing that proxy file and stopping this container rolls back the preview; the existing API and Agent Company stacks are separate.

Repository checkout: build distributions

python scripts/build_downloads.py creates allowlisted developer-kit and Skills ZIPs; it excludes tests, deployment files, private credentials and itself from recursive download packaging. python scripts/build_catalog.py <repo>/docs/research/identity-verification/2026-10-07 refreshes the public research projection. Main repository report files remain the provenance source.

Public distribution

Source: https://github.com/immurray/gridzen-developer-kit . Install the Skills:

sh
npx skills add immurray/gridzen-developer-kit

Install the tagged Python/MCP release from GitHub (Python 3.11+ and Git):

sh
python -m pip install "gridzen-developer-kit[mcp] @ git+https://github.com/immurray/[email protected]"

A PyPI package is not published yet. Use the GitHub release or website download until the release tracker records a verified PyPI URL.

Remote client configuration (conventional JSON; client syntax may vary):

json
{"mcpServers":{"gridzen":{"type":"http","url":"https://gridzen.ai/developers/mcp"}}}

For Claude Code: claude mcp add --transport http gridzen https://gridzen.ai/developers/mcp. For Cursor: add the remote URL in its MCP settings. For portable Agent Plugins, use the packaged plugin.json and mcp.json; the portable transport identifier is streamable-http. Marketplace admission is separate from compatibility.

Original code and Skills: MIT. Research provenance and third-party rights: NOTICE.md. Support: [email protected] .

Marketplace availability

Source, release downloads, the official MCP Registry entry and three Skills.sh pages are public. Docker catalog submission is awaiting review. See the publication ledger for exact status and remaining platform steps.

来源：README.md，提交 f5dd9aa

工具

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版本历史

1
  1. v0.2.0最新Oct 8, 2026