Datumline Agent Guard

Official registry AI and agents

Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package datumline-agent-guard
Claude Code
claude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "datumline-agent-guard": {
            "command": "uvx",
            "args": [
                "datumline-agent-guard==0.2.0"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. datumline-agent-guard
  2. Install
  3. CLI
  4. Manifest
  5. Verdicts
  6. Library
  7. GitHub Action
  8. MCP server
  9. LangChain
  10. Related
  11. License

datumline-agent-guard

An independent verifier for AI agent work. An agent says a job is COMPLETED; agent-guard checks the artifacts it claims to have produced and returns a verdict. A completion claim with a missing artifact is reported as FALSE_DONE, not as a pass.

Standard library only, no dependencies. It imports nothing from the runtime it audits, so it can contradict that runtime.

Install

pip install datumline-agent-guard

CLI

agent-guard manifest.json          # human-readable receipt
agent-guard manifest.json --json   # machine-readable receipt

Exit code is 0 only on VERIFIED; every other verdict exits 1 (bad input exits 2), so it can gate CI or an agent loop.

Manifest

{
  "job": "WO-123",
  "claimed_status": "COMPLETED",
  "artifacts": [
    {"type": "file", "path": "out/report.md", "min_bytes": 200, "must_contain": ["## Findings"]},
    {"type": "json", "path": "out/feed.json", "required_keys": ["last_marked", "entries"]},
    {"type": "url",  "url": "https://example.com/feed.json", "status": 200, "must_contain": ["last_marked"]},
    {"type": "file", "path": "out/data.parquet", "sha256": "<hex>"}
  ]
}

Relative paths resolve against the current working directory.

Verdicts

VerdictMeaning
VERIFIEDevery artifact is present and passes every check
FAILEDan artifact is present but fails a check, or is absent without a completion claim
FALSE_DONEclaimed_status is COMPLETED / COMPLETE / DONE / VERIFIED and at least one artifact is absent
UNVERIFIABLEthe manifest asserts no artifacts; fail-closed, never green

Library

from datumline_agent_guard import verify, verify_file

receipt = verify({"claimed_status": "COMPLETED", "artifacts": [{"type": "file", "path": "out/report.md"}]})
if receipt["verdict"] != "VERIFIED":
    raise SystemExit(receipt["verdict"])

GitHub Action

Fail a workflow when an agent's "done" doesn't check out:

- uses: datumline/datumline-agent-guard@v0.2.0
  with:
    manifest: agent-output/manifest.json   # what the agent claims it produced
    # fail-on: false-done                  # only fail on FALSE_DONE (default: anything but VERIFIED)

The step installs this package from the action's own source (no network fetch), writes the receipt to the job summary, sets the verdict and receipt outputs, and exits non-zero unless the verdict is VERIFIED. It needs python3 3.9+ on the runner, which GitHub-hosted runners have.

MCP server

The same verifier as an MCP tool, verify_completion_claim, for Claude, ChatGPT, Copilot, Cursor or any MCP client. Standard library only, stdio transport.

{
  "mcpServers": {
    "agent-guard": { "command": "uvx", "args": ["datumline-agent-guard"] }
  }
}

Or pip install datumline-agent-guard and run datumline-agent-guard (alias agent-guard-mcp). The tool takes manifest (object) or manifest_path (string) and returns the receipt; anything other than "verdict": "VERIFIED" means not done. It reads the files and fetches the URLs the manifest names, and sends nothing anywhere else.

LangChain

pip install "datumline-agent-guard[langchain]"
from datumline_agent_guard.langchain_tool import AgentGuardTool

tool = AgentGuardTool()  # name: agent_guard_verify
tool.invoke({"manifest": {"claimed_status": "COMPLETED", "artifacts": [{"type": "file", "path": "out/report.md"}]}})
# -> JSON receipt; anything other than "verdict": "VERIFIED" means not done

Give it to an agent as a tool, or call it yourself before accepting the agent's "done". It also takes manifest_path instead of manifest. It passes LangChain's standard tool tests (langchain-tests). Requires Python 3.10+; the core package needs only 3.9 and has no dependencies.

The same verifier ships inside the free, MIT-licensed Receipted Operator Claude Code plugin, which adds a receipt ledger, truthful statuses and a hook that refuses unreceipted "done". Datumline also publishes paid method kits at datumlinehq.gumroad.com.

License

MIT

Frequently asked questions

What is Datumline Agent Guard?

Checks an AI agent's 'done' against the files and URLs it claims. Missing = FALSE_DONE.

How do I install Datumline Agent Guard?

It runs on your machine. In Claude Code: claude mcp add datumline-agent-guard -- uvx datumline-agent-guard==0.2.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Datumline Agent Guard need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Datumline Agent Guard open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Datumline Agent Guard?

It is published by datumline. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.