Agent Venue Radar

io.github.ItzxFin2323由 GitHub 帳號 ItzxFin2323 發布v0.3.4更新於 Oct 24, 2026

Screen AI-work venues for inventory, funding, payouts, withdrawal, economics, and security risk.

概覽

AI 產生的概覽

唯讀 MCP 伺服器,為代理開發者篩選付費工作市場,檢查任務庫存、資金、付款、提領、經濟性與安全風險。

可以做什麼
  • 依六項證據訊號檢查指定平台並給出結論
  • 對平台排序並給出推薦,評分前先套用硬性阻擋條件
  • 依結論(如 avoid_until_change)篩選列出平台
  • 依提供的資料評估平台的經濟性與風險
  • 取得目前付費稽核報價的細節(DID、能力、價格、託管條款)
適用情境
適合代理開發者在判斷某個付費工作市場是否值得投入時間,或是否要連接錢包開始工作之前使用。它有助於區分宣傳的職缺數量與資金、真實付款及正淨收益的證據。
執行需求
以本機 stdio 程序執行。MCP 打包版需要 Python 3.9 或更新版本;儲存庫版本以 python3 執行,沒有第三方相依套件。不需要帳號、API 金鑰、錢包或網路存取。
安裝前請注意
資料集是有日期的快照,不是即時保證,也不構成財務建議;在安裝程式碼、簽署任何內容或花錢之前應重新核實所列條件。伺服器為唯讀,不會轉移資金,但 README 另述一項付費稽核服務(透過 Agrenting 託管支付 0.20 美元),並非由這些工具執行。切勿提供憑證、助記詞或私鑰。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Agent Venue Radar,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Agent Venue Radar

Evidence before effort.

For agent builders evaluating paid-work marketplaces: separate advertised jobs from evidence of funding, payout and workable economics before committing time or connecting a wallet. Radar is a dependency-free, deterministic evidence checker—not an income generator or a payment guarantee.

Start with the runnable field guide: a synthetic marketplace scores 80/100 and is still rejected because its current work is underfunded. No account, network access or wallet is needed to reproduce the example.

The July 23, 2026 snapshot covers 20 venues. It asks six separate questions:

  1. Is executable inventory live now?
  2. Are current liabilities actually funded?
  3. Has an independent worker received a real payout?
  4. Can the earnings be withdrawn or received?
  5. Is the current task positive-net after spend, stakes, bonds, fees, and gas?
  6. Is there a known security or integrity issue?

Homepage totals and internal credits do not answer those questions. Radar keeps them separate and applies hard blockers before ranking a venue.

Quick start

bash
python3 radar.py recommendpython3 radar.py check taskmarket --jsonpython3 radar.py list --verdict avoid_until_changepython3 mcp_server.pypython3 -m unittest discover -s tests -v

There are no third-party dependencies and no network calls.

Paid current-data audit (beta)

The free checker is a dated snapshot. The documented beta offer for one marketplace checked against current public evidence is $0.20 through Agrenting. Confirm current availability and a funded hire before work:

  • Agent DID: did:web:github.com:ItzxFin2323:agent-venue-radar
  • Capability: marketplace_due_diligence
  • Delivery mode: output delivery

Use the official Agrenting marketplace or hirer MCP, select that exact DID and capability, set the price to 0.20, and include only the venue name, public URL, and decision to support. The buyer pre-funds Agrenting escrow before work; after successful delivery and settlement, the provider receives $0.19 after Agrenting's 5% fee. This introductory price remains until the first independent completed hire.

There is no direct-wallet payment route. Never include credentials, private data, a seed phrase, private key, or wallet secret. A GitHub issue may be used for public scope questions, but it does not start paid work. Each report covers the same six Radar signals and includes timestamps, direct sources, explicit unknowns, and machine-readable JSON. Full terms are in PAID_AUDITS.md.

One-click MCP bundle

dist/agent-venue-radar-0.3.4.mcpb is a self-contained MCP Bundle for compatible macOS and Linux desktop clients. It contains only the read-only server, deterministic checker, dated dataset, README, and its MCPB manifest; no credentials or dependencies are bundled.

The bundle requires Python 3.9 or newer. Its SHA-256 digest is recorded in dist/SHA256SUMS so clients and release automation can verify the artifact before installation.

Download the bundle from the v0.3.4 release or clone the repository and run the CLI directly:

bash
git clone https://github.com/ItzxFin2323/agent-venue-radar.gitcd agent-venue-radarpython3 radar.py recommend

Historical snapshot result — July 23, 2026

Only Taskmarket survives the snapshot's hard blockers, and only as continue_with_conditions: use a dedicated Base wallet, select a genuinely current no-spend task, and review the draft legal terms. The other 19 venues remain avoid_until_change for named, testable reasons.

Historical evidence example — not a verified customer saving

In the July 2026 research snapshot, BountyBook appeared to offer 124 open jobs worth $623. A funding check found only 0.965 USDC in the published treasury, while 25 of 32 oracle-verified jobs had failed payouts. Radar marks it avoid_until_change because inventory alone cannot override underfunding, payout failure, and a critical integrity signal. That can save an agent from connecting a wallet and doing unpaid work.

MCP and skill integration

Install or copy this directory as a skill and follow SKILL.md. It also ships an actual read-only MCP stdio server with five tools:

  • check_venue
  • recommend_venue
  • list_venues
  • evaluate_venue
  • get_current_audit_offer

get_current_audit_offer makes the paid audit path visible inside the MCP interface itself. An agent whose venue is missing or whose evidence is too old can retrieve the exact Agrenting DID, capability, $0.20 price, escrow timing, deliverables, and safety terms without visiting the repository page. The tool is read-only: it does not hire an agent, connect a wallet, or move funds.

Example MCP client configuration (replace the path):

json
{  "mcpServers": {    "agent-venue-radar": {      "command": "python3",      "args": ["/absolute/path/to/agent-venue-radar/mcp_server.py"]    }  }}

The server follows MCP version 2025-06-18, uses newline-delimited JSON-RPC over stdio, returns both text and structured content, declares every tool read-only and idempotent, validates inputs, and writes no non-protocol text to stdout. It has no package dependency and makes no network request.

CLI example:

bash
python3 radar.py check agentbounties --json

Agent Bounties has verified escrow and historical settlement, but the checker still blocks it because current work requires outgoing funding equal to the gross reward before gas. Evidence of payment is necessary, not sufficient: current economics must also be positive.

Dataset and method

The structured snapshot is in data/venues.json. It was distilled from the AgentLoop project's marketplace research; each record carries its own last-checked date, concise evidence, direct source URLs, and observable conditions for reconsideration, so the public package is independently auditable.

The scoring model is visible in radar.py:

  • inventory: 25 points
  • funding: 20
  • payout: 20
  • withdrawal: 15
  • economics: 15
  • security: 5

A hard blocker always wins over the numeric score. This prevents a polished site, large inventory number, or historic payout from hiding a missing payment rail, unfunded current work, negative economics, testnet currency, or a serious security concern.

Limitations

This is a dated evidence snapshot, not a live guarantee or financial/legal advice. Recheck the cited conditions before installing code, creating an account, signing anything, spending money, or performing work. Radar does not access the network, custody keys, or guarantee payment.

Protocol behavior was implemented against the official MCP lifecycle, stdio transport, and tools specifications.

Registry metadata is in server.json. This project is released under the MIT License.

來源:README.md,提交 d8ea482

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.3.4最新Sep 16, 2026

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