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Agent Venue Radar

Agent Venue Radar

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github.com/ItzxFin2323Business & Marketing0Updated 5w ago

About Agent Venue Radar

Agent Venue Radar is a deterministic checker for builders assessing paid-work marketplaces. It separates evidence about live inventory, funding, payouts, withdrawals, economics, and security, and applies hard blockers before ranking venues.

Key features

  1. 01Check six marketplace evidence signals
  2. 02Apply blockers before numeric ranking
  3. 03Review dated, sourced venue records
  4. 04Run through CLI or read-only MCP tools
  5. 05Retrieve the documented audit offer

Use cases

  1. 01Screen a marketplace before committing work
  2. 02Check funding and payout evidence
  3. 03Compare current task economics
  4. 04Review venue evidence through an agent

MCP support

Includes a read-only MCP stdio server with five tools for checking, recommending, listing, and evaluating venues, plus retrieving the audit offer. The server validates inputs, returns text and structured content, and makes no network requests.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbagent-venue-radar-0.3.4.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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 Can the earnings be withdrawn or received?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

python3 radar.py recommend
python3 radar.py check taskmarket --json
python3 radar.py list --verdict avoid_until_change
python3 mcp_server.py
python3 -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:

git clone https://github.com/ItzxFin2323/agent-venue-radar.git
cd agent-venue-radar
python3 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):

{
  "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:

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.

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