Medium Risk

buy_credits

Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base....

Part of the VARRD — Statistically Validated Trading Edges + AI Research Engine server.

buy_credits can modify VARRD — Statistically Validated Trading Edges + AI Research Engine data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use buy_credits to create or modify resources in VARRD — Statistically Validated Trading Edges + AI Research Engine. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call buy_credits repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach VARRD — Statistically Validated Trading Edges + AI Research Engine.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "buy_credits": {
      "limits": [
        {
          "counter": "buy_credits_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full VARRD — Statistically Validated Trading Edges + AI Research Engine policy for all 9 tools.

Get this rule live on your own VARRD — Statistically Validated Trading Edges + AI Research Engine server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 9 tools →

These attack patterns abuse exactly the kind of access buy_credits gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so buy_credits only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the buy_credits tool do? +

Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.. It is categorised as a Write tool in the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on buy_credits? +

Register the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP server in PolicyLayer and add a rule for buy_credits: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches VARRD — Statistically Validated Trading Edges + AI Research Engine. Nothing to install.

What risk level is buy_credits? +

buy_credits is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit buy_credits? +

Yes. Add a rate_limit block to the buy_credits rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block buy_credits completely? +

Set action: deny in the PolicyLayer policy for buy_credits. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides buy_credits? +

buy_credits is provided by the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP server (https://app.varrd.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every VARRD — Statistically Validated Trading Edges + AI Research Engine tool call.

Deterministic rules across all 9 VARRD — Statistically Validated Trading Edges + AI Research Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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