score_credit_model_quantized

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps

Low RISK CLASS

Category Read

Parameters 40 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/score-credit-model-quantized.md

WHAT IT DOES

What score_credit_model_quantized does on Ainumbers Mcp Apps

AI agents call score_credit_model_quantized to retrieve information from Ainumbers Mcp Apps without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`compute`	string	—	Compute mode (v0.4 Compute Binding). "auto" (default) = server for gpu:false nodes with registered kernels; "server" = force server-side; "browser" = always ret
`parent_hashes`	array	—	execution_hash values from upstream ChainGraph AP2 artifacts to chain from (sets chain.parent_hashes in the export).
`parent_tool_ids`	array	—	tool_id values matching parent_hashes, in the same order.
`policy_parameters`	object	—	Input parameters for this tool's decision function. For gpu:false nodes with a registered kernel, these are computed server-side when compute is "auto" or "serv

Parameters from the server's own tool schema.

RISK

Why score_credit_model_quantized is rated Low

Tool computes credit scores from inputs without modifying data, storing results, or executing arbitrary code.

From the tool's definition credit assessment, deterministic compute, inputs not stored, read-only server

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs score_credit_model_quantized safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ainumbers Mcp Apps, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For score_credit_model_quantized, this is the rule to start with:

score_credit_model_quantized Allowed

score_credit_model_quantized is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "score_credit_model_quantized": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ainumbers Mcp Apps, apply this rule, and every score_credit_model_quantized call is checked against it from then on.

FAQ

Questions about score_credit_model_quantized

What does the score_credit_model_quantized tool do? +

Quantized Credit Model Scorer: OpenChainGraph compute node (credit_assessment). Deterministic OpenChainGraph compute node. By default (compute:"auto") inputs are computed server-side on Cloudflare Workers for gpu:false nodes with a registered kernel; compute:"browser" forces client-side execution and returns a browser delegation URL instead. gpu:true nodes always delegate to the browser. Inputs are processed transiently to compute the response and are not stored, logged, or retained. Use synthetic or anonymised inputs only. Exports an AP2 artifact with execution_hash for chain provenance. Open at: https://ainumbers.co/chaingraph/art-348-score-credit-model-quantized.html FV-status (published/proven/still-trusted for this spec): /fv-status/8b5ae30d812cd234cfb6068c4ce2022f01d10f2a358979b0f0d73421e09d2543.json — a snapshot, not a subscription; this receipt verifies offline regardless of whether that file is ever fetched. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.

What parameters does score_credit_model_quantized accept? +

score_credit_model_quantized accepts 4 parameters: compute, parent_hashes, parent_tool_ids, policy_parameters. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on score_credit_model_quantized? +

Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for score_credit_model_quantized: 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 Ainumbers Mcp Apps. Nothing to install.

What risk level is score_credit_model_quantized? +

score_credit_model_quantized is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit score_credit_model_quantized? +

Yes. Add a rate_limit block to the score_credit_model_quantized 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 score_credit_model_quantized completely? +

Set action: deny in the PolicyLayer policy for score_credit_model_quantized. 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 score_credit_model_quantized? +

score_credit_model_quantized is provided by the Ainumbers Mcp Apps MCP server (postoaklabs/ainumbers-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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