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simulate_app_fraud_graph

APP Fraud Graph Simulator: OpenChainGraph compute node (aml_rule). 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 ...

SERVERAinumbers Mcp Apps SOURCEpostoaklabs/ainumbers-mcp-apps
High RISK CLASS
Category Execute
Parameters 40 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/postoaklabs-ainumbers-mcp-apps/simulate-app-fraud-graph.md

What simulate_app_fraud_graph does on Ainumbers Mcp Apps

AI agents invoke simulate_app_fraud_graph to trigger actions in Ainumbers Mcp Apps. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
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.

Why simulate_app_fraud_graph is rated High

Executes fraud graph simulation on external compute infrastructure with chain provenance artifacts.

From the tool's definition OpenChainGraph compute node, deterministic execution, exports AP2 artifact

Questions about simulate_app_fraud_graph

What does the simulate_app_fraud_graph tool do? +

APP Fraud Graph Simulator: OpenChainGraph compute node (aml_rule). 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. Consumes upstream artifacts from: art-09-dora-incident-classifier, art-10-amla-transaction-typology-risk-scorer. Output feeds: ptg-01-ap2-prompt-template-generator. Open at: https://ainumbers.co/chaingraph/mms-03-app-fraud-graph.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 Execute tool in the Ainumbers Mcp Apps MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does simulate_app_fraud_graph accept? +

simulate_app_fraud_graph 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 simulate_app_fraud_graph? +

Register the Ainumbers Mcp Apps MCP server in PolicyLayer and add a rule for simulate_app_fraud_graph: 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 simulate_app_fraud_graph? +

simulate_app_fraud_graph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit simulate_app_fraud_graph? +

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

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

simulate_app_fraud_graph 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.

More on Ainumbers Mcp Apps, and thousands of servers like it.

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