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predict_settlement_fail

Settlement-Fail Predictor: OpenChainGraph compute node (model_governance). 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 ...

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/predict-settlement-fail.md

What predict_settlement_fail does on Ainumbers Mcp Apps

AI agents call predict_settlement_fail 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.

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 predict_settlement_fail is rated Low

Predicts settlement failures using transient computation with no persistent side effects or data modification.

From the tool's definition Settlement-Fail Predictor, deterministic compute node, inputs processed transiently, no storage

Questions about predict_settlement_fail

What does the predict_settlement_fail tool do? +

Settlement-Fail Predictor: OpenChainGraph compute node (model_governance). 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-77-t1-settlement-readiness-diagnostic, art-80-ssi-conformance-checker. Output feeds: art-84-settlement-efficiency-kpi, cry-04-merkle-batch-verifier. Open at: https://ainumbers.co/chaingraph/art-79-settlement-fail-predictor.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 predict_settlement_fail accept? +

predict_settlement_fail 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 predict_settlement_fail? +

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

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

Can I rate-limit predict_settlement_fail? +

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

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

predict_settlement_fail 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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