Settlement-Fail Predictor: OpenChainGraph compute node (model_governance). Runs deterministically in-browser; zero PII, zero egress. Exports an AP2 artifact with execution_hash for chain provenance. Consumes upstream artifacts from: art-77-t1-settlement-readiness-diagnostic, art-80-ssi-conformanc...
AI agents call predict_settlement_fail to retrieve information from Ainumbers Mcp Apps without modifying anything — 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.
The tool is a deterministic, in-browser predictor that consumes upstream artifacts and produces analysis outputs (KPIs, hashes). It does not move money, modify records, or execute external operations — it reads/analyzes data and exports a diagnostic artifact. The AP2 artifact with execution_hash is a provenance record, not a financial transaction.
From the tool's definition Runs deterministically in-browser; zero PII, zero egress. Read-only, no auth, zero PII (server description). 'Predictor' — analyzes/predicts settlement fail probability without executing transactions or moving funds.
Attacks that exploit this kind of access
Settlement-Fail Predictor: OpenChainGraph compute node (model_governance). Runs deterministically in-browser; zero PII, zero egress. 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. It is categorised as a Read tool in the Ainumbers Mcp Apps MCP Server, which means it retrieves data without modifying state.
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.
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.
predict_settlement_fail is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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.
predict_settlement_fail is one line of Ainumbers Mcp Apps's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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