Computes a sample size from confidence level, tolerable deviation rate, and expected deviation rate using the standard zero-EDR Poisson attribute-sampling formula (with an expansion factor for nonzero EDR). Item selection is deterministic interval sampling over a declared population hash — no randomness, so any auditor can replay the identical sample from the identical declared inputs. If the tolerable rate is at or below the expected rate, the plan is statistically indefensible and the tool falls back to a full-population census rather than a bad plan.
Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this exact tool, with this sample, and verify the artifact.
Run the AINumbers MCP tool `plan_attribute_sample`. Task: Compute a SOX 404 / ICFR attribute-sampling plan from confidence level, tolerable deviation rate, and expected deviation rate (all policy inputs) using the standard zero-EDR Poisson attribute-sampling formula with an expansion factor for nonzero EDR.
Synthetic sample input (policy_parameters): {"confidence_level":95,"population_size":1000,"tolerable_deviation_rate":5,"expected_deviation_rate":0,"population_hash":"abc123"}
Verify before trusting: call `verify_execution_hash` on mcp.ainumbers.co (https://mcp.ainumbers.co/mcp) with the returned execution_hash.
Return the ledger link https://ledger.ainumbers.co/ so a human can re-verify without contacting us.
PII rule: All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.
Open the tool with the sample prefilled: https://ainumbers.co/chaingraph/art-458-attribute-sampling-plan.html#p=v1.H4sIAAAAAAAA_wGCAH3_eyJjb25maWRlbmNlX2xldmVsIjo5NSwicG9wdWxhdGlvbl9zaXplIjoxMDAwLCJ0b2xlcmFibGVfZGV2aWF0aW9uX3JhdGUiOjUsImV4cGVjdGVkX2RldmlhdGlvbl9yYXRlIjowLCJwb3B1bGF0aW9uX2hhc2giOiJhYmMxMjMifZz2BTqCAAAA