Check month-end close substantiation in four independent stages from caller-supplied datasets, plus a session receipt. First, reconcile a caller-declared expected-source inventory against observed arrivals, marking each source arrived, missing, late or stale (ART-524). Then recompute subledger-to-GL totals from a caller-supplied posted ledger and a caller-declared chart-of-accounts mapping, diffed against reported trial-balance figures (ART-665). Then match intercompany receivable and payable pairs from caller-declared entity pairs, reporting matched pairs, mismatches with differences, elimination total and unmatched residual (ART-684). Then verify accrual-to-coding-entry linkage from caller-declared entries, reporting unlinked accruals, dangling references and duplicate lineage keys (ART-692). Finally, a session receipt aggregating the run's execution hashes (CRY-05). Each stage uses its own caller-supplied dataset; no stage's output is an input to another stage, and the order is interpretive: a feed that never arrived can make a tie-out pass on incomplete data, which is why freshness precedes the tie-out. Findings are arithmetic findings, never audit opinions or close approvals. Not legal advice.
register_source_arrival_freshness{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "register_source_arrival_freshness",
"arguments": {}
},
"id": 1
}
compute_gl_tieout_recompute{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "compute_gl_tieout_recompute",
"arguments": {}
},
"id": 1
}
compute_intercompany_elimination_netting{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "compute_intercompany_elimination_netting",
"arguments": {}
},
"id": 1
}
verify_close_posting_lineage{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "verify_close_posting_lineage",
"arguments": {}
},
"id": 1
}
aggregate_execution_receipts{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "aggregate_execution_receipts",
"arguments": {}
},
"id": 1
}
Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this whole workflow on the server and check one field that answers a real question.
Question: At month-end, which expected sources never arrived, arrived late, or arrived stale?
Run the AINumbers MCP tool `run_chain` with {"chain":"month-end-close-substantiation-check"} and read `art-524-source-arrival-freshness-register.expected_sources`.
Re-run with `inputs` for `art-524-source-arrival-freshness-register`, reusing the values that result echoed, with `expected_sources` changed so add an expected source with no arrival. Compare the same field.
Verify: call `verify_execution_hash` (https://mcp.ainumbers.co/mcp) with `claimed_hash` set to `composite_execution_hash` and the full `composite_artifact`.
Ledger, for a human re-check: https://ledger.ainumbers.co/
PII rule: send synthetic or anonymised inputs only. The MCP server runs these kernels and logs no payloads.
Chain page: https://ainumbers.co/chaingraph/chains/month-end-close-substantiation-check.html