Know what your AI agents paid for.Prove what came back.
MachinaLedger links each machine payment to the request, policy and observed service response — then turns that evidence into deterministic records your finance team can reconcile and your accountant or auditor can verify.
A wallet proves money moved. Finance needs to know why — and what came back.
MachinaLedger binds agent intent, authority, policy, request, payment and observed delivery into one deterministic economic history. The result can be reconciled, reviewed and independently checked instead of reconstructed from scattered logs.
Paid — but did the agent get what it paid for?
An autonomous agent buys an API call, data or compute. The payment settles. The provider returns an error, empty payload or unexpected response. The wallet still shows a successful transfer. MachinaLedger keeps the request, payment and observed response tied together so finance can investigate the exception instead of guessing from separate systems.
Agent → paid API → unexpected outcome
Payment evidence alone says “paid.” Application logs alone say “request happened.” MachinaLedger preserves the economic context that connects the two.
1. Payment
The agent pays through x402 or another supported rail.
2. Delivery evidence
The observed service response stays bound to the transaction context.
3. Finance record
A deterministic Machine Economic Event becomes the basis for reconciliation and downstream accounting.
4. Review
Accountants and auditors can inspect the evidence and verify signed receipt integrity independently.
Proof over confidence.
Machine commerce needs a memory that cannot quietly rewrite itself.
Keep the exact bytes and provenance that reached the verifier.
Derive Machine Economic Events with versioned rules, not model confidence.
Signed Economic Receipts can be checked outside mutable application state.
From autonomous spend to records people can actually close the books with.
MachinaLedger is not another wallet dashboard. It creates the evidence and deterministic economic context needed between machine payment rails and finance systems.
Reconcile agent spend
Connect payment, request, service outcome and agent context instead of matching transfers manually.
Prepare accounting evidence
Normalize machine commerce into deterministic economic records that can feed ledger, invoice and ERP workflows.
Support audit and disputes
Keep replayable evidence and signed receipts available for independent review without giving MachinaLedger custody of funds.
The verification layer underneath the financial record.
Protocol-neutral economic records derived from retained evidence.
Bind content, issuer scope, organization, key identity and issuance time.
A valid signature proves authenticity relative to a key — not objective truth.
Readable by people. Discoverable by machines.
For AI agents, the site exposes explicit versioned discovery surfaces instead of asking a crawler to infer capability from marketing copy.
GET /.well-known/machinaledger.json GET /status.json GET /capabilities.json GET /protocols.json GET /roadmap.json GET /openapi.yaml GET /llms.txt
Verification boundary: MachinaLedger does not claim that a service response is objectively true. It verifies evidence, deterministic checks, commitments, signatures and explicit trust policy.
Running autonomous agents that spend money?
We are opening a small number of integration slots for teams that need to reconcile agent payments with delivered APIs, data or compute. Start with the sandbox and public proof while private-beta onboarding opens.