No blind retries
Same idempotency key and payload returns the same transaction. Changed payloads conflict instead of duplicating money movement.
Category-defining execution control - Paystack, Solana, Solana USDT
The correctness layer before money moves.
Azums turns API and AI-agent financial requests into controlled, durable, auditable execution across Paystack, Solana, and Solana USDT. It prevents blind retries, unsafe agent authority, fake success states, and missing proof.
No false success Approval gates Receipts and proof
Sources
APIAI Agent
No fake success states
API key
Agent
Paystack
Receipt
Azums
correctness layer
01
API / AI request
payment, transfer, refund
02
Policy and approval
limits, risk, one-use permission
03
Durable dispatch
lease, idempotency, provider reference
04
Truth and proof
receipt, callback, reconciliation
Durable state
Provider truth
Approval gate
What Azums is
A financial execution control plane, not another payment button.
Payment providers move money. Agent frameworks ask tools to act. Webhook tools deliver events. Azums sits above them as the durable correctness boundary that decides what is allowed, what executed, what proof exists, and what must be investigated.
API apps
AI agents
AI agents
Azums
policy, approval, idempotency, dispatch, proof
policy, approval, idempotency, dispatch, proof
Paystack
Solana / USDT
Solana / USDT
Payment gateways
Usually: Move money on one rail
Azums: Azums adds policy, approval, idempotency, receipts, reconciliation, and recovery.
Agent frameworks
Usually: Let AI tools request actions
Azums: Azums adds authority boundaries before agents can create financial consequences.
Webhook tools
Usually: Deliver events
Azums: Azums connects delivery evidence to transaction truth and exceptions.
Logs and dashboards
Usually: Show traces after the fact
Azums: Azums gives operators business-level financial truth and next actions.
The problem
Financial execution is not clean request-response logic.
Providers can accept a request while your worker crashes. Webhooks can arrive late or twice. Transfers and refunds can stay pending. Blockchain submissions are not final truth. AI agents can ask for actions outside policy. Azums is built for those messy states.
A timeout does not prove failure.
A submitted transaction is not final truth.
An AI agent with an API key is not enough authority.
Why we win
Azums is strongest where ordinary systems are weakest.
The hard part is not starting a payment, refund, transfer, or transaction. The hard part is proving what happened and recovering safely when the world is messy.
Approvals before execution
High-risk API or AI-agent actions pause before provider submission. Approval creates a one-use temporary permission.
Unknown stays unknown
Azums does not turn provider-pending, submitted, or unknown outcomes into fake success states.
Proof after execution
Receipts, callback evidence, provider verification, chain verification, and reconciliation keep every lifecycle auditable.
Lifecycle
One lifecycle for API, AI-agent, and provider-event actions.
Every rail passes through the same control sequence: identity, idempotency, policy, approval, one-use permissions, provider or chain truth, receipts, callbacks, reconciliation, and exceptions.
01Request received
02Identity and tenant verified
03Idempotency checked
04Policy evaluated
05Approval requested when needed
06One-use permission created
07Dispatch committed durably
08Execution submitted once
09Provider or chain truth tracked
10Receipt created from final truth
11Callback delivered
12Reconciliation checked
13Exception opened if truth disagrees
Launch rails
Focused rails. Deep correctness before broad adapter count.
Paystack
Payments, transfers, refunds, verification
Solana
Customer-signed transaction submission
Solana USDT
Customer-signed USDT transfers on Solana
Customer control room
Operators see what happened, what needs attention, and what proof exists.
The console is organized around transactions, approvals, receipts, exceptions, adapters, API keys, callbacks, agents, policies, team, usage, settings, and diagnostics using business language instead of backend internals.
Receipts
Canonical proof for final execution truth.
Callbacks
Delivery tracked separately from execution truth.
Exceptions
Clear investigation paths when reality disagrees.
Approvals
Business context before high-risk action execution.
Who it is for
For teams operating at the boundary between automation and money movement.
Businesses and operators
A control room for approvals, transactions, receipts, callbacks, reconciliation, exceptions, and audit evidence.
API and AI-agent teams
A safe gateway for automated financial actions without giving agents direct unlimited access to payment rails or wallets.
Engineering teams
A future SDK and workflow layer for teams building money-moving products across Web2 and Web3 rails.
Start with controlled test-mode execution.
Connect API or AI-agent requests, configure policies and callbacks, then review the full transaction lifecycle before live execution is enabled by platform administration.