Platform / Billing
Own the meter, margin, and limit.
Measure real token usage across providers, set your own per-model pricing, fund customer credits, and refuse work before a balance can be overshot.
Ledger settlement
Hold the maximum. Settle the actual.
The engine reserves the highest possible call cost before provider activity, then records measured usage and releases the difference.
Ledger balanced
Reserved
$0.0864
Actual usage
$0.0317
Released
$0.0547
What changes
Turn model usage into a controlled product.
Deeplinq holds the maximum cost before a call, settles against actual usage, and keeps the credit history in an append-only ledger.
- 01
Price on your terms
Set exact input and output rates plus margin per model. Reprice active models without redeploying the engine.
- 02
Stop before overspend
Reserve the maximum cost before provider activity. Insufficient balance returns a clear refusal before cost is incurred.
- 03
Reconcile the record
Correlate requests, measured tokens, ledger entries, and provider projections through stable identifiers.
Commercial control
Billing is part of the runtime, not an invoice afterthought.
Model access and money are evaluated together. That makes prepaid AI products, local payment flows, and customer-specific consumption views possible.
- Append-only credit ledger
- Verified payment or operator funding
- Per-organization usage and model breakdowns
Operational proof
The projection and ledger can be reconciled.
A built-in reconciliation path compares request usage, priced projections, and ledger movement so finance and platform teams share one record.
- Exact decimal parsing into MicroUSD
- Idempotent funding requests
- Month-to-date console views by organization and model
Next step
Put the control plane in front of your first production workflow.
We will map your models, data boundaries, approval points, and evidence requirements in one working session.