Seams cuts AI token streams off at 98% of budget

Seams puts model access, cost metering and spend limits behind one request path instead of three separate tools. It cuts a response off mid-stream at 98% of budget, before the bill closes instead of after.

Most teams stitch this together themselves. A gateway like OpenRouter or LiteLLM routes model calls under branded names. An observability layer like Helicone or Portkey tracks usage. A separate billing system enforces the budget. Seams collapses that chain into one request.

The core claim is timing. Cost tracking in a typical setup happens after a response finishes. A team reconciles the overage, issues a refund, or adjusts the next invoice after the fact. Seams meters cost as tokens stream instead, and stops generation once spend hits the 98% mark, so there's nothing to settle afterward.

Seams hasn't published pricing. The launch page doesn't show the metering holding up against a fast completion. Token output could outrun the cost calculation before the cutoff fires, and nothing on the page rules that out.