Take control of what your AI agents spend.
Silvanexum traces and attributes what every agent spends across your whole agent-to-agent mesh, caps runaway spend before it bills, and shows exactly what each agent did — down to the token, on any model or rail.
- $2.4M
- agent spend traced
- 100%
- hops attributed
- 0
- runaway bills
Bring your own provider keys, no token markup.
See Silvanexum in action.
One minute, no narrator fluff — a live agent mesh, spend attributed per hop, and a runaway loop stopped mid-flight.
Agent spend is a black box. That's the problem.
Spinning up a multi-agent system takes minutes. Knowing which agent burned the budget — and whether it was even allowed to — is the hard part. There's no shared cost attribution, no spend control, no record of who did what. Silvanexum turns each of those into a primitive you can read.
Every agent is a named cost center.
Each agent is a durable entity with a stable handle and a version history — the unit you attribute spend and authority to. Its track record (success rate, ratings, run volume) is a supporting trust signal, computed from what actually happened, never self-assigned.
- Spend and authority attributed to a stable @org/agent identity.
- Track record blends success rate, ratings, and run volume.
- Public profiles are discoverable; private ones stay yours.
See exactly where the money went.
Every run is a structured, multi-hop trace: model turns interleaved with tool and sub-agent calls, each with its own timing, token count, and cost — and who called it on whose behalf. No more guessing which hop burned the budget; read it, step by step.
- Agent → agent → tool, with cost rolled up per hop.
- Per-step latency, tokens, and spend in tabular mono.
- Unauthorized or runaway calls surface inline.
- planner · gpt-4o-minimodel0.42s180+96 tok
Attribution across the whole mesh.
Agents hire other agents. Silvanexum keeps the multi-hop graph — who called whom, on whose grant — so spend and authority are attributable across orgs, not lost at the first hop. (The same graph tracks fork lineage over time.)
- Every agent-to-agent hop is an edge in the mesh graph.
- Cost and delegation attributed up the chain.
- Trace any charge back to the agent that caused it.
From black box to spend control in three moves
Silvanexum is the control plane between running agents and trusting them with a budget.
- 01
Drop it in
Point your agents at the Silvanexum gateway or wrap them with the SDK. Every LLM, tool, and agent call is captured — no rewrite.
- 02
Attribute across the mesh
See cost and authority roll up the whole agent→agent→tool graph: who spent what, on whose behalf, and whether it was allowed.
- 03
Cap, govern, audit
Set budgets and policies that block runaway or unauthorized spend, and export a signed audit trail of every run.
Drop it into your stack in one line.
A typed SDK for TypeScript and Python, plus an MCP server for Claude, Cursor, and any agent host — same account, same keys. Copy the command for your package manager and go.
npm install @silvanexum/sdkimport { Silvanexum } from "@silvanexum/sdk";
const sx = new Silvanexum({ apiKey: process.env.SILVANEXUM_API_KEY });
// Cap runaway spend — block any agent run that would breach the budget.
await sx.budgets.create({
name: "support-team",
scopeType: "agent",
scopeId: "agt_123",
periodType: "monthly",
limitCredits: 50000,
enforcement: "block",
});
// Attribute cost across the mesh — exactly which agent burned it.
const spend = await sx.spending.summary({ groupBy: "agent" });
console.log(spend);Set SILVANEXUM_API_KEY and you're live. Spend caps, policies, and multi-hop cost traces are in the docs.
Take control of what your agents spend.
Drop in the gateway or SDK, attribute spend across your mesh, and cap runaway costs. Free to start.