Visual Swarm for production agents.
Four-zone Swarm Canvas, step-through debugger, MCP gateway, and open graph import — ship multi-agent work with FuseIQ governance, not a weekend prototype.
Sound familiar?
FuseIQ closes the gap between AI demos and production trust.
- Prototypes don’t ship with approvals, billing, or audit
- No visual debugger for multi-agent production incidents
- MCP tools scattered — no workspace registry
Four steps. One platform.
Org seat (wear/practice) → Instant proof / field job → Outcome Card + /runs → Swarm (console) or publish token → embed run → Agent Wallet receipt
- Step 1
Instant proof
Provable API outcome under a minute — Outcome Card with latency and copyable proof.
- Step 2
Outcome Card
Share a Client Proof Pack with stakeholders before you scale complexity.
- Step 3
Multi-agent when needed
Open Swarm as advanced depth of the same job — goal travels with you.
- Step 4
HITL + Agent Wallet
Human sign-off before publish. Per-run cost on your BYOK keys.
What you get
Same governance on every path — proof, approvals, and cost attribution.
Open graph import
Bring workflow structure into Swarm — then run it on FuseIQ: wallet, HITL, evals.
MCP client + server
Call external MCP tools from Swarm/FuseMind; expose FuseIQ runs/workflows via POST /api/mcp (API key).
Eval Studio gates
Block promote without passing regression scores.
Proof on every run
Instant proof Outcome Cards and Swarm Proof Packs — shareable artifacts your stakeholders can trust. See a sample Outcome Card.