Close the Attribution
Void.
Stop flying blind. Mintry Fabric is the transport-layer interceptor that gives you real-time metering and budget enforcement for every AI agent you run.
Three lines of code to prevent a five-figure mistake.
Agent-Blindness
"You know what you spent on OpenAI this month. But do you know which specific background task burned $200 while you were asleep? "
Modern AI stacks run dozens of background agents — summarizers, classifiers, embedders, evaluators. Standard cloud billing collapses all of this into a single API invoice. By the time you see the Mystery Spike, it already happened. The damage is done.
Mintry Fabric flips the model from reactive alarm to proactive enforcement. Before the first token is sent, the Fabric already knows the budget.
| Feature | Standard Billing | Mintry Fabric |
|---|---|---|
| Visibility | Monthly Invoice | Real-time SQLite Ledger |
| Enforcement | Email Alerts (Too late) | Transport-Layer Kill-Switch |
| Attribution | "API-Global" | Per-Agent / Per-Task |
| Cost Control | Post-hoc analysis | Proactive Mandate Caps |
| Deployment | Native billing portal | Zero code changes needed |
The Logic Fabric
The Fabric is not a wrapper. It is not middleware you configure. It is a network-layer presence that watches everything — silently, instantly, without asking your agents to change their behaviour.
Transport-Layer Interception
No code changes required. Mintry sits at the network layer to watch every packet, every token, and every cent in real-time.
High-Performance Ledger
Powered by SQLite with WAL mode. Every token, every cost event is logged with zero-latency. No-GIL ready, built for the 2026 Python stack.
Universal Mandates
Assign a precise Hard Cap to every task, agent, or agent-group. When the counter hits the ceiling, the Fabric cuts the connection — not a warning email, not a Slack alert: a real kill-switch.
Real-Time Attribution
Every cost event is stamped with the task ID, agent ID, model, and timestamp. Your finance team gets a ledger. Your engineers get a debugger. Everyone wins.
Three lines.
Five-figure
protection.
A single mintry.init() call attaches the Fabric to your transport layer. Then define your mandate. That's it. Every agent in scope is now fiscally responsible.
When a mandate is breached, you get a clean PermissionError you can handle — not a surprise invoice you can't.
import mintry
mintry.init()
# 2. Define a hard-cap mandate for any task
with mintry.mandate("task:nightly_summarizer", cap=50.00):
# 3. Your existing code — unchanged
try:
result = run_summarizer(documents)
print(f"Done: {result}")
except mintry.MintryMandateExceeded as e:
# Fabric killed the task. Budget protected.
print(f"Budget enforced: {e.spent} / $50.00")
 alert_on_call(e)
# That's it. Three lines. All agents, all models.
One Fabric./Any Language.
Whether you build in Python, Node.js, Java, or Go — Mintry's sidecar proxy architecture ensures your entire agentic fleet is fiscally responsible. One deployment. Total coverage.
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