AI FinOps
ACP vs AP2: Two Agentic Commerce Protocols Compared
ACP and AP2 both let AI agents complete purchases, but through different mechanisms and governance models. What each one actually does, as of mid-2026.
AI FinOps
AI FinOps
Attribute, budget, and cap the cost of AI agents, tokens, and tool calls.
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AI FinOps: The Complete Guide to Controlling AI Agent Costs
Learn how to attribute, budget, forecast, and enforce AI agent spend across your organization — the complete FinOps discipline for agentic AI.
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AI FinOps
AP2 Explained: How Google's Agent Payments Protocol Works
AP2 authorizes AI agent purchases through signed Mandates, not a single API call. Version, governance, and mechanism as of April 2026.
AI FinOps
Anomaly Detection on Agent Spend
Static budgets catch the disaster and miss the drift. Learn which spend signals are worth alerting on, why agents are unusually easy to baseline, and how to avoid an alert channel nobody reads.
AI FinOps
Denial of Wallet: The Cost Attack Against LLM Applications
Denial of wallet attacks do not take your service down — they run up the bill until you take it down yourself. Here is how the attack works against agentic systems and which controls actually stop it.
AI FinOps
Budgets vs Rate Limits: Controlling Agent Consumption
Spend caps and request throttling are different levers for controlling runaway AI agents. Learn when each applies, how they compose, and why you need both.
AI FinOps
Model Routing: Cost and Quality Trade-offs
Sending every request to your best model is the most expensive way to run an agent. Learn the routing strategies that hold quality, the ones that quietly cost more, and how routing becomes a governance control.
AI FinOps
AI Agent Cost Benchmarks 2026: What Agents Really Cost
What AI agents cost in 2026: public model list prices, worked per-task and per-month scenarios, and the budget heuristics that follow.
AI FinOps
How to Set Budgets for AI Agents
Set enforceable AI agent budgets with reservation-based enforcement, graduated thresholds, and clear attribution — before overruns reach your invoice.
AI FinOps
Spend Attribution: Showback and Chargeback for AI Agents
Provider invoices tell you what you spent, not who spent it. Learn the attribution dimensions that make showback work, why they must come from the session, and how to allocate shared costs honestly.
AI FinOps
Threat Model: Runaway Agent Spend
Loop-and-burn failures drain AI budgets fast. Learn the blast radius, five root conditions, and the layered controls that stop runaway spend before the invoice.
AI FinOps
The Cost-Control Architecture for AI Agents: Budgets and Quotas
The full cost-control architecture for AI agents: how budgets, quotas, rate limits, and reservation-based enforcement fit together into one system.
AI FinOps
Token Usage Forecasting and Capacity Planning
Agent spend is forecastable if you model it as volume times cost per task rather than extrapolating a total. Learn the decomposition, the non-linearities that break naive projections, and what to plan for.
AI FinOps
Prompt Caching: Cutting Agent Inference Cost
Agent loops resend the same context on every step, which is exactly what prompt caching is for. Learn how to structure prompts for cache hits, what invalidates them, and the security considerations.
AI FinOps
Credit Wallets for Agent Payments
Agents that transact need a spend mechanism with reservations, atomicity, and idempotency. Learn the ledger design that makes agent payments auditable and the concurrency bugs that make them wrong.
AI FinOps
Cost Control for LLM Applications
Where LLM costs hide in agentic applications, how to attribute them per agent and run, and the reservation-based enforcement that stops overspend at dispatch.
AI FinOps
FinOps for AI Agents: Controlling Token and Tool Costs
A practical FinOps loop for agentic AI: attribute token and tool costs, set multi-level budgets, trigger alerts early, and enforce hard spend limits.
AI FinOps
Reliable Billing: Stripe Webhooks, Reconciliation, and Dunning
Signed webhook verification, idempotent handlers, reconciliation, and a dunning state machine are the four layers that keep billing state correct.
AI FinOps
Tracking Per-Connection AI Usage and Cost
Per-connection usage tracking attributes every AI request and dollar to its source, enabling accurate chargebacks, capacity planning, and anomaly detection.
AI FinOps
Revenue Monitoring and Payouts for AI Marketplaces
How AI marketplaces track MRR, ARR, and per-agent earnings, and manage partner payouts — the outbound money flow that billing dashboards miss.
AI FinOps
Hard Spend Caps in Praesidia: How Budget Policies Work
How Praesidia's budget policies enforce hard spend caps: scoped policies, graduated threshold actions, and reservation accounting that stops overruns.
AI FinOps
Credits and Cost Monitoring for Agent Spend
A prepaid credit ledger with per-agent usage records gives you real-time visibility into AI spend and a hard gate that stops agents before they overspend.
AI FinOps
Subscriptions, Invoices, and Contracts for AI Platforms
How subscription plans, metered usage, invoices, and enterprise contracts fit together so AI token and tool costs map cleanly to billing.