Blog

• Wallet Rotation Quietly Breaks Your Spend History

  9/25/2026

  Rotating agent wallets is good key hygiene, but every new address resets your spend history and your caps unless you treat a group of addresses as one budget.

• The risk is silent wallet spend, not the payment protocol

  9/24/2026

  Most agent wallet incidents aren't protocol failures. They're money leaving a wallet while nobody watches. This post walks through a minimal spend-cap and alert setup that an engineer can check line by line: block ranges, cursors, reconciliation, and alerts when the watcher itself fails.

• Why agent wallet spend tracking goes wrong: six failure modes on Base and Solana

  9/23/2026

  Most agent spend numbers go wrong for mechanical reasons: the wrong address is watched, the wrong token is counted, or the balance is sampled instead of the transfers being read. Below are six ways teams running fleets of AI agent wallets end up with numbers they can't trust, and how to check for each one. By the GetAgentCap team.

• Your agent costs are "blended" for a reason generic trackers can't fix

  9/21/2026

  A developer on Reddit described the exact failure mode we built AgentCap around: run more than one or two agents and costs get blended, and you end up guessing which workflow is the culprit. The fix people reach for first — a token-cost dashboard — solves that for API-metered spend. It does nothing for an agent that pays another agent in USDC, because there's no API call to meter in the first place.

• On-chain settlement drift is not an LLM cost-tracking problem

  9/21/2026

  Token-cost dashboards answer "how much did this model call cost." That's a metering question with one source of truth: the provider's usage API. Settlement drift on an agent wallet — a double-charge from a retried x402 payment, a settlement that never lands, a transfer attributed to the wrong agent — is a reconciliation question, with two independent sources of truth that have to agree: what the chain recorded, and what should have happened. Those are different problems, and a tool built for one doesn't do the other by accident.

• Your agent didn't go rogue. It paid for the same call 340 times.

  9/20/2026

  Almost every runaway-spend story I've read has the same beat in the middle: the author says the agent "went rogue," or "hallucinated a loop," or some other word that makes it sound like the model decided something. It usually didn't. The most common way an agent wallet drains is boring and mechanical — a paid request succeeded, the response didn't come back cleanly, the retry logic did exactly what retry logic does, and the chain happily settled the same payment again. And again. The model was fine. The plumbing wasn't.

• How to catch a runaway AI agent before the bill does

  9/20/2026

  There's a version of agent cost monitoring that's really just accounting: it tells you accurately, in arrears, how much you lost. That's useful for a finance team and useless at 3am. This post is about the other kind — the signals that fire while the money is still leaving, roughly in the order they become available to you, and what you can wire up yourself without any tool at all.

• Everyone is watching what your model costs. Nobody is watching what your agent spends.

  9/20/2026

  Look at the AI cost tooling landscape and you'll notice almost all of it is pointed at one number: tokens in, tokens out, dollars per model per day. That's a real problem and there are good tools solving it. But there's a second budget sitting right next to it that almost nothing is watching — the money the agent itself spends downstream, paying for the things it decided it needed. Those are different budgets with different failure modes, and only one of them has an industry.

• x402 spend tracking in 2026: what actually exists, and which one you want

  9/20/2026

  If you are running agents that pay for things over x402 and you have gone looking for a way to watch that money, you have probably found the same scattered set of tools I did and struggled to tell them apart. They describe themselves in nearly identical language. They are not the same product. Here is the honest map, including the ones that compete with us.

• AI agent budget alerts vs enforcement: do you need a policy engine or just visibility?

  9/20/2026

  Someone in your fleet spent money you did not expect, you searched for a fix, and now you are staring at two kinds of product that both promise to solve it. One blocks payments. One tells you about them. They cost very different amounts of your time and they fix different problems. Here is how to tell which one you are actually shopping for.