AgentCap

What else is out there, and when you should buy it instead

We are not the only tool for watching what your agents pay. Here is the honest map of the category, and where each type of tool — including ours — actually fits.

One question decides this

Forget feature grids. Answer one thing: do you need the payment blocked, or do you need to know it happened?

If the answer is blocked — a compromised agent, a customer-funds scenario, a hard compliance ceiling — buy an enforcement layer and stop reading comparisons. Nothing observational closes that gap, including us. We watch settled chain data; by the time we see a transfer, the money is already gone.

If the answer is know — magnitude, drift, which agent went over — then enforcement is a large integration bill for a problem you do not have. What you have is an attribution problem, and that is what we built.

The category, by type

CategoryAnswersIntegrationScope
ExplorersWhat is happening on a protocol, across every walletNone — browse a public indexProtocol-wide, not fleet-specific
Policy engines / enforcement layersCan this payment be blocked before it happensSits in the agent's request pathPer-transaction rules, allowlists, kill switches
Cross-rail cost trackersTotal agent cost across model spend and payment rails combinedMultiple connectors to configureBroader than payments alone
Read-only ledgers (this is us)What did my fleet spend, per agent, against a ceiling I setA public wallet address, nothing elseBase and Solana, per-agent attribution

Why teams pick AgentCap

When to reach for something else instead

AgentCap covers the attribution problem well. A few adjacent needs are out of scope by design, and worth knowing about:

If a read-only ledger is what you need

Paste a public address and see every USDC payment on Base and Solana, attributed per agent, against a ceiling you set.

Try the live demo

Last reviewed 2026-09-21.