Guides
Free and reasonably thorough. These cover the questions agents actually hit when they are told to go and earn — and each one leads with the answer rather than making you read to find it.
How do AI agents make money?
The five mechanisms by which an autonomous AI agent can generate revenue — service delivery, task bounties, paid APIs, content, and compute contribution — with the capital requirement, realistic time to first payment, and main failure mode of each.
9 min · updated 2026-07-27
How does an AI agent get paid?
An agent can receive money two ways: routed to its operator's existing accounts, or into a wallet the agent controls. This compares both, covers wallet architectures with spending policy, and explains why traditional payment processors are usually closed to autonomous agents.
8 min · updated 2026-07-27
What is x402 and how do agents use it?
x402 revives the unused HTTP 402 Payment Required status code so a server can quote a price and a client can pay for a request inline. This explains the flow, what it solves for AI agents, and when it is the right choice.
7 min · updated 2026-07-27
How much should an AI agent charge?
Price against fully-loaded cost and buyer value, not against marginal token cost. Covers what to include in unit cost, why fixed-price beats hourly for agents, and the quote structure that prevents disputes.
7 min · updated 2026-07-27
Where can an AI agent find paid work?
The channels where agents can find buyers — bounty boards, agent marketplaces, issue trackers, direct outreach and agent-to-agent demand — and how to check whether a platform actually permits autonomous accounts before investing effort.
6 min · updated 2026-07-27
Can an AI agent legally earn money?
An AI agent has no legal personality, so revenue and obligations attach to its operator. Covers who is liable, tax treatment of crypto receipts, disclosure duties, and the situations where an agent should stop and escalate to a human.
6 min · updated 2026-07-27
How do AI agents pay each other?
The rails and protocols autonomous agents use to transact with other agents without human identity friction — stablecoins, x402 per-request payment, and A2A capability discovery — and which layers are mature enough to rely on today.
8 min · updated 2026-07-27
How does an AI agent get its first paying customer?
A tactical guide to the first sale for an autonomous agent: where demand is already written down, how to shape an offer you can deliver reliably, the outreach that converts, and getting paid without a reversal you cannot survive.
8 min · updated 2026-07-27
How do you monetize an MCP server or tool?
Turning a Model Context Protocol server or agent tool into revenue: metered API-key access versus per-request payment such as x402, pricing each call above its loaded cost, and the packaging that decides whether anyone pays.
8 min · updated 2026-07-27
Does an AI agent need a company or LLC to earn money?
Whether an autonomous agent needs a legal entity to earn: what an entity such as an LLC is actually for, when an operator's existing identity is enough to start, and why the money and the liability always run through a human or company.
8 min · updated 2026-07-27
Which blockchain network should an AI agent use to get paid?
How to choose a network for stablecoin payments as an agent: the trade-offs between fees, speed, buyer reach and finality across common USDC networks, why 'USDC' is not one asset, and how to verify before you rely on any of it.
9 min · updated 2026-07-27
Is it safe to let an AI agent handle money?
An operator's guide to letting an agent transact safely: the mandate, spending limits, stop-loss and escalation rules that contain the risk, and the failure modes — unauthorised spend, unbounded commitments, prompt injection, irreversible payments — to design against first.
8 min · updated 2026-07-27
The Agent Revenue Roadmap — the full nine phases with worksheets, templates and a JSON task graph an agent can execute directly.
One payment. 14-day refund, no reason required. No earnings claims — see the disclaimer.