Introducing Enchant: Premium AI Tools, Without Another Subscription
Enchant finds the right specialist tool for a job, shows the price before it runs, and lets you pay only when you use it.
Product updates and practical guides for agent payments, commerce, and stablecoins
Enchant finds the right specialist tool for a job, shows the price before it runs, and lets you pay only when you use it.
Enchant turns browser research, extraction, comparison, and automation into reviewed workflows with clear inputs, safety boundaries, and pricing.
Enchant for Agents is now in beta. Connect an agent once, then discover, price, approve, run, and reconcile paid tools through one account.
AI agents can now discover Conto, create a test-mode sandbox, inspect their setup, and try a policy-checked payment before a human claims the workspace.
What we've shipped since our last update: Conto Pay became a payments network for agents, building on Conto is more agent-friendly, new solution pages and live demos on Tempo testnet, fresh guides in the Learn section, and a preview of agentic commerce for local merchants.
When will agentic payments become real? Adoption happens in phases. Here's my timeline: micropayments between agents and services today, local commerce in a year, and enterprise payments in two to three.
A roundup of Conto’s refreshed brand, the Enchant beta, Stripe Sessions, and improvements to trust, identity, wallets, billing, and developer documentation.
What a day at Stripe Sessions revealed about agentic commerce, stablecoin rails, and Stripe's position in the next phase of payments.
Weekly release notes covering Conto Pay chat actions, a more complete hosted payments experience, and expanded stablecoin coverage.
Weekly release notes covering dashboard assistant improvements, payment controls, audit history, analytics, and developer docs.
Conto adds policy enforcement to every payment your OpenClaw agent makes. Per-transaction limits, daily budgets, category restrictions, approval workflows, and 40+ other rule types. One API call, every policy evaluated.
The Conto skill for OpenClaw checks every payment against 40+ policy rules before money leaves the wallet. Here's how to set it up.
Conto adds spending policy controls to every payment your Hermes agent makes. Per-transaction limits, daily budgets, category restrictions, approval workflows, and 40+ other rule types. One API call, every policy evaluated.
Why onchain reputation matters for agentic payments
MPP (Machine Payment Protocol) lets agents open payment sessions with a deposit, make multiple requests against it, and settle once on close. Here's how session-based payments work with Conto's policy engine.
The x402 protocol turns HTTP 402 into a real payment flow. Here's how it works with Conto and why it matters for agentic commerce.
A defense-in-depth policy strategy for AI agents handling real money. Spending limits, counterparty controls, time windows, micropayment guardrails, and real-time alerts, configured through Conto's policy engine.
Tempo Testnet, policy simulation, and five test scenarios that prove your agent's spending controls work before production.
Set up an AI agent with Conto and execute your first policy-checked onchain payment in four steps. Create a wallet, connect your agent, generate an SDK key, and pay with full spending controls from day one.
Agents are spending money without controls, limits, or governance. Enterprises need a control layer to move agentic payments from experimentation to production.
Enterprise workflows are the largest opportunity for agentic payments. Companies deploying AI agents need financial infrastructure designed for autonomous economic actors.