AIsa
Also known as: AIsa One
Unified resource and payment gateway for AI agents that lets them discover, access, and pay for models, APIs, data, and compute through one programmable interface, with usage based billing settled in fiat or stablecoins.
AIsa is a San Francisco company, founded in 2025, building what it calls the resource and transaction network for the AI agent economy. Led by co-founder Jordan Liu with a lean team of around ten, AIsa raised six and a half million dollars in total funding, including a seed round co-led by Alibaba and Tribe Capital with participation from Draper Associates, Sumitomo Corporation, and Saison Capital, announced in July 2026. The company's thesis is that most digital resources, from APIs to subscriptions, are still designed for humans who create accounts, sign contracts, and manage credentials, which autonomous agents cannot efficiently navigate. AIsa aims to be the layer that lets agents pay for what they use programmatically, the way PayPal grew with eBay and Stripe grew with internet commerce.
The platform unifies two things that were historically separate. A resource gateway connects agents and developers, through a single API key, to more than fifty large language models plus over one hundred specialized API endpoints spanning real time data, search, market data, and SaaS tools, all OpenAI compatible so developers can swap a base URL and route across providers without lock in. An agentic payment layer meters that usage, enforces business defined spending controls through a guard, and settles transactions in fiat or stablecoins using machine payment protocols such as x402. AIsa also offers cloud hosted agent instances preloaded with models and skills, a marketplace where idle API keys and compute can be resold, and a developer experience with an API playground, streaming REST endpoints, and official Python and TypeScript SDKs.
AIsa reports steep early growth, with registered agents on the platform passing fifty thousand without paid marketing and transaction volume rising sharply through the first half of 2026, aided by its ranking at the top of the x402 ecosystem and integrations with agent payment efforts from Circle, Visa, and Stripe. It is a strong fit for developers and small teams deploying autonomous agents that need to access and pay for models, data, and tools through one account rather than juggling many vendor contracts. It is a weaker fit for teams that need built in agent memory, self hosted deployment, or a full workflow orchestration platform, since AIsa is a gateway and payment layer rather than an agent framework.
Vendor details
Canonical URL
https://aisa.one
Category
Agent infrastructure
Subcategory
Agent resource and payment gateway
Funding status
Independent, headquartered in San Francisco, founded in 2025 by Jordan Liu and team, with a lean roughly ten person operation. AIsa has raised six and a half million dollars in total funding, including a seed round co-led by Alibaba and Tribe Capital, with participation from Draper Associates, Sumitomo Corporation, Saison Capital, and other investors, announced in July 2026. The company reports more than fifty thousand registered agents onboarded without paid marketing and steep growth in transactions through the first half of 2026, ranking at the top of the x402 ecosystem.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
AIsa exposes a single, OpenAI compatible API key that connects agents to more than fifty large language models and over one hundred specialized endpoints, including real time data, search, market data, and SaaS tools, so developers integrate once and route across providers. It supports official Python and TypeScript SDKs, streaming REST endpoints, and an API playground, and settles machine to machine payments through protocols like x402 in fiat or stablecoins. It integrates with agent payment efforts from Circle, Visa, and Stripe.
In practice
A solo founder's agent needs three different models, a search API, and market data. AIsa gives it all through one API key and one bill, paying only for what it uses instead of managing separate contracts.
An autonomous agent must pay for its own API calls as it works. AIsa meters the usage and settles in stablecoins, so the agent transacts without a human opening accounts or entering cards.
A team wants to switch models to optimize for cost or speed. Because AIsa is OpenAI compatible and routes across providers, they change models without rewriting their application.
Sources & related URLs
Capability coverage
7.0 / 14 capabilities · 50%
| Integrations & Tool CallingConnects agents through one API key to over fifty models and more than one hundred specialized endpoints spanning data, search, and SaaS tools, AIsa docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationOffers cloud hosted agent instances preloaded with models and skills, but AIsa is a gateway and payment layer rather than a workflow orchestration engine, AIsa docs 2026-07-07 | Partial |
| Knowledge Grounding & RAGProxies real time data and search endpoints that agents can ground on, but does not itself provide retrieval or a knowledge base, AIsa docs 2026-07-07 | Partial |
| Human Oversight & GuardrailsEnforces business defined spending controls and approval workflows through a payment guard, though broader agent oversight is not its focus, AIsa docs 2026-07-07 | Partial |
| Security, Identity & GovernanceProvides spending controls, audit trails, and enterprise grade security claims, but specific certifications are not documented, AIsa docs 2026-07-07 | Partial |
| Observability & AuditabilityMeters usage and records transactions with audit trails, though a full agent observability suite is not documented, AIsa docs 2026-07-07 | Partial |
| Memory & State PersistenceNo agent memory or state persistence is part of the gateway, AIsa docs 2026-07-07 | Unable to verify |
| Deployment & Data ResidencyDelivered as a cloud network and gateway with no self hosted or on premise option documented, AIsa docs 2026-07-07 | Unable to verify |
| Prebuilt Agents, Templates & PacksOffers cloud hosted agent instances with a curated library of skills and a marketplace of agent services, but not a first party prebuilt agent pack library, AIsa docs 2026-07-07 | Partial |
| Triggers & Channel CoverageDeploys agents across messaging channels like Telegram, Discord, and Slack, though its trigger model is not deeply documented, AIsa docs 2026-07-07 | Partial |
| Model Flexibility & RoutingActs as an OpenAI compatible router across more than fifty models with no vendor lock in, letting developers switch providers to optimize cost, speed, or reasoning, AIsa docs 2026-07-07 | Full |
| APIs, SDKs & MCP ExtensibilityExposes an OpenAI compatible REST API, official Python and TypeScript SDKs, an API playground, and machine payment protocols like x402 for building on the platform, AIsa docs 2026-07-07 | Full |
| Testing, Debugging & OptimizationProvides an API playground to test models and compare cost and speed, but not a general agent evaluation harness, AIsa docs 2026-07-07 | Partial |
| Browser & Computer UseNo browser or computer use capability is described, AIsa docs 2026-07-07 | Unable to verify |
Pricing
Usage based, pay per call with complimentary starting credits; per model and per endpoint rates published, settled in fiat or stablecoins
usage, per call metered across models, APIs, data, and compute, settled in fiat or stablecoins
What is public
Usage based, pay per call pricing is public, with per model and per endpoint rates published in the documentation and marketplace. New accounts receive complimentary credits, and there is no fixed monthly minimum.
Billing mechanics
Metered per call across models, APIs, data, search, and compute through a single API key, billed on usage and settled in fiat or stablecoins.
Cost watchouts
Because agents transact autonomously, budgets and spending controls matter; unbounded usage can run up costs quickly.
Variable cost rationale
Pure pay per call usage means cost scales directly with how much agents transact, call models, and consume data, so heavy or autonomous agent activity can accumulate quickly.
Additional watchouts
Costs are driven by agent activity volume and the mix of models and endpoints used; heavy autonomous usage can escalate without spending limits.
Sales call required
No — self-serve available
Free / trial
Complimentary starting credits, then pay per call
Key ambiguities
No single headline rate; effective cost depends entirely on the models and endpoints used and transaction volume.
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