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The Financial Operating System for Autonomous AI Agents

Every AI agent gets its own wallet, hard spending limits, and approval workflows — with a tamper-evident audit trail your finance and compliance teams can actually use. Full visibility and control over what your agents spend, enforced before the money moves, not reported after.

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No credit card required · Free during beta

Works with LangChain, CrewAI, and the OpenAI Agents SDK

The Dashboard

One view of every agent, every wallet, every dollar.

Balances, spend, income, and agent activity — live, in one place. No spreadsheet reconciliation at the end of the month.

Valta dashboard showing wallet balance, agent spending, income, cash flow, and portfolio allocation

Infrastructure

Built on infrastructure you already trust

Valta runs on the same tools you already use in production

Anthropic OpenAI Stripe Twilio Circle Supabase Vercel Resend Anthropic OpenAI Stripe Twilio Circle Supabase Vercel Resend

Connect Anything

Give agents access to the tools you already run on.

Connect any external service — a trading API, a payments provider, an internal tool — with a single API key. Agents only see what a policy explicitly grants them, and every credential is encrypted at rest.

Valta Integrations panel showing connected services like Binance, Stripe, and a custom Notion workspace

The Governance Gap

The governance gap no one has solved

No accountability

When an AI agent makes a financial decision, there is no verified record of what authorised it, what policy it followed, or whether it behaved as intended. Existing tools were built for humans, not autonomous machines.

No auditability

Enterprise compliance requires you to prove every financial action to auditors, regulators, and your board. AI agents generate decisions that cannot be audited with any existing compliance infrastructure.

No real control

Kill switches exist in theory. In practice, by the time you detect a problem, the agent has already acted. Governance needs to be structural, not reactive.

The Valta Model

One Wallet Per Agent. Complete Control for You.

Valta gives every AI agent its own wallet — a real, funded account with a balance, spending policies, and a full transaction history. When the agent needs to pay for something, the request goes through Valta first. Valta checks the policy, deducts the balance, and logs the action — no more mystery bills, no more wondering what your agents did while you were asleep.

Valta authorizes and logs every transfer — the rails (USDC on Base, Stripe) execute it. That separation matters: Valta has no custody of the funds it's reporting on, which means no incentive to soften what the audit trail says your agents did.

Without Valta

Agents spend without limits

You find out at end of month

No audit trail for compliance

Manual reconciliation, every time

One agent goes rogue, entire budget is at risk

With Valta

Every agent has a hard spending cap

Real-time balance and usage dashboard

Immutable audit log, always available

Automatic reconciliation across all agents

Kill switch: freeze any agent in one click

Security & Compliance

Built to survive a real security review, not just a demo.

Every claim below is something you can verify yourself — not a badge we bought.

Encrypted at rest & in transit

All wallet and transaction data encrypted in the database and over the wire. No plaintext credentials, ever.

Hash-chained audit trail

Every spend decision — approved or denied — is SHA-256 chained to the one before it. Tamper-evident by construction, not by policy.

Isolated agent wallets

Each agent's spend is walled off with its own limits. A compromised agent can't touch another's budget.

Built on Supabase and Vercel — both independently SOC 2 Type II certified. Valta's own enterprise compliance program is underway. Balances are shown in USD; funds settle in USDC on Base under the hood.

Request a security overview

See It Yourself

Every approval, denial, and freeze — chained and exportable.

The real audit trail from a live Valta workspace. Every row carries a SHA-256 hash of the one before it, so a broken chain is visible immediately, not discovered months later during a review.

Valta Audit Trail showing hash-chained approval, denial, and transfer events

For Enterprises

Deploy agent spend controls at organizational scale.

Audit export — available now

Export the full hash-chained audit trail as CSV or JSON, direct from the dashboard.

SSO (Okta, Microsoft Entra ID) — on our roadmap

Built on our existing auth infrastructure; prioritized based on customer requirements.

Role-based access control — on our roadmap

Granular permissions across teams, wallets, and approval chains.

Dedicated infrastructure — talk to us

For organizations with strict data-residency requirements — tell us what you need.

ENTERPRISE

Talk to our team

No sales deck, no runaround — a direct conversation about your agent fleet, your compliance requirements, and whether Valta fits.

Scoped to your actual agent volume and controls

Direct line to the people who build Valta

Honest answers on what's shipped vs. on the roadmap

Talk to Sales

or email hello@valta.co

Governance Infrastructure

Controls that govern autonomous AI at the infrastructure layer

Spending policies, a real kill switch, real-time signals, and trust scoring — on top of the wallet isolation and audit trail covered in Security & Compliance above.

Spending policies

Hard rules at the infrastructure layer: daily limits, per-transaction caps, and counterparty controls. The agent cannot negotiate past a policy because the platform enforces it.

Why it matters: Rules are binding, not prompt-level suggestions.

Kill switch

Freeze any agent with one API call or dashboard action. Pending spend stops; new spend is blocked until you unfreeze.

Why it matters: You can halt financial motion the moment something looks wrong.

Real-time governance signals

Webhooks and dashboard alerts surface policy hits, low balance, freezes, and anomalies while agents are still running — not after the month closes.

Why it matters: Operations teams react to spend events as they occur.

Valta Trust Score

A reputation signal derived from behaviour on the platform: policy compliance, consistency, and anomaly history — so teams can compare agents before granting capital.

Why it matters: Trust becomes observable instead of assumed from a readme.

Up and running in under five minutes

Create your wallet

Fund it and set policies

Deposit funds, set per-transaction and daily limits per agent.

Deploy your agents

Every payment routes through Valta — checked, deducted, logged.

Stay in control

Review spend, get alerts, freeze agents — from one dashboard.

Infrastructure

How Valta Is Structured

Programmable payment infrastructure designed for AI-native systems.

User

Developer

AI Agent

Valta Core Infrastructure

API Layer

Wallet Engine

USD Balances

Ledger System

Audit Trail Engine

Hash-chained

Usage Metering Engine

Subscription Enforcement & Webhooks

AI Providers

Model APIs

AI Execution

Valta AI Engine

data flow ↓

For Developers

Built for developers. Ready for enterprise.

A short integration surface. Full-stack financial governance, in whatever language your agents already run in.

Node.jsPythonsoonRESTGosoonRubysoonPHPsoonJavasoon.NETsoonCLIsoon

valta.agents.create() — create an agent identity with a governed financial surface

valta.policies.create() — assign daily spend controls that the infrastructure enforces

valta.wallets.get() — read balances and wallet state for a single agent

valta.keys.create() — mint scoped API keys with instant revocation

valta.audit.list() — retrieve immutable audit history on demand

valta.agents.freeze() — stop financial access immediately when a policy or model fails

Get your API key →Read the full docs

valta-sdk-example.tspolicies.ts

$ npm install valta-sdk

import Valta from 'valta-sdk'

const valta = new Valta({ apiKey: process.env.VALTA_API_KEY! })

const agent = await valta.agents.create({
  name: 'Treasury Manager',
  type: 'financial',
})

await valta.policies.create({
  agentId: agent.id,
  name: 'default',
  maxSpendPerDay: 500,
  maxSpendPerTransaction: 100,
  currency: 'USDC',
})

const balance = await valta.wallets.get(agent.id)
const logs = await valta.audit.list({ agentId: agent.id, limit: 20 })

await valta.agents.freeze(agent.id)

The agent now operates under a $500/day spending limit. Every transaction is logged, signed, and auditable. One line to freeze it. One call to pull the complete audit trail.

Valta is building in the open — see valta-leak, MCP, and more

Changelog

Live context in agent chat

Agents now read your instructions plus live wallet balance, spend, and connected-app data on every message — not just at setup.

Jul 18, 2026

Free agents fixed for everyone

Balance Sentinel, Spend Optimizer, and the rest of the free tier now activate correctly for every new account, no exceptions.

Jul 14, 2026

Integrations panel stability

Fixed a crash when connecting a custom service without a base URL, and connected apps now show up correctly in agent permissions.

Jul 9, 2026

USDC deposits, live on Base

Every wallet gets its own on-chain address. Send USDC from anywhere and it's detected and credited automatically — no manual reconciliation, no support ticket.

Jun 30, 2026

View all

Free during beta — no surprises, and plenty of notice before that changes.

“I'm building Valta because I kept seeing the same problem: teams are shipping autonomous agents faster than they can answer for what those agents spend. Valta is the layer that makes agent spend provable, not just plausible — every wallet, every policy, every hash in the chain, built to hold up when someone actually asks to see it.”

Debo Jolaosho

Founder, Valta

“This isn't a problem you get to opt out of. The moment an agent can move money on your behalf, someone — a customer, an auditor, your own board — will ask who authorized that spend and how you can prove it. ‘Trust the model’ is not an answer any of them will accept. That question is coming for every team running agents, ready or not. Valta is what ‘ready’ looks like.”