AI agents need to buy API calls, access data, subscribe to services, and pay for compute — all without human intervention. Jalda provides machine-to-machine payment infrastructure built for the agentic economy.
Integrate Agent PaymentsExisting payment rails weren't designed for autonomous software. AI agents operate at machine speed and micro-transaction scale, with zero human approval latency tolerance.
Agents can't fill card forms, click through OAuth flows, or handle 2FA SMS codes. They need programmatic, pre-authorized payment capabilities that execute at API speed without blocking on user input.
An LLM query costs $0.001, an API call $0.01, a specialized data lookup $0.10. Card payment fees (2.9% + $0.30) destroy the unit economics. Agents need payment rails designed for small, frequent charges.
Agent actions must be attributable to a verified end-user for billing, compliance, and fraud prevention. But agents can't authenticate interactively. They need delegated credentials with scoped spending authority.
Agents buy from multiple vendors: OpenAI for LLM inference, Pinecone for vector search, Stripe for subscriptions, AWS for compute. Fragmented payment methods mean vendor lock-in and integration overhead.
Without circuit breakers, a misconfigured agent can rack up thousands in API charges in minutes. Users need spending limits, rate controls, and kill-switch capabilities tied to agent credentials.
When an agent spends money, users need real-time visibility: which agent, which task, which vendor, which API endpoint. Audit trails must capture context for debugging, cost allocation, and compliance.
Purpose-built payment infrastructure for autonomous agents operating on behalf of end-users.
Agents authenticate via OAuth2/OIDC with scoped access tokens. Users authorize agents once, defining spending limits, allowed vendors, and transaction caps. Agents execute payments programmatically using bearer tokens, with no interactive flow required.
POST /v1/payment/setup
Authorization: Bearer agent_token_abc123
{
"amount_jaldas": 500,
"vendor": "api.example.com",
"description": "Vector DB query batch"
}
End-users link their mobile billing account to agent credentials with granular controls: per-transaction limits, daily/monthly budgets, vendor whitelists, and time-based restrictions. Agents spend on behalf of the user without accessing underlying payment methods.
Every agent transaction is logged with full context: agent ID, task description, vendor, timestamp, amount. When limits are approached, warnings fire. When limits are hit, payments block automatically. Users can revoke agent credentials instantly via dashboard or API.
Jalda uses GSMA CAMARA standards (Number Verification, Device Swap Detection) to verify that agent payments are authorized by the legitimate account holder, not a compromised credential or stolen token. Agent flows require initial user consent with mobile-operator identity verification.
Fraud-resistant by design. If an agent credential is compromised, spending limits cap maximum exposure. If a SIM swap is detected, agent payments are blocked until the user re-authenticates.
Add autonomous payment capabilities to your AI agent platform, LLM orchestration layer, or agent marketplace with a few API calls.
POST /v1/agent/authorize
{
"agent_id": "research-agent-123",
"user_msisdn": "+46701234567",
"limits": {
"per_tx_eur": 5.0,
"daily_eur": 50.0,
"monthly_eur": 200.0
},
"allowed_vendors": [
"api.openai.com",
"api.pinecone.io"
]
}
POST /v1/payment/setup
Authorization: Bearer {agent_token}
{
"amount_eur": 1.20,
"vendor": "api.pinecone.io",
"description": "Vector search:
50k embeddings",
"metadata": {
"task_id": "research-2024-08-05",
"query": "fintech regulations EU"
}
}
POST https://your-platform.com/webhooks/jalda
{
"event": "payment.confirmed",
"payment_id": "pmt_abc123",
"agent_id": "research-agent-123",
"user_msisdn": "+46701234567",
"amount_eur": 1.20,
"vendor": "api.pinecone.io",
"timestamp": "2026-08-05T14:32:01Z"
}
LangChain, AutoGPT, and multi-agent frameworks let users build autonomous workflows that call external APIs. Jalda enables those agents to pay for API access, premium data sources, and compute resources without requiring users to manage API keys for every vendor.
Agents that book travel, order groceries, schedule appointments, and pay bills need payment credentials. Users authorize spending budgets, and agents execute purchases autonomously when conditions are met (cheapest flight under €200, organic produce from favorite vendor).
Autonomous agents that spin up cloud infrastructure, run A/B tests, or deploy code need to pay for ephemeral compute, storage, and API quotas. Jalda lets engineering teams set budget guardrails while agents optimize cost/performance tradeoffs in real time.
Academic and corporate research agents scrape datasets, purchase paywalled papers, query proprietary databases, and subscribe to market data feeds. Jalda provides accountable spending with audit trails for compliance (grant funding, procurement policy).
Payments are infrastructure. Jalda makes it programmable, scalable, and safe for autonomous agents to transact on behalf of users.
Integrate Agent Payments