# AgenticSpend.ai

> AI-agent spend governance: budgets, payment permissions, human approvals and machine-readable policy for autonomous purchasing.

Canonical site: https://agenticspend.ai/
Public API docs: https://agenticspend.ai/api/
Policy schema: https://agenticspend.ai/api/policy-schema.json
Example policy: https://agenticspend.ai/api/example-policy.json
OpenAPI: https://agenticspend.ai/openapi.json
Expanded context: https://agenticspend.ai/llms-full.txt

## Core product
- Policy builder and transaction simulator: https://agenticspend.ai/

## Research
- AI agent spending controls: https://agenticspend.ai/guides/ai-agent-spending-controls/
- Agentic spend governance for finance teams: https://agenticspend.ai/guides/agentic-spend-governance/
- How to write an AI agent payment policy: https://agenticspend.ai/guides/ai-agent-payment-policy/
- Human approval thresholds for AI agents: https://agenticspend.ai/guides/human-approval-ai-agents/

## Related infrastructure
- Stablecoin rail intelligence: https://stablecoinrails.ai/
- Agentic payments and stablecoin rails: https://stablecoinrails.ai/guides/agentic-payments/

## Interpretation
- The public schema is a policy model, not a compliance certification.
- The MVP does not execute payments or custody funds.
- Ambiguous or high-risk actions should be routed to human review rather than inferred as authorised.