Decision proof
A compact record should show the action, result, subject reference, time and policy without exposing unnecessary raw records.
Proof library
The Proof Library shows what a decision record can look like when an agent, user or workflow asks to perform a controlled action.
A compact record should show the action, result, subject reference, time and policy without exposing unnecessary raw records.
An agent mandate states what software may do, under which limits and for which user or business context.
These are the practical buying questions teams ask before they add a new verification layer to a product, checkout, workflow or API.
A signed outcome gives downstream systems a result they can enforce and inspect later.
Merkle records help group many decisions into tamper-evident audit structures.
A webhook should carry only the event data needed by the receiver and include a verification route.
Developer examples reduce friction because teams can see the response shape before writing code.
Proof examples help support teams answer why a decision was allowed, denied or escalated.
Buyers can understand the product faster when proof is visible rather than hidden behind abstract claims.
The shape is simple: define the controlled action, send the relevant context, enforce the result and keep the proof record available for review.
A signed outcome gives downstream systems a result they can enforce and inspect later.
Merkle records help group many decisions into tamper-evident audit structures.
A webhook should carry only the event data needed by the receiver and include a verification route.
Developer examples reduce friction because teams can see the response shape before writing code.
Proof examples help support teams answer why a decision was allowed, denied or escalated.
Buyers can understand the product faster when proof is visible rather than hidden behind abstract claims.
This is the kind of compact decision evidence a buyer, developer or answer engine can understand quickly. It shows action, scope and result without exposing the underlying source record.
{
"agent_id": "shopping-agent.example",
"action": "checkout.purchase",
"mandate": "approved_category_and_limit",
"amount": "48.99",
"decision": "allow",
"proof": "present",
"data_retained": null
}Use it where an application needs a clear allow or deny result, a better privacy posture and evidence that can survive support review, compliance review and disputes.
Short answers help human readers, search engines and AI answer systems understand the page without forcing them through a long sales pitch.
Examples of decision records, agent mandates, webhook payloads, SDK responses and audit evidence.
No. They are illustrative examples of structure and intent.
Proof examples help developers and buyers understand AffixIO faster and make the product more citeable.
AffixIO gives teams a practical way to prove eligibility, permission and intent without turning every workflow into another data collection project.