TEST ENVIRONMENT — NO REAL MONEY — UNOFFICIAL PROTOTYPE (MOCK OR RAZORPAY TEST MODE)

Intent-to-Execution Integrity

Intent-to-Execution Integrity: a payment-like side effect may execute only when the exact current transaction still matches the human's confirmed authorization.

Runtime trust infrastructure

Transformthe wayagentstransact.

RazorMesh brings your AI agents together with deterministic intent verification, semantic alignment, and audited execution — so they can move money only when the human still agrees.

Get Started How it works
The principle

AI proposes. RazorGuard authorizes. The trusted executor executes.

The AI proposes

Language models output structured intents. They do not move money. Proposals are reviewed by humans and policies, never trusted on their own.

RazorGuard authorizes

Deterministic policy compares the proposal to the human's current, confirmed authorization. Recurring, ambiguous, and mismatched intents fail closed.

The trusted executor executes

A single-use, context-bound execution ticket is the only thing that can trigger a payment-like side effect. Capture revalidates the ticket at the moment of truth.

The flow

Five steps from human intent to verified execution.

Get up and running in minutes, not days. Each step is auditable, fail-closed, and replayable.

  1. 1

    Intent

    The user's natural-language authorization. Compiled into a structured draft. No default values, no invented money.

  2. 2

    Verify

    The Human Confirmation flow reviews the draft. Ambiguities surface; missing money fails closed. Only a human can advance the line.

  3. 3

    Authorize

    RazorGuard runs deterministic policy. Money is integer minor units; recurring is forbidden unless explicit; brand and merchant restrictions are case-folded.

  4. 4

    Execute

    A signed, single-use, context-bound execution ticket is the only thing that can trigger a payment-like side effect.

  5. 5

    Prove

    Every decision is appended to a JCS-canonical hash-chained evidence ledger. Tampering is detectable. Replay reconstructs exactly what happened.

Architecture

From human intent to test-mode payment — and back to a verifiable audit trail.

1User
2Intent Compiler
3Human Confirm
4RazorGuard
5Execution Ticket
6Payment Executor
7Provider
8Evidence Ledger

Every arrow is auditable. The AI never reaches the provider directly; the executor never reaches the user directly.

Proof, not promises

Real numbers, traceable to the committed evidence.

Total tests

522 / 522

Phase 3, clean-room
Gold accuracy

94.0%

semantic-thresholds-v3
Contradiction F1

0.952

held-out gold set
Milestones

M1–M50

all PASS
Fail-closed

100%

ambiguous = blocked
No client secrets

Verified

provider = server only
Money units

Minor

integer only, no float
Audit chain

JCS

hash-linked events
Security Lab

A live example of the runtime in motion.

HumanNo recurring payment.
EvidenceFree trial renews at ₹499/month.
Hard rulesPASS
Semantic verifierCONTRADICTION
FinalBLOCK
Open Security Lab

Deterministic

Hard rules evaluate the same way every time. Money is integer minor units. Recurring is forbidden unless explicit. Brand and merchant restrictions are case-folded.

Semantic

The fine-tuned verifier detects contradictions between human intent and provider evidence — even when wording differs.

Audited

Every decision is appended to a JCS-canonical hash-chained evidence ledger. Tampering is detectable. Replay reconstructs what happened.

Test-mode only

No real money moves. Razorpay Test mode keys, when used, are server-side and never reach the client. Mock mode is the default.

Interoperability

Built for heterogeneous agentic commerce.

RazorMesh is a runtime trust layer, not a single protocol. The execution boundary and the evidence ledger are designed to host protocol adapters for the agentic-commerce standards as they mature. No compliance is claimed here.

Get up and running in minutes, not days.

Launch the Demo