Establish the agreement
Machine-readable transaction terms covering counterparties, authority, price, deadlines, required outputs, and success criteria.
Private R&D · V0.1
Autonomous agents are beginning to discover services, call other agents, make purchases, and act across organisational boundaries. Kavrall is building the assurance layer that records what was authorised, what was agreed, what happened, whether the result was valid, and the evidence needed to trust the next transaction.
01 / The missing layer
Communication, identity, tool access, and payments are necessary parts of autonomous commerce. But when agents transact across organisational boundaries, connectivity alone cannot establish whether a transaction should be trusted.
Who authorised this agent?
What exactly was it permitted to do?
What was agreed before execution?
Did the provider deliver the promised result?
Can the outcome be independently verified?
What evidence exists if something goes wrong?
Should future agents trust this counterparty?
Connectivity enables agents to interact.
Assurance enables them to transact.
Kavrall is designed to sit alongside emerging identity, agent communication, tool connectivity, and payment standards—not replace them.
02 / Transaction assurance
Machine-readable transaction terms covering counterparties, authority, price, deadlines, required outputs, and success criteria.
Execution evidence, deterministic validation, hashes, timing, and signed verification results.
Signed receipts and capability-specific, evidence-backed reputation based on actual outcomes.
03 / Transaction lifecycle
Every stage leaves the next one with clearer authority, stronger evidence, and a record that can be inspected.
Was the agent permitted to perform the transaction?
What exactly did both counterparties agree to?
What service ran, and under which agent or version?
What verifiable record exists of inputs, outputs, timing, and execution?
Did the result meet the agreed success criteria?
Should the underlying payment or economic action complete?
What should the verified result contribute to future trust decisions?
04 / Core primitives
Kavrall is exploring a small set of composable primitives. V0.1 is focused on proving how they work together, not claiming production readiness.
KV.CONTRACT
Machine-readable, hashable agreements describing buyer, seller, capability, authority, economics, expected output, and success criteria.
KV.RECEIPT
Cryptographically verifiable evidence of what was agreed, executed, returned, and verified.
KV.REPUTATION
Trust should be specific to what an agent actually does; reliability for one capability should not imply reliability for another.
KV.VERIFY
Deterministic or independent validation of transaction outcomes before trust is updated.
05 / Why now
Agents increasingly act on behalf of people and organisations. Protocols for agent-to-agent communication and tool access are emerging. Machine-native payments, identity, and delegated authority systems are developing alongside them.
Autonomous commerce needs an assurance layer that can work across these systems—capturing agreement, verifying outcomes, and carrying evidence forward.
Kavrall is designed to complement emerging identity, agent communication, tool connectivity, and payment protocols rather than replace them.
EMERGING MACHINE-COMMERCE STACK
Delegated authority
Agent communication
Tool connectivity
Machine payments
06 / Developer interface
Kavrall is being designed as API-first infrastructure. The human dashboard is an observability and control surface; the core transaction primitives are intended to be consumed programmatically by agents, services, and platforms.
Structured inputs. Deterministic checks. Portable evidence.
const transaction = await kavrall.createTransaction({
buyer,
seller,
capability: "research.company.lookup",
maxPrice: 0.05,
successCriteria: [
"schema_valid",
"required_fields_present"
]
})
const result = await transaction.execute(input)
const receipt = await result.verify()07 / Current status
Kavrall is currently an early-stage private R&D project. V0.1 is focused on proving a simple end-to-end transaction lifecycle.
The first prototype is designed to demonstrate structured agent-to-agent agreements, deterministic verification, signed transaction receipts, and evidence-backed reputation.
08 / Contact
If you’re building autonomous agents, machine payments, agent infrastructure, marketplaces, or systems where agents transact across trust boundaries, we’d like to hear from you.
Email Kavrall