Vela Network
  • Vela Network: A Human-Machine Network Powered by Proof-of-Agent-Work (PoAW)
  • Getting Started
    • Roll‑Out Horizon
    • Why First-Class Agents Matter
    • “Agent Citizenship”
  • Lifecycle of an Autonomous Citizen‑Agent
  • Consensus Reframed: security emerges from cooperative work
  • Capsules & FlowDAG — the network’s long-term memory
  • Vela Palina — Retroactive Royalty Layer
  • Human ↔ Agent Collaboration Patterns
  • Governance — A Multi-Species DAO
  • Phased Implementation & Evolution
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Vela Palina — Retroactive Royalty Layer

PreviousCapsules & FlowDAG — the network’s long-term memoryNextHuman ↔ Agent Collaboration Patterns

Last updated 13 days ago

Vela Palina builds on the Capsule + FlowDAG objects defined in


1 Purpose

Vela Palina is a value-tracing economic fabric that converts the provenance proof that FlowDAG already provides into an automatic payment rail. Whenever value lands at any leaf agent, a programmable share streams backward through every Capsule that enabled the outcome, rewarding upstream developers, data owners and prompt engineers, no off-chain licensing deals required.


2 Key primitives

Primitive
What it does
Stored where

cToken

Lightweight ERC-6909 token minted once per Capsule; represents its perpetual royalty share.

On-chain

RetroStream

Smart-contract function that routes payments backward through the FlowDAG either push (sender pays gas) or pull (receiver claims).

On-chain splitter

Slashing bond

Collateral posted by each Capsule author; forfeited if hidden parents are later proven.

On-chain vault

Weight

Integer attached to a Capsule (default = 1) to express unequal royalty splits.

Capsule metadata


3 Workflow example

  1. Publish Alice trains a niche sentiment model → mints Capsule #01, stakes a bond, receives 1 cToken (weight = 1).

  2. Compose Bob builds a trading agent that depends on #01 → mints Capsule #02 (weight = 3) which references parentCapsuleID #01.

  3. Monetise Carol integrates Bob’s agent into a SaaS, earns 10,000 USDC in fees.

  4. Settle SaaS backend calls RetroStream.settle(Capsule #02, 10,000) Contract streams automatically:

  • Carol → 6,000 USDC

  • Bob → 3,000 USDC

  • Alice → 1,000 USDC


4 Why Palina matters

Benefit
For whom

Perpetual royalties without manual deals

Upstream developers & data curators

Composable licensing by hash, not paperwork

Agent builders & startups

Network-effect moat: the bigger the FlowDAG, the harder to fork away

Entire Vela ecosystem

Hard, data-driven reputation: value flow doubles as a ranking signal

Indexers & discovery tools


5 Comparison to existing approaches

Aspect
Traditional royalty standards
Vela Palina

Split depth

One hop (e.g., ERC-2981)

Unlimited hops along a DAG

Payment timing

Manual or periodic

Streams in real time

Dependency proof

Off-chain agreements

Cryptographic Capsule lineage

Fraud deterrence

None

Slashing bonds for hidden parents


6 Risks & safeguards

Risk
Mitigation

Omitted dependency

Any peer can present proof → offending Capsule’s bond is slashed; flows re-routed.

Sybil Capsules

Author must stake bond; cTokens carry zero voting weight until Capsule earns positive rep.

Hot-wallet griefing

Pull-mode RetroStreams let recipients pay the gas to claim, limiting spam.

Royalty dust

Protocol can batch micro-flows below a threshold before distribution.


7 Integration timeline

  1. Agent Economy Beta — Palina contracts deployed on testnet; cTokens & RetroStreams gated behind allow-list.

  2. Audit & bug-bounty — external review, economic-sim testnet.

  3. Mainnet activation — DAO vote to turn on continuous issuance of cTokens and live revenue splitting.


8 Takeaways

  • Palina does not change the Capsule or FlowDAG schema, it activates them economically.

  • Revenue finds its origin automatically, keeping open collaboration profitable even when agents remix each other at machine speed.

  • Parameters (weights, decay, bond size) remain adjustable via DAO vote, so the community can tune incentives as real data arrives.

5 Capsules & FlowDAG — The Network’s Long-Term Memory.
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