mlsanityData to 14 Oct 2026

ClawCoin: An Agentic AI-Native Cryptocurrency for Decentralized Agent Economies

arXiv 2604.19026 ↗First posted 21 Apr 2026cs.MA cs.CRcited by 0

On the map: LLM agents and tool use → Financial trading and forecasting agents

Abstract (arXiv)

Autonomous AI agents live or die by the API tokens they consume: without paid inference capacity they cannot reason, act, or delegate. Compute-token cost has become the binding resource of the emerging agent economy, yet it is non-transferable: it is account-bound, vendor-specific, and absent from on-chain ledgers. Existing payment rails such as x402 move fiat-backed value between agents, but they do not represent the quantity agents actually burn. As a result, agents can transport purchasing power but cannot quote, escrow, or settle workflows in a unit aligned with compute cost. We present ClawCoin, a tokenized, compute-cost-indexed unit of account and settlement asset for decentralized agent economies. ClawCoin combines four layers: a robust basket index over standardized prices; an oracle publishing signed fresh attestations; a NAV-based mint/redeem vault with coverage thresholds and rate limits; and an on-chain settlement layer for multi-hop delegations. We implement a prototype on an Ethereum-compatible L2 and evaluate it using a multi-agent simulator and the OpenClaw testbed. Across single-agent, multi-agent, workflow, and procurement experiments, ClawCoin stabilizes execution capacity under cost shocks, reduces cross-agent quote dispersion, eliminates partial settlements, and sustains cooperative market dynamics that fiat-denominated baselines cannot. These results suggest that compute-indexed units of account can improve decentralized agent coordination.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Financial trading and forecasting agents, one of 16 directions in LLM agents and tool use. Builds on 4 of its 37 references that are in the map. First posted on arXiv 21 Apr 2026.

Builds on

4 of 37 references.

References · 4

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,988
  3. 2021SoK: Oracles from the Ground Truth to Market Manipulationcited by 7
  4. 2026The Agent Economy: A Blockchain-Based Foundation for Autonomous AI Agentscited by 7

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  1. 2026Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundaries
  2. 2026A402: Binding Cryptocurrency Payments to Service Execution for Agentic Commerce
  3. 2026AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlement
  4. 2025Towards Multi-Agent Economies: Enhancing the A2A Protocol with Ledger-Anchored Identities and x402 Micropayments for AI Agents
  5. 2026PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance
  6. 2026APEX: Agent Payment Execution with Policy for Autonomous Agent API Access
  7. 2026Token Economics for LLM Agents: A Dual-View Study from Computing and Economics
  8. 2026Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital