Franklin
AgentFreeThe AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.
Capabilities8 decomposed
autonomous-usdc-payment-execution
Medium confidenceEnables agents to autonomously spend USDC stablecoins from an embedded wallet to pay for external services, API calls, and computational resources. The agent evaluates task requirements, estimates costs, and executes blockchain transactions without human approval for each payment. Implements a trust-bounded spending model where the agent operates within pre-configured budget limits and payment thresholds per transaction type.
Embeds a native USDC wallet directly into the agent runtime, enabling synchronous payment execution as part of task orchestration without external payment gateways. Uses X.402 HTTP payment protocol for service negotiation and cost signaling.
Unlike traditional agents that require human-in-the-loop payment approval or centralized payment processors, Franklin agents execute blockchain transactions autonomously within configurable guardrails, enabling true economic agency.
multi-model-provider-routing
Medium confidenceRoutes tasks to different LLM providers (OpenAI, Anthropic, local Ollama, etc.) based on cost, latency, and capability requirements. The agent evaluates task complexity and selects the optimal model provider, potentially splitting work across multiple models. Integrates with the payment system to select models based on budget constraints and expected output quality.
Couples model selection with autonomous payment execution — the agent not only chooses which model to use but also executes the payment to access it, creating a closed-loop economic decision system. Supports dynamic provider switching mid-task based on cost/quality feedback.
Unlike static model selection in most agent frameworks, Franklin's routing is dynamic and cost-aware, allowing agents to adapt model choice based on real-time budget and task complexity rather than fixed configuration.
wallet-native-agent-identity
Medium confidenceUses the agent's blockchain wallet address as its persistent identity and reputation anchor. The wallet serves as both a payment instrument and an identity credential, enabling agents to build on-chain reputation, receive payments, and participate in economic protocols. Agent actions are cryptographically signed using the wallet's private key, creating an auditable transaction history.
Treats the blockchain wallet as the agent's primary identity primitive rather than a secondary payment mechanism. All agent actions are cryptographically signed and recorded on-chain, creating an immutable audit trail and enabling reputation accumulation.
Traditional agents use API keys or OAuth tokens for identity; Franklin agents use blockchain wallets, enabling trustless inter-agent transactions, on-chain reputation, and direct participation in DeFi protocols without intermediaries.
x402-payment-protocol-negotiation
Medium confidenceImplements HTTP 402 Payment Required protocol for service negotiation and cost signaling. When an API returns a 402 status with pricing information, the agent automatically evaluates the cost, executes payment via its wallet, and retries the request with proof of payment. Enables seamless integration with X.402-compliant services without manual payment handling.
Implements the HTTP 402 Payment Required standard as a first-class protocol in the agent runtime, treating payment negotiation as part of the HTTP request/response cycle rather than a separate concern. Automatically handles payment proof generation and submission.
Most agent frameworks ignore HTTP 402 or treat it as an error; Franklin agents natively understand and execute the payment protocol, enabling seamless integration with future X.402-compliant service ecosystems.
task-cost-estimation-and-budgeting
Medium confidenceEstimates the cost of tasks before execution by analyzing task complexity, required model capabilities, and external service calls. The agent compares estimated cost against remaining budget and either executes the task, requests approval, or defers to a cheaper alternative. Maintains a budget ledger tracking cumulative spending and remaining allocation per time period.
Integrates cost estimation into the agent's planning loop before task execution, treating budget as a first-class constraint alongside capability and latency. Uses historical cost data to build predictive models for new task types.
Unlike agents that discover costs only after execution, Franklin agents estimate costs upfront and make budget-aware decisions, reducing wasted spending and enabling predictable cost management at scale.
code-execution-with-payment-integration
Medium confidenceExecutes arbitrary code (JavaScript/TypeScript) in a sandboxed runtime while integrating payment execution for external service calls. When code invokes paid services (e.g., API calls, model inference), the agent automatically handles payment negotiation and execution. Provides a code execution environment where payment is a first-class primitive alongside standard I/O.
Embeds payment execution as a native capability within the code execution environment, allowing developers to write code that calls paid services without explicit payment handling. Payment is triggered automatically when code invokes external APIs.
Traditional code execution sandboxes treat payment as external; Franklin integrates payment into the execution model, enabling developers to write payment-aware code without boilerplate or manual transaction management.
agent-to-agent-payment-and-delegation
Medium confidenceEnables agents to pay other agents (identified by wallet address) to perform subtasks or delegate work. One agent can transfer USDC to another agent's wallet with a task specification, and the receiving agent executes the work and returns results. Implements a marketplace-like protocol where agents negotiate fees and service levels.
Treats agent-to-agent payments as a first-class primitive, enabling agents to form economic relationships and delegate work without human intermediation. Uses blockchain wallets as the coordination mechanism for trust and payment settlement.
Unlike traditional multi-agent systems that require centralized orchestration, Franklin agents can autonomously negotiate and execute payments with each other, enabling decentralized agent networks and marketplaces.
spending-policy-and-guardrails-enforcement
Medium confidenceEnforces configurable spending policies that limit agent autonomy based on rules like maximum per-transaction amount, daily spending caps, blacklisted recipients, and approval thresholds. Policies are evaluated before each payment execution, and violations either block the transaction or escalate to human review. Supports policy versioning and audit logging of all policy decisions.
Implements spending policies as a declarative, versioned system that sits between agent decision-making and payment execution. Policies are evaluated in real-time and violations are logged for audit and compliance purposes.
Unlike agents with hard-coded spending limits, Franklin's policy system is flexible and auditable, enabling organizations to enforce complex compliance rules and maintain detailed records of all financial decisions.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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x402 MCP server for AI agent payments. Lets Claude, Cursor, LangChain and CrewAI pay for HTTP 402–gated APIs with USDC micropayments on Base L2. Non-custodial, 0% fee. Unlike Cloudflare Pay-Per-Crawl, works on any host and settles directly on-chain.
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AI Credit Card: Give your AI Agents autonomous virtual credit cards (Mastercard) via Stripe Issuing to pay for APIs and SaaS. x402 & MPP compatible.
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Unified infrastructure for AI agents and automation. One API key for all services instead of managing dozens. Build production-ready agents without...
Superagent
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Alby Bitcoin Payments MCP
** - Connect any bitcoin lightning wallet to agents to send and receive payments instantly at low cost.
AgentDock
Unified infrastructure for AI agents and automation. One API key for all services instead of managing dozens. Build production-ready agents without operational complexity.
Best For
- ✓autonomous agent developers building economic workflows
- ✓teams deploying agents that need to purchase external services at scale
- ✓crypto-native applications requiring micropayment infrastructure
- ✓cost-conscious teams running agents at scale
- ✓applications requiring model diversity for different task types
- ✓teams with hybrid cloud/on-premise infrastructure
- ✓autonomous agent networks requiring inter-agent payments and trust
- ✓regulated environments needing full transaction auditability
Known Limitations
- ⚠Blockchain transaction finality introduces 12-60 second latency per payment depending on network congestion
- ⚠USDC availability limited to Ethereum, Polygon, and Solana mainnet/testnet — no L1 Bitcoin or other chains
- ⚠No built-in spending prediction or cost estimation — requires manual configuration of price feeds per service
- ⚠Transaction costs (gas fees) can exceed micropayment amounts on Ethereum mainnet, making small payments uneconomical
- ⚠No automatic model capability detection — requires manual configuration of which models handle which task types
- ⚠Latency variance across providers (OpenAI ~500ms, local Ollama ~2-5s) can cause unpredictable total execution time
Requirements
Input / Output
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Repository Details
Last commit: Apr 22, 2026
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The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.
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