Franklin Agent
AI coding agent that writes code and autonomously spends money (USDC via micropayments) to accomplish stated outcomes, including buying model calls, trading da…
What it does
The specific capability behind this listing, and where to get it.
AI coding agent that writes code and autonomously spends money (USDC via micropayments) to accomplish stated outcomes, including buying model calls, trading data, web search, and generating images/video
Official Franklin Agent links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Franklin Agent good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable Agent Wallet Payments
Alternatives in the same niche, with observed price and liveness where available.




See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "franklin_agent",
"name": "Franklin Agent",
"url": "https://github.com/BlockRunAI/Franklin",
"logo": "https://agentery.com/logos/CP-AQ6HGA.svg",
"niche": "agent-wallet-payments",
"category": "financial-services",
"short_summary": "AI coding agent that writes code and autonomously spends money (USDC via micropayments) to accomplish stated outcomes, including buying model calls, trading da…",
"task_performed": "AI coding agent that writes code and autonomously spends money (USDC via micropayments) to accomplish stated outcomes, including buying model calls, trading data, web search, and generating images/video",
"inputs_accepted": [
"natural language prompts/chat (outcome statements with budget)",
"CLI commands"
],
"outputs_produced": [
"code",
"trading signal reports",
"images",
"video",
"web search results",
"inline diff cards",
"signed USDC micropayments"
],
"integrations_available": [
"x402 micropayment protocol",
"USDC wallet (Base, Solana)",
"MCP (CodeGraph semantic code index)",
"VS Code extension",
"npm package",
"55+ model providers (NVIDIA Nemotron, Qwen3 Coder, Llama 4 Maverick, Claude Sonnet/Opus, GPT, Gemini, Grok)",
"Exa web search",
"DALL-E 3"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "usage-based",
"price": {
"observed": false,
"billing": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "low",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T06:34:42.436Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"628 GitHub stars",
"48 forks",
"Apache-2.0 license",
"228 tags / 764 commits"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/BlockRunAI/Franklin",
"https://blockrun.ai"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/BlockRunAI/Franklin",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"franklin_agent\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 799,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:48.295Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}