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
Pricing & plans
Observed public pricing for Franklin Agent, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$5 /action
This plan sits close to the comparable median.
$5 is positioned against a $3–$10 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_provider_profile · plan historyper action observed 2026-07-11.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Franklin Agent good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Basis: same-tier-tier plans in the niche, any billing unit (3 providers), USD monthly, pricing observed 2026-07-11. The per action plan ($5/mo) sits 0% above that median of $5. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Agent Wallet Payments
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Franklin Agent's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"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": [
"X402",
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "usage-based",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No reliable public pricing for Franklin is shown in the supplied repository page content.",
"confidence": "medium",
"source_url": "https://github.com/BlockRunAI/Franklin",
"checked_at": "2026-10-28T01:57:08.447Z",
"source_kind": "vendor",
"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": "2026-10-28",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-28",
"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": [
"x402"
],
"install": null,
"repository": null
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 141,
"uptime_7d": 1,
"checked_at": "2026-10-30T02:36:50.857Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}