
Upsonic
Python framework for building autonomous AI agents that perform tasks like analyzing logs, market trends, OCR/document processing, and custom tool-based operat…
What it does
The specific capability behind this listing, and where to get it.
Python framework for building autonomous AI agents that perform tasks like analyzing logs, market trends, OCR/document processing, and custom tool-based operations
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Upsonic 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.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "upsonic",
"name": "Upsonic",
"url": "https://github.com/Upsonic/Upsonic",
"logo": "https://agentery.com/logos/CP-78ASJD-256.png",
"niche": "agent-framework-open-source",
"category": "developer-tools-infra",
"short_summary": "Python framework for building autonomous AI agents that perform tasks like analyzing logs, market trends, OCR/document processing, and custom tool-based operat…",
"task_performed": "Python framework for building autonomous AI agents that perform tasks like analyzing logs, market trends, OCR/document processing, and custom tool-based operations",
"inputs_accepted": [
"task descriptions/prompts",
"documents (PDFs",
"images)",
"custom tools",
"MCP data sources"
],
"outputs_produced": [
"task results",
"extracted text from documents (OCR)",
"analysis outputs"
],
"integrations_available": [
"MCP (Model Context Protocol)",
"E2B Sandbox",
"Anthropic Claude",
"OpenAI",
"Ollama",
"EasyOCR",
"RapidOCR",
"Tesseract",
"PaddleOCR",
"DeepSeek OCR",
"Cursor",
"VSCode",
"Windsurf"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T10:16:48.113Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"7.9k GitHub stars",
"735 forks",
"41 contributors",
"MIT license",
"SECURITY.md responsible disclosure policy"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/Upsonic/Upsonic"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://github.com/Upsonic/Upsonic",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"upsonic\": {\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": 870,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:39:18.933Z",
"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."
}