Agentery pricing intelligence · Provider profile · Agentic AI platform
Provider profile · independently tracked by Agentery

Agentic AI platform
develop, deploy, and govern agentic AI applications and multi-agent workflows
Agentery price verdictNo pricing observed
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Agentic AI platform
develop, deploy, and govern agentic AI applications and multi-agent workflows
text, images, PDFs, video, datasets, code, LLMs, vector databases → agentic workflows, predictions, forecasts, summaries, personalized content/emails, research reports, audit-ready compliance reports
CrewAILangChainLlamaIndexNVIDIA NIMNVIDIA NeMoNVIDIA Enterprise AIOpenAI APIAirflowAPIautonomy: infrastructure
Official Agentic AI platform links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agentic AI platform good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NicheEnterprise AI Platform
Price benchmarknot applicable
What to compare instead
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 Enterprise AI Platform
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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": "datarobot",
"name": "Agentic AI platform",
"url": "https://datarobot.com/product/agentic-ai",
"logo": "https://agentery.com/logos/CP-VF67EA-256.png",
"niche": "enterprise-ai-platform",
"category": "developer-tools-infra",
"short_summary": "develop, deploy, and govern agentic AI applications and multi-agent workflows",
"task_performed": "develop, deploy, and govern agentic AI applications and multi-agent workflows",
"inputs_accepted": [
"text",
"images",
"PDFs",
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"datasets",
"code",
"LLMs",
"vector databases",
"predictive models",
"multimodal data"
],
"outputs_produced": [
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"predictions",
"forecasts",
"summaries",
"personalized content/emails",
"research reports",
"audit-ready compliance reports"
],
"integrations_available": [
"CrewAI",
"LangChain",
"LlamaIndex",
"NVIDIA NIM",
"NVIDIA NeMo",
"NVIDIA Enterprise AI",
"OpenAI API",
"Airflow",
"DataRobot API"
],
"protocols_or_interfaces": [
"API"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "The pricing page contains dollar-denominated figures but does not provide enough visible context to identify public plans or billing terms.",
"confidence": "low",
"source_url": "https://datarobot.com/pricing",
"checked_at": "2026-07-26T06:44:56.676Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"enterprise-grade security and governance claims",
"automated compliance / audit-ready reports",
"NeMo Guardrails integration"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "enterprise security page only",
"evidence_urls": [
"https://datarobot.com/product/agentic-ai"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://datarobot.com/product/agentic-ai",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1663,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:58.377Z",
"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."
}