Agentery pricing intelligence · Provider profile · Agentic Evaluation Platform
Provider profile · independently tracked by Agentery

Agentic Evaluation Platform
evaluates, monitors, and provides trace-level observability for enterprise AI agents
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 Evaluation Platform
evaluates, monitors, and provides trace-level observability for enterprise AI agents
agent traces, logs, production rollouts, test sets, and domain-specific rubrics → evaluation scores, failure analysis, trace visualizations, audit-grade logs, exportable compliance reports, and continuous monitoring alerts
autonomy: infrastructure
Official Agentic Evaluation 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 Evaluation 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
NicheAgent Observability Eval
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 Agent Observability Eval
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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": "agentic_evaluation_amp_observa",
"name": "Agentic Evaluation Platform",
"url": "https://innodata.com/agentic-platform",
"logo": "https://agentery.com/logos/CP-SDNT77-256.png",
"niche": "agent-observability-eval",
"category": "developer-tools-infra",
"short_summary": "evaluates, monitors, and provides trace-level observability for enterprise AI agents",
"task_performed": "evaluates, monitors, and provides trace-level observability for enterprise AI agents",
"inputs_accepted": [
"agent traces",
"logs",
"production rollouts",
"test sets",
"and domain-specific rubrics"
],
"outputs_produced": [
"evaluation scores",
"failure analysis",
"trace visualizations",
"audit-grade logs",
"exportable compliance reports",
"and continuous monitoring alerts"
],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [
"regulated enterprise / general business (AI builders and adopters)"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "enterprise/contact sales",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://innodata.com/agentic-platform",
"checked_at": "2026-07-26T10:46:11.794Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Nasdaq-listed company (INOD)",
"36+ year legacy",
"GDPR, HIPAA, SOX experience claims",
"audit-grade logging"
],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "possibly suitable (GDPR stated, HIPAA stated, SOX stated)",
"evidence_urls": [
"https://innodata.com/agentic-platform",
"https://innodata.com/agentic-platform/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "https://innodata.com/agentic-platform",
"docs": "https://innodata.com/api",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://innodata.com/api",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 5362,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:30:30.345Z",
"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."
}