Agentery pricing intelligence · Agent profile · Market Agents
Agent profile · independently tracked by Agentery
Market Agents
produces market insights via collaborating specialized AI agents (sentiment analysis, pattern detection, risk assessment, behavioral forecasting, scenario simu…
Agentery price verdictNo pricing observed
Billing model—
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
produces market insights via collaborating specialized AI agents (sentiment analysis, pattern detection, risk assessment, behavioral forecasting, scenario simulations)
real-time news feeds, historical trends, price movements, user portfolio/holdings → market insights, dynamic dashboards, risk alerts, predictive analytics, behavioral forecasts, scenario simulations
UCPautonomy: agentic
Official Market Agents 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 Market Agents 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
NicheMarket Intelligence Research
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.
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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": "market_agents",
"name": "Market Agents",
"url": "https://market-agents.com/",
"logo": "https://agentery.com/logos/CP-WAVNDJ.bin",
"niche": "market-intelligence-research",
"category": "research-knowledge-work",
"short_summary": "produces market insights via collaborating specialized AI agents (sentiment analysis, pattern detection, risk assessment, behavioral forecasting, scenario simu…",
"task_performed": "produces market insights via collaborating specialized AI agents (sentiment analysis, pattern detection, risk assessment, behavioral forecasting, scenario simulations)",
"inputs_accepted": [
"real-time news feeds",
"historical trends",
"price movements",
"user portfolio/holdings"
],
"outputs_produced": [
"market insights",
"dynamic dashboards",
"risk alerts",
"predictive analytics",
"behavioral forecasts",
"scenario simulations"
],
"integrations_available": [],
"protocols_or_interfaces": [
"UCP"
],
"industry_fit": [
"finance"
],
"autonomy_level": "agentic",
"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": "Market Agents does not show public subscription pricing and currently directs visitors to join a waitlist.",
"confidence": "high",
"source_url": "https://market-agents.com/pricing",
"checked_at": "2026-08-30T05:47:21.505Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"testimonials marked coming soon (placeholder)"
],
"evidence_quality": "low",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://market-agents.com/"
],
"last_checked": "2026-06-17",
"how_to_connect": {
"website": "https://market-agents.com/",
"docs": "https://market-agents.com/documentation",
"mcp": null,
"a2a": null,
"api": {
"docs_url": "https://market-agents.com/developer",
"endpoint": null
},
"protocols": [
"UCP"
],
"note": "Speaks UCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2770,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:38:03.327Z",
"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."
}