
marketflux-mcp
provides financial news intelligence and market research through AI assistant integration
What it does
The specific capability behind this listing, and where to get it.
marketflux-mcp
provides financial news intelligence and market research through AI assistant integration
Official marketflux-mcp links
Pricing & plans
Observed public pricing for marketflux-mcp, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$20 /mo
This plan is priced at a premium.
$20 sits above the observed Individual flat range ($11.79–$15.95) — around the 72th percentile of observed prices. It's a premium position — it needs differentiation to hold.
Why Agentery reaches that view
price_benchmark44.2% above the Individual flat median.
get_agent_profile · plan historyEssential observed 2026-07-27.
pricing recommendation~72nd percentile of comparable Individual flat plans.
confidencethin (thin cohort); source 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 marketflux-mcp good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 12% below the observed median.
Compared with News Monitoring Agent
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Comparable News Monitoring Agent
Alternatives in the same niche, with observed price and liveness where available.





See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "marketflux_mcp",
"name": "marketflux-mcp",
"url": "https://marketflux.io/mcp",
"logo": "https://agentery.com/logos/CP-C3ZXCK.png",
"niche": "news-monitoring-agent",
"category": "research-knowledge-work",
"short_summary": "provides financial news intelligence and market research through AI assistant integration",
"task_performed": "provides financial news intelligence and market research through AI assistant integration",
"inputs_accepted": [
"natural language queries about market events",
"stock tickers",
"earnings",
"geopolitical events",
"sector analysis"
],
"outputs_produced": [
"synthesized market intelligence summaries",
"financial news analysis",
"sector reports",
"earnings previews",
"market event explanations"
],
"integrations_available": [
"MCP",
"Claude Desktop",
"Cursor",
"Windsurf",
"Cline",
"API"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"finance"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "paid plans",
"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://marketflux.io/mcp",
"checked_at": "2026-07-28T04:46:55.215Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Bloomberg",
"Reuters",
"Wall Street Journal",
"CNBC"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://marketflux.io/mcp"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://marketflux.io/mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1219,
"uptime_7d": 1,
"checked_at": "2026-07-29T02:35:22.885Z",
"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."
}