Agentery pricing intelligence · Provider profile · Vecviz
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Vecviz
**Interrogate a quantitative equity model -- do not just read its output.** VecViz publishes daily model output for > 700 US tickers: VNA target prices, proba…
Agentery price verdictNo pricing observed
Billing model—
Last checked—pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
**Interrogate a quantitative equity model -- do not just read its output.** VecViz publishes daily model output for > 700 US tickers: VNA target prices, probability-weighted price bands, a six-horizon V-Score, VecEvents, channel geometry, correlation, risk history, model portfolios and option fair value estimates. **Start with `vecviz_read`** -- one ticker, self-sufficient: target, channels, VecEvents, V-Score and which price-probability bands exist. `vecviz_catalog` (free) lists what is covered. ### What makes it different Most finance MCP servers wrap quotes and fundamentals. This one exposes the model itself, so an agent can audit a number instead of quoting it: * **Why a target is what it is** -- `vecevent_matrix` returns each VecEvent's contribution to the VNA target, per Vector Set. * **What it is built on** -- `vector_set_anchors` returns the historical tops and bottoms each channel is drawn over. * **What it becomes if you disagree** -- `vna_scenario` re-prices the target
MCPMCPautonomy: infrastructure
Official Vecviz 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 Vecviz 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
Niche—
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": "vecviz",
"name": "Vecviz",
"url": "https://vecviz.com",
"logo": "https://agentery.com/logos/CP-EDK73C-128.png",
"niche": null,
"category": null,
"short_summary": "**Interrogate a quantitative equity model -- do not just read its output.**\n\nVecViz publishes daily model output for > 700 US tickers: VNA target prices, proba…",
"task_performed": "**Interrogate a quantitative equity model -- do not just read its output.**\n\nVecViz publishes daily model output for > 700 US tickers: VNA target prices, probability-weighted price bands, a six-horizon V-Score, VecEvents, channel geometry, correlation, risk history, model portfolios and option fair value estimates.\n\n**Start with `vecviz_read`** -- one ticker, self-sufficient: target, channels, VecEvents, V-Score and which price-probability bands exist. `vecviz_catalog` (free) lists what is covered.\n\n### What makes it different\n\nMost finance MCP servers wrap quotes and fundamentals. This one exposes the model itself, so an agent can audit a number instead of quoting it:\n\n* **Why a target is what it is** -- `vecevent_matrix` returns each VecEvent's contribution to the VNA target, per Vector Set.\n* **What it is built on** -- `vector_set_anchors` returns the historical tops and bottoms each channel is drawn over.\n* **What it becomes if you disagree** -- `vna_scenario` re-prices the target",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://vecviz.com"
],
"last_checked": "2026-09-02",
"how_to_connect": {
"website": "https://vecviz.com",
"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": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"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."
}