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Vecviz

vecviz.com official website

**Interrogate a quantitative equity model -- do not just read its output.** VecViz publishes daily model output for > 700 US tickers: VNA target prices, proba…

infrastructure
Agentery price verdictNo pricing observed
Billing model
Last checkedpricing & 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.

Vecviz's local market

Nearest products by what they do.

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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": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "Vecviz offers a free 10-ticker preview and trial, but no public subscription price is shown.",
    "confidence": "medium",
    "source_url": "https://vecviz.com/",
    "checked_at": "2026-09-02T05:24:25.256Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "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."
}