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MCP server profile · independently tracked by Agentery
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Vaquill Statutes

↗ vaquill.ai/blog/add-legal-research-ai-agent-mcp official website

An MCP server that gives AI agents tools to search and retrieve US Code, CFR, federal and state statutes, constitutions, court rules, and executive orders with…

MCP serverPricing checked daily
Agentery value verdictPremium-pricedfrom $200/mo
Observed entry price$200/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed5 Aug 2026latest priced read of the page
Website liveness24 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Vaquill Statutes

An MCP server that gives AI agents tools to search and retrieve US Code, CFR, federal and state statutes, constitutions, court rules, and executive orders with…

MCP

Pricing & plans

Observed public pricing for Vaquill Statutes, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per seat · market position

$200 /seat

0% above the median. Basis: comparable plans in Legal Research Agent, same buyer tier and billing unit, USD monthly, observed 2026-08-03. Separately, across all same-tier-tier plans in the niche regardless of billing unit (1 providers): cheaper than 0 of them.
this agent · $200
$100median $200$400
pricing observed 2026-08-03 · page rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the comparable median.

pricing recommendation
$200
$100–$400
$200

$200 is positioned against a $100–$400 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

0% above the median.

get_provider_profile · plan history

per seat observed 2026-08-03.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$200 / month
$100 lowestmedian $200$600 highest
At-market position. At $200/month, this plan is 0% above the cohort median.
—
+0%
$100–$400

Is Vaquill Statutes good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Basis: Team flat plans at the same billing unit (2 providers), USD monthly, pricing observed 2026-08-05. The Counsel plan ($200/mo) sits 32.7% above that median of $150.74. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$200/mo
Hosting model—
Price benchmarkapplicable
How it compares

Compared with Legal Research Agent

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Vaquill Statutes's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "vaquill_statutes",
  "name": "Vaquill Statutes",
  "url": "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp",
  "logo": "https://www.google.com/s2/favicons?domain=vaquill.ai&sz=128",
  "niche": "legal-research-agent",
  "category": "legal",
  "short_summary": "An MCP server that gives AI agents tools to search and retrieve US Code, CFR, federal and state statutes, constitutions, court rules, and executive orders with…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "stated_free": {
    "quote": "et. Four of them do most of the work in a research agent, and a fifth is free. search_us_statutes Hybrid semantic and keyword search across the US",
    "url": "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp",
    "day": "2026-10-14",
    "note": "The vendor says it is free in its own words; this is not an observed $0 price."
  },
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing or plan amounts are shown in the supplied page content.",
    "confidence": "medium",
    "source_url": "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp",
    "checked_at": "2026-10-21T03:16:53.084Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp"
  ],
  "last_checked": "2026-10-21",
  "profile_checked": null,
  "price_checked": "2026-10-21",
  "how_to_connect": {
    "website": "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": "uvx vaquill-mcp with your API key set, and the agent gets statute search, section t",
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": true,
    "hosted_endpoint": null,
    "install": "uvx vaquill-mcp with your API key set, and the agent gets statute search, section t",
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:install",
        "page_text:licence",
        "page_text:both_offered"
      ],
      "excerpt": "an agent cite from memory. The fix: add legal research to your AI agent via MCP. Run uvx vaquill-mcp with your API key set, and the agent gets statute search, section tex",
      "url": "https://vaquill.ai/blog/add-legal-research-ai-agent-mcp",
      "observed_day": "2026-10-23",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "AGPL",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"ner and PACER integrations Self-hosted, AGPL-3.0 Teams that want an open-source\"",
    "observed_day": "2026-10-23",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://www.vaquill.ai/",
      "last_observed_day": "2026-08-05",
      "age_days": 81,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": {
    "group_id": 20,
    "group": "Legal research and workflow tasks",
    "change_90d_pct": 0.36,
    "fair_price_by_tier_monthly_usd": {
      "individual": 17.63,
      "pro": 79,
      "team / small business": 149,
      "enterprise": 500
    },
    "note": "Change of the group's price index over the last 90 days. Call get_group_fair_price with group_id for tier and payment-model detail.",
    "page": "https://agentery.com/aepi/groups/20"
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1239,
    "uptime_7d": 1,
    "checked_at": "2026-10-24T02:46:00.123Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}