Agentery pricing intelligence · Provider profile · Aipricepatterns
Provider profile · independently tracked by Agentery
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Aipricepatterns

aipricepatterns.com official website

AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data. Use it to discover sim…

infrastructurePricing checked daily
Agentery value verdictBelow the niche medianfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelunclear
Last checked2 Sept 2026pricing & liveness

What it does

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

AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data. Use it to discover similar market regimes, analyze historical price patterns, retrieve market context, and accelerate quantitative research. Designed for algorithmic trading, quantitative finance, reinforcement learning, and autonomous AI agents. Features: • Semantic vector search • Historical market memory • Pattern similarity discovery • Market regime analysis • Quantitative research • Remote HTTP MCP • Works with Claude, Cursor, ChatGPT, Codex, VS Code and other MCP-compatible clients.

MCPMCPautonomy: infrastructure

Pricing & plans

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

Pricing · observed daily
per call · market position

$0.00 /call

100% below the median. Cheaper than 6 of 6 comparable providers.
this agent · $0.00
$0median $0.01$0
observed 2026-08-27 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$0$0
$0.01

$0.00 is positioned against a $0–$0 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

100% below the median.

get_agent_profile · plan history

per call observed 2026-08-27.

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.

$2e-7 / month
$1 lowestmedian $0.01$0 highest
Competitive value position. At $2e-7/month, this plan is 100% below the niche median.
1st
-100%
$0$0

Is Aipricepatterns good value?

How its price compares with genuinely comparable providers.

Below the niche median

Below the niche median for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 100% below the observed median.

Observed commercial price$2e-7/mo
NicheMarket Data Agent
Price benchmarkapplicable
How it compares

Compared with Market Data 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 →

Aipricepatterns's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "aipricepatterns",
  "name": "Aipricepatterns",
  "url": "https://aipricepatterns.com",
  "logo": "https://agentery.com/logos/CP-R2Z6VJ-ld256.png",
  "niche": "market-data-agent",
  "category": "financial-services",
  "short_summary": "AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data.\n\nUse it to discover sim…",
  "task_performed": "AI Price Patterns provides historical market memory for AI agents through semantic vector search across years of financial market data.\n\nUse it to discover similar market regimes, analyze historical price patterns, retrieve market context, and accelerate quantitative research.\n\nDesigned for algorithmic trading, quantitative finance, reinforcement learning, and autonomous AI agents.\n\nFeatures:\n• Semantic vector search\n• Historical market memory\n• Pattern similarity discovery\n• Market regime analysis\n• Quantitative research\n• Remote HTTP MCP\n• Works with Claude, Cursor, ChatGPT, Codex, VS Code and other MCP-compatible clients.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "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": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://aipricepatterns.com/",
    "checked_at": "2026-08-30T04:22:37.052Z",
    "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://aipricepatterns.com"
  ],
  "last_checked": "2026-07-07",
  "how_to_connect": {
    "website": "https://aipricepatterns.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": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 393,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:30:57.915Z",
    "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."
}