Agentery pricing intelligence · Provider profile · Aipricepatterns
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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 checked28 Jul 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 5 of 5 comparable providers.
this agent · $0.00
$0median $0.01$0
observed 2026-07-28 · 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 2026-07-28.

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.

$0.000001 / month
$1 lowestmedian $0.01$0 highest
Competitive value position. At $0.000001/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$0.000001/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 →

Comparable Market Data Agent

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
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": true,
    "billing": "usage",
    "currency": "SOL",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "AIPP offers a permanent free tier and SOL-priced usage units for paid agent capabilities, with exact checkout pricing handled through Manus.",
    "confidence": "high",
    "source_url": "https://aipricepatterns.com/billing",
    "checked_at": "2026-07-28T05:09:03.466Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Try the Engine",
        "price": "◎ 0 forever",
        "period": null,
        "persona": "free",
        "highlights": [
          "100 free calls per day per service",
          "No registration or wallet needed",
          "Playground and demo routes included"
        ],
        "price_annual": null
      },
      {
        "name": "Pattern Search",
        "price": "◎ 0.001 / 100 calls",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Structural analog search",
          "Match exports",
          "Reusable access token"
        ],
        "price_annual": null
      },
      {
        "name": "Live Signals",
        "price": "◎ 0.0005 / 500 calls",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Live probability and Polymarket signal calls",
          "Token reuse for automated routing"
        ],
        "price_annual": null
      },
      {
        "name": "Backtesting",
        "price": "◎ 0.002 / 50 calls",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Walk-forward and selector backtests",
          "Strategy validation and optimization"
        ],
        "price_annual": null
      },
      {
        "name": "Dataset Ops",
        "price": "◎ 0.003 / 20 calls",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Dataset refresh, gaps, and expansion",
          "Explicit agent-controlled spend"
        ],
        "price_annual": null
      }
    ],
    "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": 410,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:30:57.395Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 100,
      "unit": "calls",
      "per": "day",
      "raw": "100 free calls per day",
      "plan": "Try the Engine"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}