Agentery pricing intelligence · Provider profile · Alphalabs Intelligence
Provider profile · independently tracked by Agentery
AI

Alphalabs Intelligence

api.pak-labs.com official website

MCP server (no description provided).

infrastructurePricing checked daily
Agentery value verdictBelow the niche medianfrom $0.01/mo
Observed entry price$0.01/molowest observed monthly
Billing modelunclear
Last checked2 Sept 2026pricing & liveness

What it does

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

Alphalabs Intelligence

MCP server (no description provided).

MCPMCPautonomy: infrastructure

Pricing & plans

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

Pricing · observed daily
per call · market position

$0.01 /call

90% below the median. Cheaper than 1 of 1 comparable providers.
this agent · $0.01
$0median $0.10$0
observed 2026-09-02 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.01
$0$0
$0.10

$0.01 is positioned against a $0–$0 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

90% below the median.

get_agent_profile · plan history

per call observed 2026-09-02.

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.

$0.01 / month
$1 lowestmedian $0.10$0 highest
Competitive value position. At $0.01/month, this plan is 90% below the niche median.
1st
-90%
$0$0

Is Alphalabs Intelligence 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 90% below the observed median.

Observed commercial price$0.01/mo
NicheInvestment Research Agent
Price benchmarkapplicable
How it compares

Compared with Investment Research 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 →

Alphalabs Intelligence'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": "alphalabs_intelligence",
  "name": "Alphalabs Intelligence",
  "url": "https://api.pak-labs.com",
  "logo": null,
  "niche": "investment-research-agent",
  "category": "financial-services",
  "short_summary": "MCP server (no description provided).",
  "task_performed": "MCP server (no description provided).",
  "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": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "AlphaLabs Intelligence charges per API call at $0.01–$0.10 depending on the endpoint, while several telemetry endpoints are free during beta.",
    "confidence": "high",
    "source_url": "https://api.pak-labs.com/pricing",
    "checked_at": "2026-09-02T04:15:57.539Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "GET /v1/market-snapshot",
        "price": "$0.01/call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Regime posture",
          "Narrative market summary",
          "Crypto bias"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/catalysts",
        "price": "$0.02/call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Scored catalyst events",
          "Direction",
          "Provenance"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/daily-brief",
        "price": "$0.05/call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Compiled AI market brief",
          "Macro risks",
          "Watch list and top catalysts"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/calibration",
        "price": "Free (beta)",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Pipeline calibration telemetry",
          "Stage funnel",
          "Gate failures and near-misses"
        ],
        "price_annual": null
      },
      {
        "name": "POST /v1/signal-evaluation",
        "price": "$0.10/call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Trade idea evaluation",
          "Composite score",
          "Components and floors"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/decision-explanation",
        "price": "$0.10/call",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Prior evaluation breakdown",
          "Sub-signals and weights",
          "Reasoning"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/outcome-report",
        "price": "Free (beta)",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Recorded pipeline outcomes",
          "Score-band hit rates",
          "Gate near-miss regret"
        ],
        "price_annual": null
      },
      {
        "name": "GET /v1/feature-attribution",
        "price": "Free (beta)",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Predictive engine inputs",
          "Spearman rankings",
          "Dead inputs"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://api.pak-labs.com"
  ],
  "last_checked": "2026-07-14",
  "how_to_connect": {
    "website": "https://api.pak-labs.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": 629,
    "uptime_7d": 0.25,
    "checked_at": "2026-09-02T02:31:13.932Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 0.01,
      "unit": "calls",
      "usdPer1k": 10,
      "raw": "$0.01/call",
      "plan": "GET /v1/market-snapshot"
    }
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}