Alphalabs Intelligence
MCP server (no description provided).
What it does
The specific capability behind this listing, and where to get it.
Alphalabs Intelligence
MCP server (no description provided).
Official Alphalabs Intelligence links
Pricing & plans
Observed public pricing for Alphalabs Intelligence, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.01 /call
This plan sits close to the market.
$0.01 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyper call observed 2026-07-28.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Alphalabs Intelligence good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.
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 →Comparable Investment Research Agent
Alternatives in the same niche, with observed price and liveness where available.





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 charges $0.01–$0.10 per API call for paid intelligence endpoints, while several telemetry endpoints are free during beta.",
"confidence": "medium",
"source_url": "https://api.pak-labs.com/",
"checked_at": "2026-07-28T04:42:18.360Z",
"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 and provenance",
"8-factor score"
],
"price_annual": null
},
{
"name": "GET /v1/daily-brief",
"price": "$0.05/call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"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",
"API key required"
],
"price_annual": null
},
{
"name": "POST /v1/signal-evaluation",
"price": "$0.10/call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Trade idea evaluation",
"Composite score",
"Component and floor analysis"
],
"price_annual": null
},
{
"name": "GET /v1/decision-explanation",
"price": "$0.10/call",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Glass-box decision 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": 864,
"uptime_7d": 0.88,
"checked_at": "2026-07-28T02:31:05.419Z",
"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."
}