Liminal
An MCP server that lets agents solve questions, check available capabilities, and find and continue prior work. It decomposes questions, gathers needed facts,…
What it does
The specific capability behind this listing, and where to get it.
Liminal
An MCP server that lets agents solve questions, check available capabilities, and find and continue prior work. It decomposes questions, gathers needed facts,…
Official Liminal links
Pricing & plans
Observed public pricing for Liminal, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.50 /solves
This plan sits close to the comparable median.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_provider_profile · plan historyper solves observed 2026-10-27.
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 Liminal good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
Liminal's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above. Local median $16/mo (entry prices of 7 priced of 50 nearest products, any tier or billing unit) — Liminal is 1463% above it.
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": "liminal",
"name": "Liminal",
"url": "https://mcp.physea.ai/",
"logo": "https://www.google.com/s2/favicons?domain=physea.ai&sz=128",
"niche": null,
"category": null,
"short_summary": "An MCP server that lets agents solve questions, check available capabilities, and find and continue prior work. It decomposes questions, gathers needed facts,…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [
"MCP",
"A2A"
],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": 250,
"monthly_usd": 250,
"headline": "Free plan; paid from $250/mo",
"commercial": {
"entry_offer": {
"line": "Monthly",
"monthly_native": 250,
"monthly_usd": 250,
"commitment": "monthly",
"basis": "$250/month",
"billing_verified": true
},
"rates": [
{
"line": "Starter pack",
"per": "per 20 solve",
"text": "$10 per 20 solve"
},
{
"line": "Plus pack",
"per": "per 100 solve",
"text": "$50 per 100 solve"
},
{
"line": "Mega pack",
"per": "per 1,000 solve",
"text": "$500 per 1,000 solve"
}
],
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "Free to start",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter pack",
"price": "$10 / 20 solves",
"kind": "usage_rate",
"unit": "20 solve",
"billed": "usage"
},
{
"name": "Plus pack",
"price": "$50 / 100 solves",
"kind": "usage_rate",
"unit": "100 solve",
"billed": "usage"
},
{
"name": "Mega pack",
"price": "$500 / 1,000 solves",
"kind": "usage_rate",
"unit": "1,000 solve",
"billed": "usage"
},
{
"name": "Monthly",
"price": "$250 / month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"summary": "Free plan; paid from $250/mo. Physea offers a 50-solve free start, non-expiring solve packs priced at $0.50 per solve, and a $250/month plan with 500 solves included.",
"confidence": "high",
"source_url": "https://mcp.physea.ai/",
"checked_at": "2026-10-27T03:21:37.694Z",
"amount": 250,
"display": "From $250/mo",
"plans": [
{
"name": "Free",
"price": "Free to start",
"period": null,
"persona": "free",
"highlights": [
"50 solves on every new key",
"Full engine with no feature gates",
"No card needed"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Starter pack",
"price": "$10 / 20 solves",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"$0.50 per solve",
"Packs never expire",
"Follow-ups inside one solve are free"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Plus pack",
"price": "$50 / 100 solves",
"usage": true,
"period": "usage",
"persona": "pro",
"highlights": [
"$0.50 per solve",
"Packs never expire",
"Same key keeps library context"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Mega pack",
"price": "$500 / 1,000 solves",
"usage": true,
"period": "usage",
"persona": "enterprise",
"highlights": [
"$0.50 per solve",
"Packs never expire",
"For agents that run all day"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Monthly",
"price": "$250 / month",
"period": "month",
"persona": "team_sme",
"highlights": [
"500 solves included",
"$0.50 per additional solve",
"Unused solves roll over"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://mcp.physea.ai/"
],
"last_checked": "2026-10-27",
"profile_checked": null,
"price_checked": "2026-10-27",
"how_to_connect": {
"website": "https://mcp.physea.ai/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP",
"A2A"
],
"install": null,
"repository": null,
"note": "Speaks MCP, A2A but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"source_url": "https://mcp.physea.ai/",
"last_observed_day": "2026-10-27",
"age_days": 1,
"verified_day": "2026-10-27",
"note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
},
"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": 114,
"group": "AI context management",
"change_90d_pct": 0,
"fair_price_by_tier_monthly_usd": {
"individual": 19.49,
"pro": 20,
"team / small business": 99,
"enterprise": null
},
"broad_market": true,
"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/114"
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 722,
"uptime_7d": 1,
"checked_at": "2026-10-27T02:39:02.791Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"a2a_check": {
"checked_on": "2026-10-16",
"card_url": "https://mcp.physea.ai/.well-known/agent-card.json",
"card_name": "Liminality",
"declared_version": null,
"endpoint": "https://mcp.physea.ai",
"skills": [
"solve",
"decide",
"answer"
],
"findings": [
{
"label": "Protocol version",
"value": "Not stated in the agent card",
"ok": null
}
],
"vendor_published": null,
"note": "Automated check of the vendor's public A2A agent card and endpoint. The check reads the card and sends an empty JSON-RPC request; it delivers no message. Vendor quotes are copied word for word from the card or its documentation."
},
"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."
}