
Mcp Analytics
An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…
What it does
The specific capability behind this listing, and where to get it.
Mcp Analytics
An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…
Official Mcp Analytics links
Pricing & plans
Observed public pricing for Mcp Analytics, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$20 /mo
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 historyAcademic observed 2026-10-17.
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 Mcp Analytics 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.
Mcp Analytics's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above. Local median $15/mo (entry prices of 13 priced of 50 nearest products, any tier or billing unit) — Mcp Analytics is 33% 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": "mcp_analytics",
"name": "Mcp Analytics",
"url": "https://mcpanalytics.ai",
"logo": "https://github.com/embeddedlayers.png?size=200",
"niche": null,
"category": null,
"short_summary": "An MCP-based statistical analysis service that uses specialist agents to analyze CSV or connected data, validate methodology, and produce citable, interactive…",
"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": "subscription",
"source_kind": "vendor",
"currency": "USD",
"lowest_monthly_usd": 20,
"monthly_usd": 20,
"headline": "From $20/mo",
"commercial": {
"entry_offer": {
"line": "Academic",
"monthly_native": 20,
"monthly_usd": 20,
"commitment": "monthly",
"basis": "$20/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Academic",
"price": "$20/mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Business",
"price": "$400/mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "By contract",
"kind": "unknown"
}
]
},
"summary": "From $20/mo. Academic costs $20/month for one seat, while Business costs $400/month for twenty seats; Enterprise pricing is by contract.",
"confidence": "high",
"source_url": "https://mcpanalytics.ai/pricing.html",
"checked_at": "2026-10-17T02:15:06.503Z",
"amount": 20,
"display": "From $20/mo",
"plans": [
{
"name": "Academic",
"price": "$20/mo",
"period": "month",
"persona": "individual",
"highlights": [
"One seat",
"Every analysis in the library",
"Live connectors and schedules",
"R source and method on each answer"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Business",
"price": "$400/mo",
"period": "month",
"persona": "team_sme",
"highlights": [
"Twenty seats",
"Everything in Academic, per seat",
"Priority queue",
"Add or drop seats any month"
],
"promo_note": null,
"price_promo": null,
"price_annual": null
},
{
"name": "Enterprise",
"price": "By contract",
"period": null,
"persona": "enterprise",
"highlights": [
"White-labelled deployment",
"Customised pipelines",
"On premise or your cloud",
"Unlimited usage"
],
"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://mcpanalytics.ai",
"https://github.com/embeddedlayers/mcp-analytics"
],
"last_checked": null,
"how_to_connect": {
"website": "https://mcpanalytics.ai",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP",
"A2A"
],
"install": null,
"repository": "https://github.com/embeddedlayers/mcp-analytics",
"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://mcpanalytics.ai/pricing.html",
"last_observed_day": "2026-10-17",
"age_days": 0,
"verified_day": "2026-10-17",
"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": 19,
"group": "Business data access tasks",
"change_90d_pct": 0.19,
"fair_price_by_tier_monthly_usd": {
"individual": 24.05,
"pro": 40,
"team / small business": 200,
"enterprise": 1000
},
"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/19"
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 107,
"uptime_7d": 1,
"checked_at": "2026-10-17T02:38:29.869Z",
"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://mcpanalytics.ai/.well-known/agent.json",
"card_name": "MCP Analytics",
"declared_version": null,
"endpoint": "https://api.mcpanalytics.ai/auth0",
"skills": [
"account_link",
"about",
"agent_advisor",
"datasets_upload",
"datasets_list",
"discover_tools",
"tools_schema",
"run_analysis",
"create_analysis",
"modify_analysis",
"request_estimate",
"review_estimate"
],
"findings": [
{
"label": "Access",
"value": "The agent card declares authentication, so a public caller needs credentials",
"ok": false
},
{
"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."
}