Fpa Scenario Modelling
Query this niche via MCP
market_report({ query: "Fpa Scenario Modelling", response_mode: "summary" })Agents · median
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleNo providers priced at the All tier yet.
All plans
0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Fpa Scenario Modelling (latest observation 2026-10-14T03:32:48.116Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its
by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
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"methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
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"name": "Clearfactr",
"url": "https://clearfactr.com/mcp-server",
"short_summary": "An MCP server that lets AI agents create, navigate, explain, modify, and run what-if analyses on deterministic financial models through natural language.",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "MCP Server",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. The ClearFactr MCP Server is shown with a $0 offer, but no billing period or detailed plan information is provided."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "revenue_ai",
"name": "Revenue Ai",
"url": "https://revenue.ai/solutions/automating-financial-planning",
"short_summary": "AI-driven financial planning and revenue management platform offering automated pricing, promotional optimization, market monitoring, and financial planning co…",
"price": {
"commercial": {
"currency": "USD",
"lines": []
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Pricing is not publicly displayed; customers must book a demo or contact sales."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "shopify_partner_agent",
"name": "Shopify Partner Agent",
"url": "https://github.com/rushikeshmore/shopify-partner-agent",
"short_summary": "MCP server connecting Claude to Shopify Partner API for revenue analytics. Provides 25 tools for MRR tracking, churn analysis, retention cohorts, merchant heal…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "Free",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. Shopify Partner Agent is presented as a free, open-source MCP server with no monthly fees."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/fpa-scenario-modelling",
"summary": {
"niche": "fpa-scenario-modelling",
"sector": "finance-ops",
"pricing_by_provider_type": {
"headline": "No published benchmark for fpa-scenario-modelling yet — too few comparable priced providers.",
"benchmarks": [],
"warnings": [
"No priced providers meet the benchmark bar for this scope."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "fpa-scenario-modelling"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/fpa-scenario-modelling",
"counts": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 5,
"providers_with_numeric_monthly_price_latest_scan": 2,
"like_for_like_comparable_pairs": 2
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": false,
"value_pct": null,
"held_reason": null
}
},
"pricing_version": "cohorts-1",
"pricing_status": "observed_offers_only",
"pricing_by_tier": null,
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "runway_fpa",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$15 /month",
"monthly_usd": 15
},
{
"provider": "runway_fpa",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$35 /month",
"monthly_usd": 35
},
{
"provider": "runway_fpa",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$95 /month",
"monthly_usd": 95
}
]
},
{
"billing": "monthly",
"unit": "per_seat",
"count": 1,
"offers": [
{
"provider": "layerz",
"tier": "team_sme",
"billing": "monthly",
"unit": "per_seat",
"price": "€49 /editor/month excl. tax",
"monthly_usd": 55.86
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "layerz",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom · from 2,000 €",
"monthly_usd": null
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 5,
"normalized_observations": 4,
"comparable_providers": 2,
"strict_cohorts": 0,
"exclusion_reasons": {
"ambiguous_cadence": 1
}
},
"pricing_note": "No comparable cohort formed (a benchmark needs >=2 providers sharing a buyer tier AND billing unit). observed_offers lists the REAL provider offers, grouped and labelled by billing type — each is a single observed price, never aggregated across mixed units, periods or tiers.",
"pricing_excluded_observations": {
"ambiguous_cadence": 1
},
"billing_mix": {
"freemium": 2,
"contact_sales": 1,
"free": 2
},
"free_tier_share": 0.8,
"top_providers": [
{
"agent_id": "anaplan_anomaly_detector",
"name": "Anomaly Detector Agent",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site."
},
"observed": false
},
{
"agent_id": "layerz",
"name": "Layerz",
"price": {
"commercial": {
"entry_offer": {
"line": "Team",
"monthly_native": 49,
"monthly_usd": 54.85,
"commitment": "monthly",
"basis": "€49 per editor/month × 1",
"billing_verified": true
},
"currency": "EUR",
"notes": [
"other prices: Done-for-you Custom · from 2,000 € (period not stated)",
"prices in EUR as published; USD figures are conversions at 2026-10-14"
],
"lines": [
{
"name": "Individual",
"price": "€0 /month, forever",
"kind": "free",
"billed": "monthly"
},
{
"name": "Team",
"price": "€49 /editor/month excl. tax",
"kind": "base_subscription",
"unit": "editor",
"billed": "monthly"
},
{
"name": "Done-for-you",
"price": "Custom · from 2,000 €",
"kind": "unspecified_period"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 54.85,
"monthly_usd": 54.85,
"headline": "Free plan; paid from €49/mo (€49 per editor/month × 1)",
"summary": "Free plan; paid from €49/mo (€49 per editor/month × 1). Layerz offers a free individual plan, team collaboration at €49 per editor per month excluding tax, and custom done-for-you engagements from €2,000."
},
"observed": true
},
{
"agent_id": "runway_fpa",
"name": "Runway FP&A",
"price": {
"commercial": {
"entry_offer": {
"line": "Standard",
"monthly_native": 15,
"monthly_usd": 15,
"commitment": "monthly",
"basis": "$15/month",
"billing_verified": true
},
"annual_option": {
"line": "Standard (annual billing)",
"monthly_equivalent_native": 12,
"total_native": 144
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0 /mo",
"kind": "free",
"billed": "monthly"
},
{
"name": "Standard",
"price": "$15 /month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Standard (annual billing)",
"price": "$12 /mo billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Pro",
"price": "$35 /month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro (annual billing)",
"price": "$28 /mo billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Max",
"price": "$95 /month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Max (annual billing)",
"price": "$76 /mo billed annually",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 15,
"monthly_usd": 15,
"headline": "Free plan; paid from $15/mo; $12/mo equivalent billed annually",
"summary": "Free plan; paid from $15/mo; $12/mo equivalent billed annually. Runway offers a free forever plan with paid Standard, Pro, and Max subscriptions starting at $15/month month-to-month or $12/month when billed annually."
},
"observed": true
},
{
"agent_id": "clearfactr",
"name": "Clearfactr",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "MCP Server",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. The ClearFactr MCP Server is shown with a $0 offer, but no billing period or detailed plan information is provided."
},
"observed": true
},
{
"agent_id": "revenue_ai",
"name": "Revenue Ai",
"price": {
"commercial": {
"currency": "USD",
"lines": []
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Pricing is not publicly displayed; customers must book a demo or contact sales."
},
"observed": true
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "fpa-scenario-modelling"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "fpa-scenario-modelling",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "anaplan_anomaly_detector"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "anaplan_anomaly_detector"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
4 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
LayerzLayerz is a structured financial modeling layer for AI agents. Build, version, and audit financial models without drift, then export to Excel, from Claude or a…
Runway FP&ACollaborative financial planning, reporting, forecasting, and scenario simulation (what-if analysis) for FP&A teams
Shopify Partner AgentMCP server connecting Claude to Shopify Partner API for revenue analytics. Provides 25 tools for MRR tracking, churn analysis, retention cohorts, merchant heal…Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.