Fpa Scenario Modelling
Query this niche via MCP
niche_report({ niche: "fpa-scenario-modelling" })Agents · median
MCP servers · median
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each dot = one provider · log scaleNo providers priced at the All tier yet.
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0 pricedProvidervs its cohort medianMonthly
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
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See the MCP response behind this pageniche_report
{
"niche": "fpa-scenario-modelling",
"parent_sector": "finance-ops",
"provider_type_pricing": {
"slug": "fpa-scenario-modelling",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
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"p25": null,
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"providers": 2
},
"by_provider_type": {
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"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
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"confidence": "insufficient",
"reason": "Fewer than three comparable priced MCP servers are available."
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "sparse",
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"adjacent_niches": [
"tax-compliance-smb",
"audit-prep",
"spend-management-saas",
"procure-to-pay-agent",
"vendor-risk-assessment",
"treasury-cash-management"
],
"market_pulse": {
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"2 new builders in 30d"
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},
"pricing": {
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"observed": 5,
"byPersona": {
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"byTierCohorts": {
"status": "insufficient",
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"evidence": {
"status": "observed_offers_only",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "runway_fpa",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$15/month",
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{
"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": "€29 /editor/month excl. tax",
"monthly_usd": 33.06
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "layerz",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom · from 2,000 €",
"monthly_usd": null
},
{
"provider": "runway_fpa",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact Us",
"monthly_usd": null
}
]
}
],
"coverage": {
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"comparable_providers": 2,
"strict_cohorts": 0,
"exclusion_reasons": {
"ambiguous_cadence": 2
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}
}
},
"billingMix": {
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"free": 2,
"contact_sales": 1
},
"freeTierShare": 0.8,
"medianLowestUsd": 26.78
},
"movement": {
"niche": "fpa-scenario-modelling",
"sector": "finance-ops",
"pricedNow": 2,
"pairs": 2,
"repriced": [
{
"handle": "layerz",
"from": 33.38,
"to": 33.44,
"pct": 0.2
}
],
"newlyPriced": [],
"droppedFromPriced": [],
"likeForLikePct": 0.1,
"kind": "repricing",
"narrative": "Genuine repricing: 1 agent repriced — all up (avg +0.1%)."
},
"index_series": {
"series": [
{
"day": "2026-07-09",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-10",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-11",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-12",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-13",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-14",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-15",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-16",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-17",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-18",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-19",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 3,
"dayChangePct": 0
}
],
"latest": 100,
"day_change_pct": 0,
"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."
},
"top_agents": [
{
"agent_id": "anaplan_anomaly_detector",
"name": "Anomaly Detector Agent",
"url": "https://anaplan.com/platform/anomaly-detector-agent",
"short_summary": "Detects, explains and resolves anomalies in planning data and data pipelines to maintain planning accuracy",
"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."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "layerz",
"name": "Layerz",
"url": "https://app.layerz.cc/for-agents",
"short_summary": "Layerz 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…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 33.44,
"monthly_usd": 38.56,
"headline": "Free tier, then from $33.44/mo",
"summary": "Free tier, then from $33.44/mo. Layerz offers a permanent free individual plan, team collaboration at €29 per editor per month, and custom done-for-you services from €2,000."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "runway_fpa",
"name": "Runway FP&A",
"url": "https://runway.com",
"short_summary": "Collaborative financial planning, reporting, forecasting, and scenario simulation (what-if analysis) for FP&A teams",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 15,
"monthly_usd": 15,
"headline": "Free tier, then from $15/mo",
"summary": "Free tier, then from $15/mo. Runway offers a permanent free plan, three paid Creative plans from $15/month, and custom-priced Enterprise plans, with lower monthly rates when billed annually."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "clearfactr",
"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": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "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": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "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": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "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": "€29 /editor/month excl. tax",
"monthly_usd": 33.06
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "layerz",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom · from 2,000 €",
"monthly_usd": null
},
{
"provider": "runway_fpa",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact Us",
"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": 2
}
},
"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": 2
},
"billing_mix": {
"freemium": 2,
"free": 2,
"contact_sales": 1
},
"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": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 33.44,
"monthly_usd": 38.56,
"headline": "Free tier, then from $33.44/mo",
"summary": "Free tier, then from $33.44/mo. Layerz offers a permanent free individual plan, team collaboration at €29 per editor per month, and custom done-for-you services from €2,000."
},
"observed": true
},
{
"agent_id": "runway_fpa",
"name": "Runway FP&A",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 15,
"monthly_usd": 15,
"headline": "Free tier, then from $15/mo",
"summary": "Free tier, then from $15/mo. Runway offers a permanent free plan, three paid Creative plans from $15/month, and custom-priced Enterprise plans, with lower monthly rates when billed annually."
},
"observed": true
},
{
"agent_id": "clearfactr",
"name": "Clearfactr",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "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": {
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "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.