Demand Forecasting
Query this niche via MCP
market_report({ query: "Demand Forecasting", 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 Demand Forecasting (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
{
"niche": "demand-forecasting",
"parent_sector": "manufacturing-industrial",
"provider_type_pricing": {
"slug": "demand-forecasting",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": null,
"p25": null,
"p75": null,
"providers": 0
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"publishable": false,
"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": "emerging",
"observed_node_count": 3,
"adjacent_niches": [
"inventory-optimization",
"iso-compliance-documentation",
"production-schedule-optimization",
"production-yield-optimization",
"defect-detection-vision",
"anomaly-classification-agent"
],
"market_pulse": {
"pulse": 67,
"drivers": [
"enterprise money present"
],
"price_move_30d_pct": null,
"money_share": 1,
"entry_rate": 0,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 1,
"quarantined_agents": 0,
"confidence": "insufficient",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 0,
"pro": 1,
"team_sme": 0,
"enterprise": 0
},
"obs_range": {
"d": null,
"w": null,
"m": null
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 6,
"observed": 3,
"byPersona": {
"free": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"pro": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"team_sme": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"enterprise": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"pro": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "insufficient",
"cohorts": [],
"rejected": {
"ambiguous_cadence": 1
},
"evidence": {
"status": "observed_offers_only",
"single_observations": [],
"observed_offers": [
{
"billing": "unspecified_period",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "demand_forecasting_ai_agent",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom Pricing",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 1,
"normalized_observations": 0,
"comparable_providers": 0,
"strict_cohorts": 0,
"exclusion_reasons": {
"ambiguous_cadence": 1
}
}
}
},
"quoteOnlyProvidersByTier": {
"enterprise": 1
},
"billingMix": {
"contact_sales": 3
},
"freeTierShare": 0,
"medianLowestUsd": null
},
"movement": {
"niche": "demand-forecasting",
"sector": "manufacturing-industrial",
"pricedNow": 0,
"pairs": 0,
"repriced": [],
"newlyPriced": [],
"droppedFromPriced": [
"demand_forecasting_ai_agent"
],
"likeForLikePct": null,
"kind": "composition",
"narrative": "Composition change (average moved, but no agent changed its price): 1 stopped showing a public price."
},
"index_series": {
"series": [
{
"day": "2026-09-15",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-09-16",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-17",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-18",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-19",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 100,
"pairs": 1,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 100,
"pairs": 1,
"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": "demand_forecasting_ai_agent",
"name": "Demand Forecasting AI Agent",
"url": "https://domo.com/ai/agents/demand-forecasting-ai-agent",
"short_summary": "Analyzes historical weather data against forecasts to predict regional demand surges for service businesses and sends proactive email alerts so teams can staff…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free Trial",
"price": "Free trial",
"kind": "trial"
},
{
"name": "Custom Pricing",
"price": "Custom Pricing",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Domo offers a 30-day platform trial with no credit card required, while ongoing access is custom-priced through sales."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "maisy_ai_agent",
"name": "MAISY Agent-Based Models",
"url": "https://maisy.com/menergy.htm",
"short_summary": "forecasts energy use and hourly electric loads, evaluates smart grid and demand response programs, and assesses new technology market penetration and cost/bene…",
"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). MAISY AI offers custom energy forecasting models and services; pricing requires contacting the company directly."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "abm_agentic_ai_forecasting",
"name": "Abm Agentic Ai Forecasting",
"url": "https://abmcloud.com/en/abm-soft/agentic-ai-demand-forecasting",
"short_summary": "Interactive AI assistant for retail demand forecasting and promotion planning. Explains ML forecast reasoning, validates data, identifies risks, and finds hist…",
"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": "unclear",
"upvotes": 0
},
{
"agent_id": "demand_forecasting_agent",
"name": "Demand Forecasting Agent",
"url": "https://nextigent.ai/agents/demand-forecasting-agent/",
"short_summary": "An AI agent for demand forecasting, offered by Nextigent.",
"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 listed; prospective customers are directed to contact the company for a custom plan or agent demo."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "intellectyx_demand_forecasting",
"name": "Intellectyx Demand Forecasting",
"url": "https://intellectyx.com/demand-forecasting-ai-agents",
"short_summary": "AI agents for manufacturing that analyze sales history, market trends, and inventory data to predict demand, optimize stock levels, and reduce stockouts. Integ…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or fixed plans are shown; the site directs prospective customers to book or request a demo."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "sktime_mcp",
"name": "Sktime",
"url": "https://sktime-mcp.readthedocs.io/en/latest/",
"short_summary": "MCP server exposing sktime's time-series forecasting capabilities to AI assistants. Enables stateful discovery, instantiation, and execution of complex forecas…",
"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": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/demand-forecasting",
"summary": {
"niche": "demand-forecasting",
"sector": "manufacturing-industrial",
"pricing_by_provider_type": {
"headline": "No published benchmark for demand-forecasting 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": "demand-forecasting"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/demand-forecasting",
"counts": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 3,
"providers_with_numeric_monthly_price_latest_scan": 0,
"like_for_like_comparable_pairs": 0
},
"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": "unspecified_period",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "demand_forecasting_ai_agent",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom Pricing",
"monthly_usd": null
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 3,
"normalized_observations": 0,
"comparable_providers": 0,
"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": {
"contact_sales": 3
},
"free_tier_share": 0,
"top_providers": [
{
"agent_id": "demand_forecasting_ai_agent",
"name": "Demand Forecasting AI Agent",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free Trial",
"price": "Free trial",
"kind": "trial"
},
{
"name": "Custom Pricing",
"price": "Custom Pricing",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Domo offers a 30-day platform trial with no credit card required, while ongoing access is custom-priced through sales."
},
"observed": true
},
{
"agent_id": "maisy_ai_agent",
"name": "MAISY Agent-Based Models",
"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). MAISY AI offers custom energy forecasting models and services; pricing requires contacting the company directly."
},
"observed": true
},
{
"agent_id": "abm_agentic_ai_forecasting",
"name": "Abm Agentic Ai Forecasting",
"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": "demand_forecasting_agent",
"name": "Demand Forecasting Agent",
"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 listed; prospective customers are directed to contact the company for a custom plan or agent demo."
},
"observed": true
},
{
"agent_id": "intellectyx_demand_forecasting",
"name": "Intellectyx Demand Forecasting",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or fixed plans are shown; the site directs prospective customers to book or request a demo."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "demand-forecasting"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "demand-forecasting",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "demand_forecasting_ai_agent"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "demand_forecasting_ai_agent"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
0 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
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.