Dock Scheduling Agent
Query this niche via MCP
niche_report({ niche: "dock-scheduling-agent" })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.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "dock-scheduling-agent",
"parent_sector": "logistics-supply-chain",
"provider_type_pricing": {
"slug": "dock-scheduling-agent",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 249,
"p25": null,
"p75": null,
"providers": 1
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 1,
"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": [
"freight-shipping-coordinator",
"shipping-rate-negotiation",
"freight-broker-workflow",
"warehouse-picking-optimization",
"freight-invoice-audit-agent",
"route-optimization"
],
"market_pulse": {
"pulse": 55,
"drivers": [
"1 new builder in 30d"
],
"price_move_30d_pct": null,
"money_share": null,
"entry_rate": 0.09090909090909091,
"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
],
"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
],
"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
],
"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
]
},
"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": 1,
"pro": 1,
"team_sme": 1,
"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": 1,
"byPersona": {
"free": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 249,
"p25": 249,
"p75": 249,
"min": 249,
"max": 249,
"mean": 249,
"stdev": 0,
"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": 2,
"nPriced": 2,
"reliability": "low",
"median": 749,
"p25": 624,
"p75": 874,
"min": 499,
"max": 999,
"mean": 749,
"stdev": 353.55,
"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": 1,
"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": 2,
"p25": 624,
"median": 749,
"p75": 874,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "insufficient",
"cohorts": [],
"rejected": {
"unrankable_or_unparseable": 1
},
"evidence": {
"status": "single_observation",
"single_observations": [
{
"tier": "individual",
"unit": "flat",
"provider": "logistify_ai",
"monthly_usd": 249
},
{
"tier": "team_sme",
"unit": "flat",
"provider": "logistify_ai",
"monthly_usd": 749
}
],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "logistify_ai",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$249 /mo",
"monthly_usd": 249
},
{
"provider": "logistify_ai",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$499 /mo",
"monthly_usd": 499
},
{
"provider": "logistify_ai",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$999 /mo",
"monthly_usd": 999
}
]
}
],
"coverage": {
"priced_providers": 1,
"normalized_observations": 3,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {
"unrankable_or_unparseable": 1
}
}
}
},
"billingMix": {
"subscription": 1
},
"freeTierShare": 0,
"medianLowestUsd": 249
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-19",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 100,
"pairs": 2,
"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": "ai_warehouse_dock_optimisation",
"name": "Ai Warehouse Dock Optimisation",
"url": "https://virtualworkforce.ai/ai-assistant-for-cross-dock-operations",
"short_summary": "Grounds email and task automation in ERP/TMS/WMS context for cross-dock operations; drafts/labels logistics correspondence and appointment emails inside Outloo…",
"price": {
"observed": false,
"billing": "unknown",
"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": "dayjob",
"name": "Dayjob",
"url": "https://getdayjob.ai/",
"short_summary": "automatically schedules and re-plans routes/jobs for skip and industrial logistics fleets",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Dayjob does not publish a public subscription price on the available homepage."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "logistify_ai",
"name": "AI Agents for Supply Chain",
"url": "https://logistify.ai/agents/dock-scheduling",
"short_summary": "Manages dock appointment scheduling for carriers — receives booking requests, checks availability, negotiates and confirms slots, updates the dock schedule, mo…",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 249,
"monthly_usd": 249,
"headline": "From $249/mo",
"summary": "From $249/mo. Public subscription plans start at $249 per month for 4 AI Agents and 150 AI tasks, while Enterprise pricing is custom."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "terminal_industries",
"name": "Agentic AI Technology",
"url": "https://terminal-industries.com/all-resources/inside-terminal-s-agentic-ai-the-technology-behind-yard-orchestration",
"short_summary": "autonomously orchestrates yard operations, such as re-prioritizing dock doors, dispatching shunters, and re-sequencing the spotter queue to resolve bottlenecks",
"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": "opendock_mcp",
"name": "Opendock",
"url": "https://blog.opendock.com/dock-scheduling-api-mcp-server",
"short_summary": "MCP server that enables AI agents to schedule dock appointments across 4,000+ warehouses. Provides structured access to Opendock's scheduling API with automati…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription terms were observed in the supplied Opendock pages."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "scoti",
"name": "Scoti",
"url": "https://cscs.io/yard-management-system-yms-optimize-logistics-yard-operations/",
"short_summary": "AI-powered yard management system that automates truck check-in, appointment scheduling, dock assignment, yard orchestration, and exception handling using comp…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is displayed for the SCOTI™ Yard Management System, and the linked pricing page returns a 404."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/dock-scheduling-agent",
"summary": {
"niche": "dock-scheduling-agent",
"sector": "logistics-supply-chain",
"pricing_by_provider_type": {
"headline": "No published benchmark for dock-scheduling-agent 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": "dock-scheduling-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/dock-scheduling-agent",
"counts": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 1,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"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": "single_observation",
"pricing_by_tier": null,
"single_observations": [
{
"tier": "individual",
"unit": "flat",
"provider": "logistify_ai",
"monthly_usd": 249
},
{
"tier": "team_sme",
"unit": "flat",
"provider": "logistify_ai",
"monthly_usd": 749
}
],
"pricing_coverage": {
"listings_with_price_capture": 6,
"listings_with_observed_public_price": 1,
"normalized_observations": 3,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {
"unrankable_or_unparseable": 1
}
},
"pricing_note": "Only ONE provider in this niche publishes a comparable price — returned as a single observation, NOT a benchmark, median or fair price. See adjacent_pricing or confirm the niche to widen the sample.",
"pricing_excluded_observations": {
"unrankable_or_unparseable": 1
},
"billing_mix": {
"subscription": 1
},
"free_tier_share": 0,
"top_providers": [
{
"agent_id": "ai_warehouse_dock_optimisation",
"name": "Ai Warehouse Dock Optimisation",
"price": {
"observed": false,
"billing": "unknown",
"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": "dayjob",
"name": "Dayjob",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "Dayjob does not publish a public subscription price on the available homepage."
},
"observed": false
},
{
"agent_id": "logistify_ai",
"name": "AI Agents for Supply Chain",
"price": {
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 249,
"monthly_usd": 249,
"headline": "From $249/mo",
"summary": "From $249/mo. Public subscription plans start at $249 per month for 4 AI Agents and 150 AI tasks, while Enterprise pricing is custom."
},
"observed": true
},
{
"agent_id": "terminal_industries",
"name": "Agentic AI Technology",
"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": "opendock_mcp",
"name": "Opendock",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription terms were observed in the supplied Opendock pages."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "dock-scheduling-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "dock-scheduling-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "ai_warehouse_dock_optimisation"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "ai_warehouse_dock_optimisation"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
1 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.