AI Retail POS Agent
Query this niche via MCP
niche_report({ niche: "ai-retail-pos-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": "ai-retail-pos-agent",
"parent_sector": "ecommerce-retail",
"provider_type_pricing": {
"slug": "ai-retail-pos-agent",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 22,
"p25": null,
"p75": null,
"providers": 1
},
"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": 1,
"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": "empty",
"observed_node_count": 0,
"adjacent_niches": [
"product-listing-optimization-ecom",
"amazon-seller-automation",
"review-summarisation-ecom",
"dynamic-pricing",
"return-processing-rma",
"ecommerce-replenishment-agent"
],
"market_pulse": {
"pulse": 43,
"drivers": [
"1 new builder in 30d"
],
"price_move_30d_pct": null,
"money_share": null,
"entry_rate": 0.1111111111111111,
"alive_share": 1
},
"price_move": {
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"w_pct": 0,
"m_pct": 0,
"comparable_agents": 1,
"quarantined_agents": 0,
"confidence": "insufficient",
"published": {
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"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
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"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
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"enterprise": 0
},
"m": {
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}
},
"tier_series": {
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},
"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": 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,
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"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 4,
"observed": 1,
"byPersona": {
"free": {
"n": 1,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
},
"individual": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 22,
"p25": 22,
"p75": 22,
"min": 22,
"max": 22,
"usageShare": 0
},
"pro": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 43.38,
"p25": 43.38,
"p75": 43.38,
"min": 43.38,
"max": 43.38,
"usageShare": 0
},
"team_sme": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
},
"enterprise": {
"n": 0,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"usageShare": 0
}
},
"byPersonaMonthly": {
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"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": 1,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
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"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": {},
"evidence": {
"status": "single_observation",
"single_observations": [
{
"tier": "individual",
"unit": "flat",
"provider": "kash",
"monthly_usd": 22
},
{
"tier": "pro",
"unit": "flat",
"provider": "kash",
"monthly_usd": 43.38
}
],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "kash",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$22/mo",
"monthly_usd": 22
},
{
"provider": "kash",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$43.38/mo",
"monthly_usd": 43.38
}
]
}
],
"coverage": {
"priced_providers": 1,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {}
}
}
},
"billingMix": {
"freemium": 1
},
"freeTierShare": 1,
"medianLowestUsd": 22
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-09",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-10",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-11",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-12",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-13",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-14",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-15",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-16",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-17",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"day": "2026-07-18",
"index": 100,
"pairs": 2,
"dayChangePct": 0
},
{
"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
}
],
"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": "kash",
"name": "Kash",
"url": "https://kash.click",
"short_summary": "point-of-sale cash register management including payment processing, inventory tracking, and customer management",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 22,
"monthly_usd": 22,
"headline": "Free tier, then from $22/mo",
"summary": "Free tier, then from $22/mo. Kash.click offers a permanent free plan, with paid Essential and Premium plans at $22/mo and $43.38/mo, or discounted annual billing."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "agentic_retail_automation_plat",
"name": "Agentic Retail Automation Platform",
"url": "https://impactanalytics.ai/agentic-retail-automation",
"short_summary": "Builds, governs, and deploys no-code AI agents that automate retail workflows including pricing, supply chain, store operations, merchandising, and demand plan…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing is shown on the provided homepage or pricing page."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "quickfront",
"name": "Quickfront",
"url": "https://quickfront.app/",
"short_summary": "Business automation platform for Nigerian merchants featuring AI-powered storefronts, payments, inventory management, and an AI sales agent that handles custom…",
"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": "sapo_mcp",
"name": "Sapo",
"url": "https://sapo-mcp-overview.pages.dev",
"short_summary": "Model Context Protocol server for Sapo.vn e-commerce & POS platform. Exposes 105 tools across 4 modes (pos-online, web, pos-counter, analytics) via stdio and H…",
"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": [
{
"agent_id": "dreamztech_retail_agents",
"name": "Dreamztech Retail Agents",
"url": "https://dreamztech.com/industries/ai-agents-retail",
"short_summary": "Multi-agent retail automation platform for shopper assistance, dynamic pricing, inventory optimization, returns processing, and loss prevention. Built on Claud…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS or agent pricing is shown; the homepage directs buyers to request a custom quote."
},
"home_niche": "dynamic-pricing",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "ibl_ai",
"name": "Ibl Ai",
"url": "https://ibl.ai/resources/enterprise/retail-ecommerce",
"short_summary": "Deploys autonomous AI agents for retail/e-commerce that monitor inventory, coordinate logistics/supply chain, train frontline staff, analyze customer churn, co…",
"price": {
"observed": true,
"billing": "one-time",
"lowest_monthly_usd": 15000,
"monthly_usd": 15000,
"headline": "From $15000/mo",
"summary": "From $15000/mo. ibl.ai offers free-to-start usage credits plus one-time pilot, deployment, and codebase-transfer engagements priced from $15,000 to six figures."
},
"home_niche": "vertical-ai-agent-platform",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/ai-retail-pos-agent",
"summary": {
"niche": "ai-retail-pos-agent",
"sector": "ecommerce-retail",
"pricing_by_provider_type": {
"headline": "No published benchmark for ai-retail-pos-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": "ai-retail-pos-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/ai-retail-pos-agent",
"counts": {
"listings_with_price_capture": 4,
"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": "kash",
"monthly_usd": 22
},
{
"tier": "pro",
"unit": "flat",
"provider": "kash",
"monthly_usd": 43.38
}
],
"pricing_coverage": {
"listings_with_price_capture": 4,
"listings_with_observed_public_price": 1,
"normalized_observations": 2,
"comparable_providers": 1,
"strict_cohorts": 0,
"exclusion_reasons": {}
},
"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": {},
"billing_mix": {
"freemium": 1
},
"free_tier_share": 1,
"top_providers": [
{
"agent_id": "kash",
"name": "Kash",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 22,
"monthly_usd": 22,
"headline": "Free tier, then from $22/mo",
"summary": "Free tier, then from $22/mo. Kash.click offers a permanent free plan, with paid Essential and Premium plans at $22/mo and $43.38/mo, or discounted annual billing."
},
"observed": true
},
{
"agent_id": "agentic_retail_automation_plat",
"name": "Agentic Retail Automation Platform",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing is shown on the provided homepage or pricing page."
},
"observed": false
},
{
"agent_id": "quickfront",
"name": "Quickfront",
"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": "sapo_mcp",
"name": "Sapo",
"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
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "ai-retail-pos-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "ai-retail-pos-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "kash"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "kash"
},
"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.
