AI Spreadsheet Agent
Query this niche via MCP
market_report({ query: "AI Spreadsheet Agent", response_mode: "summary" })Agents · median
$34/mo
MCP servers · median
All plans — Agents vs MCPs
each dot = one provider · log scaleAgents $34
Pelayar Spreadsheet Agent · $8
excelmaster · $10
sheetai · $12
sheetai · $27
Pelayar Spreadsheet Agent · $34
excelmaster · $55
Shortcut Ai · $100
Shortcut Ai · $320
Pelayar Spreadsheet Agent · $349
$10
$25
$50
$100
$250
AgentsMCP serversshaded = middle half · line = median
All plans
9 pricedProvidervs its cohort medianMonthly
Pelayar Spreadsheet Agentagent
$8 below
excelmasteragent
$10 below
sheetaiagent
$12 below
sheetaiagent
$27 below
Pelayar Spreadsheet Agentagent
$34 ~median
excelmasteragent
$55 above
Shortcut Aiagent
$100 above
Shortcut Aiagent
$320 above
Pelayar Spreadsheet Agentagent
$349 above
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 AI Spreadsheet Agent (latest observation 2026-10-23T03:50:56.435Z). 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": "ai-spreadsheet-agent",
"parent_sector": "finance-ops",
"provider_type_pricing": {
"slug": "ai-spreadsheet-agent",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 25.5,
"p25": null,
"p75": null,
"providers": 6
},
"by_provider_type": {
"agent": {
"median": 12,
"p25": null,
"p75": null,
"providers": 5,
"publishable": true,
"confidence": "moderate"
},
"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": "emerging",
"observed_node_count": 4,
"adjacent_niches": [
"tax-compliance-smb",
"audit-prep",
"spend-management-saas",
"fpa-scenario-modelling",
"procure-to-pay-agent",
"vendor-risk-assessment"
],
"market_pulse": {
"pulse": 49,
"drivers": [
"enterprise money present"
],
"price_move_30d_pct": 12.3,
"money_share": 0.36363636363636365,
"entry_rate": 0,
"alive_share": 0.9565217391304348
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 6,
"quarantined_agents": 0,
"confidence": "high",
"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,
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,
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,
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,
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": 4,
"pro": 5,
"team_sme": 4,
"enterprise": 1
},
"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": 19,
"observed": 11,
"byPersona": {
"free": {
"n": 8,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 6,
"nPriced": 4,
"reliability": "low",
"median": 9.12,
"p25": 8.19,
"p75": 10.49,
"min": 8,
"max": 12,
"mean": 9.56,
"stdev": 1.85,
"usageShare": 0.33
},
"pro": {
"n": 12,
"nPriced": 10,
"reliability": "medium",
"median": 44,
"p25": 29.25,
"p75": 82.44,
"min": 19,
"max": 100,
"mean": 55.24,
"stdev": 32.01,
"usageShare": 0.17
},
"team_sme": {
"n": 7,
"nPriced": 5,
"reliability": "medium",
"median": 199,
"p25": 199,
"p75": 320,
"min": 33.25,
"max": 499,
"mean": 250.05,
"stdev": 172.54,
"usageShare": 0.29
},
"enterprise": {
"n": 3,
"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": 4,
"p25": 8.19,
"median": 9.12,
"p75": 10.49,
"confidence": "low",
"usageShare": 0.33,
"mixedBilling": true,
"monthlyComparable": true
},
"pro": {
"nMonthly": 10,
"p25": 29.25,
"median": 44,
"p75": 82.44,
"confidence": "medium",
"usageShare": 0.17,
"mixedBilling": true,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 5,
"p25": 199,
"median": 199,
"p75": 320,
"confidence": "medium",
"usageShare": 0.29,
"mixedBilling": true,
"monthlyComparable": true
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "ok",
"cohorts": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 11,
"provider_count": 4,
"plan_observation_count": 4,
"data_confidence": 0.31,
"data_confidence_basis": {
"provider_component": 0.33,
"observation_component": 0.2,
"provider_count": 4,
"plan_observation_count": 4
},
"reliability": "low",
"members": [
{
"provider": "pelayar_spreadsheet_agent",
"usd": 8
},
{
"provider": "excelmaster",
"usd": 9.99
},
{
"provider": "sheetai",
"usd": 12
},
{
"provider": "the",
"usd": 99
}
]
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 54.99,
"provider_count": 5,
"plan_observation_count": 8,
"data_confidence": 0.41,
"data_confidence_basis": {
"provider_component": 0.42,
"observation_component": 0.4,
"provider_count": 5,
"plan_observation_count": 8
},
"reliability": "medium",
"members": [
{
"provider": "sheetai",
"usd": 26.59
},
{
"provider": "pelayar_spreadsheet_agent",
"usd": 34
},
{
"provider": "excelmaster",
"usd": 54.99
},
{
"provider": "shortcut_ai",
"usd": 100
},
{
"provider": "the",
"usd": 999
}
],
"p25": 34,
"p75": 100
},
{
"tier": "team_sme",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 349,
"provider_count": 3,
"plan_observation_count": 4,
"data_confidence": 0.24,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.2,
"provider_count": 3,
"plan_observation_count": 4
},
"reliability": "low",
"members": [
{
"provider": "shortcut_ai",
"usd": 320
},
{
"provider": "pelayar_spreadsheet_agent",
"usd": 349
},
{
"provider": "the",
"usd": 399
}
]
}
],
"rejected": {
"one_time": 6,
"ambiguous_cadence": 3
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 16,
"offers": [
{
"provider": "excelmaster",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$9.99 / MONTH",
"monthly_usd": 9.99
},
{
"provider": "excelmaster",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$29.99 / MONTH",
"monthly_usd": 29.99
},
{
"provider": "excelmaster",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$79.99 / MONTH",
"monthly_usd": 79.99
},
{
"provider": "pelayar_spreadsheet_agent",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$8/month",
"monthly_usd": 8
},
{
"provider": "pelayar_spreadsheet_agent",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$19/month",
"monthly_usd": 19
},
{
"provider": "pelayar_spreadsheet_agent",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$49/month",
"monthly_usd": 49
},
{
"provider": "pelayar_spreadsheet_agent",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$199/month",
"monthly_usd": 199
},
{
"provider": "pelayar_spreadsheet_agent",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$499/month",
"monthly_usd": 499
},
{
"provider": "sheetai",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$12/month",
"monthly_usd": 12
},
{
"provider": "sheetai",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$29/month",
"monthly_usd": 29
},
{
"provider": "sheetai",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$290/year",
"monthly_usd": 24.17
},
{
"provider": "shortcut_ai",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$100 / month",
"monthly_usd": 100
},
{
"provider": "shortcut_ai",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$320 / month",
"monthly_usd": 320
},
{
"provider": "the",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$99 per month, billed annually",
"monthly_usd": 99
},
{
"provider": "the",
"tier": "team_sme",
"billing": "monthly",
"unit": "flat",
"price": "$399 per month, billed annually",
"monthly_usd": 399
},
{
"provider": "the",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$999 per month, billed annually",
"monthly_usd": 999
}
]
},
{
"billing": "monthly",
"unit": "per_user",
"count": 3,
"offers": [
{
"provider": "ajelix",
"tier": "pro",
"billing": "monthly",
"unit": "per_user",
"price": "$39 user/month – billed monthly",
"monthly_usd": 39
},
{
"provider": "ajelix",
"tier": "pro",
"billing": "monthly",
"unit": "per_user",
"price": "$99 user/month – billed monthly",
"monthly_usd": 99
},
{
"provider": "ajelix",
"tier": "team_sme",
"billing": "monthly",
"unit": "per_user",
"price": "$199 user/month – billed monthly",
"monthly_usd": 199
}
]
},
{
"billing": "one_time",
"unit": "flat",
"count": 6,
"offers": [
{
"provider": "excelmaster",
"tier": "individual",
"billing": "one_time",
"unit": "flat",
"price": "$4.99",
"monthly_usd": null
},
{
"provider": "excelmaster",
"tier": "individual",
"billing": "one_time",
"unit": "flat",
"price": "$14.99",
"monthly_usd": null
},
{
"provider": "sheetai",
"tier": "pro",
"billing": "one_time",
"unit": "flat",
"price": "$29",
"monthly_usd": null
},
{
"provider": "sheetai",
"tier": "pro",
"billing": "one_time",
"unit": "flat",
"price": "$79",
"monthly_usd": null
},
{
"provider": "sheetai",
"tier": "team_sme",
"billing": "one_time",
"unit": "flat",
"price": "$139",
"monthly_usd": null
},
{
"provider": "sheetai",
"tier": "team_sme",
"billing": "one_time",
"unit": "flat",
"price": "$299",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "pelayar_spreadsheet_agent",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "shortcut_ai",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "the",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 6,
"normalized_observations": 19,
"comparable_providers": 6,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 6,
"ambiguous_cadence": 3
}
}
}
},
"quoteOnlyProvidersByTier": {
"pro": 0,
"team_sme": 0,
"individual": 0,
"enterprise": 3
},
"billingMix": {
"subscription": 2,
"free": 4,
"contact_sales": 1,
"freemium": 4
},
"freeTierShare": 0.73,
"medianLowestUsd": 25.5
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-09-24",
"index": 100,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 100,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-15",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-16",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-17",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-18",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-19",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-20",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-21",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-22",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-23",
"index": 100,
"pairs": 14,
"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_spreadsheet_analysis_agent_",
"name": "AI Spreadsheet Analysis Agent",
"url": "https://v7labs.com/agents/ai-spreadsheet-analysis-agent",
"short_summary": "analyzes spreadsheet data by answering plain English questions, performing calculations, summarization, and generating charts",
"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). V7 Labs does not publish standard plan prices and scopes annual agreements through a custom quote."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "ajelix",
"name": "Ajelix",
"url": "https://ajelix.com/",
"short_summary": "Transforms uploaded data into completed deliverables such as Excel files, dashboards, presentations, apps, formulas, and VBA scripts via an agentic AI chat wor…",
"price": {
"commercial": {
"entry_offer": {
"line": "Plan 1",
"monthly_native": 39,
"monthly_usd": 39,
"commitment": "monthly",
"basis": "$39 per user/month × 1",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Plan 1",
"price": "$39 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
},
{
"name": "Plan 2",
"price": "$99 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
},
{
"name": "Plan 3",
"price": "$199 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "From $39/mo ($39 per user/month × 1)",
"summary": "From $39/mo ($39 per user/month × 1). Ajelix publicly lists three subscription prices billed monthly at $39, $99, and $199 per user."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "excel",
"name": "Excel",
"url": "https://smithery.ai/server/excel",
"short_summary": "Work with spreadsheets — read, write, and format cells, run formulas, create charts, and manage worksheets programmatically.",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for the Excel server page."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "the",
"name": "The",
"url": "https://tokenbooks.io",
"short_summary": "One double-entry ledger for crypto and fiat: wallet sync, cost basis, journal entries, reports.",
"price": {
"commercial": {
"entry_offer": {
"line": "Solo",
"monthly_native": 99,
"monthly_usd": 99,
"commitment": "annual",
"basis": "$99/month, billed annually (annual commitment)"
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Solo",
"price": "$99 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Growth",
"price": "$399 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Treasury",
"price": "$999 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 99,
"monthly_usd": 99,
"headline": "Free plan; paid from $99/mo (annual commitment)",
"summary": "Free plan; paid from $99/mo (annual commitment). Tokenbooks offers a free tier, paid plans shown at $99, $399, and $999 per month billed annually, plus a custom Enterprise plan."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "bilig",
"name": "Bilig",
"url": "https://proompteng.github.io/bilig/",
"short_summary": "Headless workbook runtime for Node that executes spreadsheet formulas in backend services. Enables pricing, approval, and validation rules to run as formula-ba…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or paid plan amounts were observed on the homepage."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "excel_mcp_server",
"name": "Excel",
"url": "https://excelmcpserver.dev/",
"short_summary": "MCP server and CLI that automates Microsoft Excel—Power Query, DAX, VBA, PivotTables—via natural language from AI agents like Claude and GitHub Copilot. Runs l…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. The Excel MCP Server is offered at no cost under an MIT license, with no paid plan details publicly shown."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "excel_mcp_server_2",
"name": "Excel Mcp Server 2",
"url": "https://excelmcpserver.com",
"short_summary": "MCP server enabling AI agents to create, read, and modify Excel workbooks without Microsoft Excel. Supports data operations, formatting, formulas, charts, and…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. Excel MCP Server is presented as a free, open-source product with no public monthly billing period shown."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "excelmaster",
"name": "Excelmaster",
"url": "https://excelmaster.ai/",
"short_summary": "AI agent for Excel that writes VBA code, generates formulas, runs Python scripts, and cleans data autonomously. Reads actual workbook structure and executes ta…",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 9.99,
"monthly_usd": 9.99,
"commitment": "monthly",
"basis": "$9.99/month",
"billing_verified": true
},
"currency": "USD",
"notes": [
"prepaid credit: $4.99 (funding, not a subscription)"
],
"lines": [
{
"name": "Starter",
"price": "$9.99 / MONTH",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$29.99 / MONTH",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Premium",
"price": "$79.99 / MONTH",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Credit Pack - 200 Credits",
"price": "$4.99",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Credit Pack - 600 Credits",
"price": "$14.99",
"kind": "credit_purchase",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 9.99,
"monthly_usd": 9.99,
"headline": "From $9.99/mo",
"summary": "From $9.99/mo. ExcelMaster offers three monthly subscription tiers from $9.99 to $79.99, plus one-time credit packs priced from $4.99."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "exstruct",
"name": "Exstruct",
"url": "https://harumiweb.github.io/exstruct/",
"short_summary": "Extracts structured data from Excel workbooks and edits them via JSON-first CLI or MCP server. Outputs JSON, YAML, or TOON with layout semantics for AI workflo…",
"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": "kimi_sheets",
"name": "Kimi Sheets",
"url": "https://kimi.com/features/sheets",
"short_summary": "AI Excel agent that builds professional spreadsheets with formulas, pivot tables, and charts from natural language instructions. Handles data analysis, financi…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Kimi 表格",
"price": "$0",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. Kimi 表格 is listed with a $0 offer, but the available context does not specify a billing period or plan details."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/ai-spreadsheet-agent",
"summary": {
"niche": "ai-spreadsheet-agent",
"sector": "finance-ops",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: Agents · Pro median $45/mo (4 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 4,
"reliability": "low",
"median": 44.5,
"p25": null,
"p75": null,
"status": "median_only"
},
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "individual",
"buyer_tier_label": "Individual",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 3,
"reliability": "low",
"median": 9.99,
"p25": null,
"p75": null,
"status": "median_only"
},
{
"provider_type": "agent",
"provider_type_label": "Agents",
"buyer_tier": "team_sme",
"buyer_tier_label": "Team / SME",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
320,
349
]
}
],
"warnings": [
"This niche currently has sufficient agent pricing but insufficient MCP pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "ai-spreadsheet-agent"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/ai-spreadsheet-agent",
"counts": {
"listings_with_price_capture": 19,
"listings_with_observed_public_price": 11,
"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": "ok",
"pricing_by_tier": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 11,
"provider_count": 4,
"plan_observation_count": 4,
"data_confidence": 0.31,
"data_confidence_basis": {
"provider_component": 0.33,
"observation_component": 0.2,
"provider_count": 4,
"plan_observation_count": 4
},
"reliability": "low",
"members": [
{
"provider": "pelayar_spreadsheet_agent",
"usd": 8
},
{
"provider": "excelmaster",
"usd": 9.99
},
{
"provider": "sheetai",
"usd": 12
},
{
"provider": "the",
"usd": 99
}
]
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 54.99,
"provider_count": 5,
"plan_observation_count": 8,
"data_confidence": 0.41,
"data_confidence_basis": {
"provider_component": 0.42,
"observation_component": 0.4,
"provider_count": 5,
"plan_observation_count": 8
},
"reliability": "medium",
"members": [
{
"provider": "sheetai",
"usd": 26.59
},
{
"provider": "pelayar_spreadsheet_agent",
"usd": 34
},
{
"provider": "excelmaster",
"usd": 54.99
},
{
"provider": "shortcut_ai",
"usd": 100
},
{
"provider": "the",
"usd": 999
}
],
"p25": 34,
"p75": 100
},
{
"tier": "team_sme",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 349,
"provider_count": 3,
"plan_observation_count": 4,
"data_confidence": 0.24,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.2,
"provider_count": 3,
"plan_observation_count": 4
},
"reliability": "low",
"members": [
{
"provider": "shortcut_ai",
"usd": 320
},
{
"provider": "pelayar_spreadsheet_agent",
"usd": 349
},
{
"provider": "the",
"usd": 399
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 19,
"listings_with_observed_public_price": 11,
"normalized_observations": 19,
"comparable_providers": 6,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 6,
"ambiguous_cadence": 3
}
},
"pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
"pricing_excluded_observations": {
"one_time": 6,
"ambiguous_cadence": 3
},
"billing_mix": {
"subscription": 2,
"free": 4,
"contact_sales": 1,
"freemium": 4
},
"free_tier_share": 0.73,
"top_providers": [
{
"agent_id": "ai_spreadsheet_analysis_agent_",
"name": "AI Spreadsheet Analysis 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). V7 Labs does not publish standard plan prices and scopes annual agreements through a custom quote."
},
"observed": true
},
{
"agent_id": "ajelix",
"name": "Ajelix",
"price": {
"commercial": {
"entry_offer": {
"line": "Plan 1",
"monthly_native": 39,
"monthly_usd": 39,
"commitment": "monthly",
"basis": "$39 per user/month × 1",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Plan 1",
"price": "$39 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
},
{
"name": "Plan 2",
"price": "$99 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
},
{
"name": "Plan 3",
"price": "$199 user/month – billed monthly",
"kind": "base_subscription",
"unit": "user",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "From $39/mo ($39 per user/month × 1)",
"summary": "From $39/mo ($39 per user/month × 1). Ajelix publicly lists three subscription prices billed monthly at $39, $99, and $199 per user."
},
"observed": true
},
{
"agent_id": "excel",
"name": "Excel",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for the Excel server page."
},
"observed": false
},
{
"agent_id": "the",
"name": "The",
"price": {
"commercial": {
"entry_offer": {
"line": "Solo",
"monthly_native": 99,
"monthly_usd": 99,
"commitment": "annual",
"basis": "$99/month, billed annually (annual commitment)"
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Solo",
"price": "$99 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Growth",
"price": "$399 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Treasury",
"price": "$999 per month, billed annually",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 99,
"monthly_usd": 99,
"headline": "Free plan; paid from $99/mo (annual commitment)",
"summary": "Free plan; paid from $99/mo (annual commitment). Tokenbooks offers a free tier, paid plans shown at $99, $399, and $999 per month billed annually, plus a custom Enterprise plan."
},
"observed": true
},
{
"agent_id": "bilig",
"name": "Bilig",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or paid plan amounts were observed on the homepage."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "ai-spreadsheet-agent"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "ai-spreadsheet-agent",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "ai_spreadsheet_analysis_agent_"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "ai_spreadsheet_analysis_agent_"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
10 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
AjelixTransforms uploaded data into completed deliverables such as Excel files, dashboards, presentations, apps, formulas, and VBA scripts via an agentic AI chat wor…
TheOne double-entry ledger for crypto and fiat: wallet sync, cost basis, journal entries, reports.
ExcelMCP server and CLI that automates Microsoft Excel—Power Query, DAX, VBA, PivotTables—via natural language from AI agents like Claude and GitHub Copilot. Runs l…
ExcelmasterAI agent for Excel that writes VBA code, generates formulas, runs Python scripts, and cleans data autonomously. Reads actual workbook structure and executes ta…KSKimi SheetsAI Excel agent that builds professional spreadsheets with formulas, pivot tables, and charts from natural language instructions. Handles data analysis, financi…
agentFreefree to use—100% live
Pelayar Spreadsheet AgentAI agent that extracts data from PDFs, invoices, images, and documents to create structured Excel spreadsheets. Performs data analysis, generates charts, creat…
Relevance Excel AgentsAI agents for Microsoft Excel that automate data cleaning, financial modeling, predictive analytics, and natural language queries. Transforms spreadsheet analy…
Shortcut AiAI agent for Excel automation that builds financial models, generates formulas, and completes spreadsheet tasks. Designed for analysts and finance professional…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.