Prediction Markets
Query this niche via MCP
niche_report({ niche: "prediction-markets" })Agents · median
MCP servers · median
$29/mo
All plans — Agents vs MCPs
each dot = one provider · log scaleMCP servers $29
Prediction Markets · $2
Marketmaster Prediction Market · $10
Nephyr Risk · $10
Nephyr Backtest · $10
Polymarket Mcp · $10
Nephyr Weather · $10
Criswu20010728 Mantis · $29
quant · $15
Marketmaster Prediction Market · $21
parlay · $29
Rekko Mcp · $49
polystrike · $79
Prediction Markets · $99
Criswu20010728 Mantis · $199
quant · $417
Prediction Markets · $999
$5
$10
$25
$50
$100
$250
$500
$1,000
AgentsMCP serversshaded = middle half · line = median
All plans
16 pricedProvidervs its cohort medianMonthly
Prediction Marketsmcp
$2 below
Marketmaster Prediction Marketmcp
$10 below
Nephyr Riskmcp
$10 below
Nephyr Backtestmcp
$10 below
Polymarket Mcpmcp
$10 below
Nephyr Weathermcp
$10 below
quantmcp
$15 below
Marketmaster Prediction Marketmcp
$21 below
Criswu20010728 Mantismcp
$29 ~median
parlaymcp
$29 ~median
Rekko Mcpmcp
$49 above
polystrikemcp
$79 above
Prediction Marketsmcp
$99 above
Criswu20010728 Mantismcp
$199 above
quantmcp
$417 above
Prediction Marketsmcp
$999 above
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": "prediction-markets",
"parent_sector": "financial-services",
"provider_type_pricing": {
"slug": "prediction-markets",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 12.5,
"p25": 10,
"p75": 29,
"providers": 14
},
"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": 10,
"p25": 10,
"p75": 29,
"providers": 13,
"publishable": true,
"confidence": "normal"
}
},
"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": [
"quantitative-analysis-agent",
"ai-banking-chatbot",
"equity-research-agent",
"wealth-management-copilot",
"credit-scoring-agent",
"options-strategy-agent"
],
"market_pulse": {
"pulse": 50,
"drivers": [
"enterprise money present",
"3 new builders in 30d"
],
"price_move_30d_pct": 0,
"money_share": 0.35,
"entry_rate": 0.08108108108108109,
"alive_share": 0.96875
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": -5.1,
"comparable_agents": 13,
"quarantined_agents": 0,
"confidence": "high",
"published": {
"d": false,
"w": false,
"m": true
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": "parlay's \"Pro\" $49→$29 (-41%)"
},
"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": -5.1,
"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
],
"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,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89,
94.89
],
"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
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282,
102.282
]
},
"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": -7.2,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 7,
"pro": 9,
"team_sme": 0,
"enterprise": 2
},
"obs_range": {
"d": null,
"w": null,
"m": {
"min": 10,
"max": 10,
"days": 1
}
},
"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": {
"min": 7,
"max": 7,
"days": 1
},
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 32,
"observed": 20,
"byPersona": {
"free": {
"n": 17,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0.35
},
"individual": {
"n": 36,
"nPriced": 31,
"reliability": "high",
"median": 0.05,
"p25": 0.02,
"p75": 1.08,
"min": 0.01,
"max": 29,
"mean": 2.71,
"stdev": 6.11,
"usageShare": 0.81
},
"pro": {
"n": 14,
"nPriced": 13,
"reliability": "high",
"median": 29.99,
"p25": 12.99,
"p75": 79,
"min": 1.42,
"max": 399,
"mean": 74.68,
"stdev": 111.55,
"usageShare": 0.07
},
"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": 7,
"nPriced": 2,
"reliability": "low",
"median": 707.79,
"p25": 562.18,
"p75": 853.4,
"min": 416.58,
"max": 999,
"mean": 707.79,
"stdev": 411.83,
"usageShare": 0
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0.35,
"mixedBilling": true,
"monthlyComparable": false
},
"individual": {
"nMonthly": 3,
"p25": 6.04,
"median": 9.99,
"p75": 19.49,
"confidence": "low",
"usageShare": 0.81,
"mixedBilling": true,
"monthlyComparable": true
},
"pro": {
"nMonthly": 12,
"p25": 14.49,
"median": 39.49,
"p75": 84,
"confidence": "high",
"usageShare": 0.07,
"mixedBilling": true,
"monthlyComparable": true
},
"team_sme": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 2,
"p25": 562.18,
"median": 707.79,
"p75": 853.4,
"confidence": "low",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": true
}
},
"byTierCohorts": {
"status": "ok",
"cohorts": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 10,
"provider_count": 7,
"plan_observation_count": 7,
"data_confidence": 0.54,
"data_confidence_basis": {
"provider_component": 0.58,
"observation_component": 0.35,
"provider_count": 7,
"plan_observation_count": 7
},
"reliability": "medium",
"members": [
{
"provider": "prediction_markets",
"usd": 2.08
},
{
"provider": "marketmaster_prediction_market",
"usd": 9.99
},
{
"provider": "nephyr_risk",
"usd": 10
},
{
"provider": "nephyr_backtest",
"usd": 10
},
{
"provider": "polymarket_mcp",
"usd": 10
},
{
"provider": "nephyr_weather",
"usd": 10
},
{
"provider": "criswu20010728_mantis",
"usd": 29
}
],
"p25": 10,
"p75": 10
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 39,
"provider_count": 8,
"plan_observation_count": 12,
"data_confidence": 0.65,
"data_confidence_basis": {
"provider_component": 0.67,
"observation_component": 0.6,
"provider_count": 8,
"plan_observation_count": 12
},
"reliability": "medium",
"members": [
{
"provider": "quant",
"usd": 14.99
},
{
"provider": "marketmaster_prediction_market",
"usd": 21.49
},
{
"provider": "octagon_ai",
"usd": 29
},
{
"provider": "parlay",
"usd": 29
},
{
"provider": "rekko_mcp",
"usd": 49
},
{
"provider": "polystrike",
"usd": 79
},
{
"provider": "prediction_markets",
"usd": 99
},
{
"provider": "criswu20010728_mantis",
"usd": 199
}
],
"p25": 27.12,
"p75": 84
},
{
"tier": "enterprise",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 707.79,
"provider_count": 2,
"plan_observation_count": 2,
"data_confidence": 0.15,
"data_confidence_basis": {
"provider_component": 0.17,
"observation_component": 0.1,
"provider_count": 2,
"plan_observation_count": 2
},
"reliability": "low",
"members": [
{
"provider": "quant",
"usd": 416.58
},
{
"provider": "prediction_markets",
"usd": 999
}
]
}
],
"rejected": {
"one_time": 2,
"free_or_zero": 4,
"usage_not_monthly": 25,
"ambiguous_cadence": 5
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 21,
"offers": [
{
"provider": "criswu20010728_mantis",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$29/mo",
"monthly_usd": 29
},
{
"provider": "criswu20010728_mantis",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$199/mo",
"monthly_usd": 199
},
{
"provider": "marketmaster_prediction_market",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$12.99/mo",
"monthly_usd": 12.99
},
{
"provider": "marketmaster_prediction_market",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$9.99/mo",
"monthly_usd": 9.99
},
{
"provider": "marketmaster_prediction_market",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$29.99/mo",
"monthly_usd": 29.99
},
{
"provider": "nephyr_backtest",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "nephyr_risk",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "nephyr_weather",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "octagon_ai",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$17 per month, billed annually",
"monthly_usd": 17
},
{
"provider": "octagon_ai",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$41 per month, billed annually",
"monthly_usd": 41
},
{
"provider": "parlay",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$29/mo",
"monthly_usd": 29
},
{
"provider": "polymarket_mcp",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "polystrike",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$79/mo",
"monthly_usd": 79
},
{
"provider": "prediction_markets",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$49/mo",
"monthly_usd": 49
},
{
"provider": "prediction_markets",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$99/mo",
"monthly_usd": 99
},
{
"provider": "prediction_markets",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$399/mo",
"monthly_usd": 399
},
{
"provider": "prediction_markets",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$999/mo",
"monthly_usd": 999
},
{
"provider": "prediction_markets",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "from $25k/yr",
"monthly_usd": 2.08
},
{
"provider": "quant",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$14.99/mo",
"monthly_usd": 14.99
},
{
"provider": "quant",
"tier": "enterprise",
"billing": "monthly",
"unit": "flat",
"price": "$4999 billed annually",
"monthly_usd": 416.58
},
{
"provider": "rekko_mcp",
"tier": "pro",
"billing": "monthly",
"unit": "flat",
"price": "$49/mo",
"monthly_usd": 49
}
]
},
{
"billing": "one_time",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "licium",
"tier": "pro",
"billing": "one_time",
"unit": "flat",
"price": "$50 to $500",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "one_time",
"unit": "flat",
"price": "$5",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 16,
"offers": [
{
"provider": "nephyr_backtest",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10 / 1K RPCs",
"monthly_usd": null
},
{
"provider": "nephyr_risk",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10 / 1K",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.15 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.01 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.01 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.1 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.01 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.08 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.01 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05 USDC",
"monthly_usd": null
},
{
"provider": "nexus_intelligence",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02 USDC",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "per_call",
"count": 9,
"offers": [
{
"provider": "polystrike",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.01/call",
"monthly_usd": null
},
{
"provider": "rekko_mcp",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.01/call",
"monthly_usd": null
},
{
"provider": "rekko_mcp",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.10/call",
"monthly_usd": null
},
{
"provider": "rekko_mcp",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$2.00/call",
"monthly_usd": null
},
{
"provider": "rekko_mcp",
"tier": "pro",
"billing": "usage",
"unit": "per_call",
"price": "$5.00/call",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.02 per call",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.02 per call",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.02 per call",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "$0.10 per call",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 5,
"offers": [
{
"provider": "nephyr_backtest",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "nephyr_risk",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "nephyr_weather",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "octagon_ai",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "polymarket_mcp",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 15,
"normalized_observations": 21,
"comparable_providers": 12,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 2,
"free_or_zero": 4,
"usage_not_monthly": 25,
"ambiguous_cadence": 5
}
}
}
},
"billingMix": {
"one-time": 1,
"freemium": 12,
"free": 4,
"subscription": 1,
"usage": 2
},
"freeTierShare": 0.8,
"medianLowestUsd": 12.5
},
"movement": {
"niche": "prediction-markets",
"sector": "financial-services",
"pricedNow": 14,
"pairs": 13,
"repriced": [],
"newlyPriced": [
"marketmaster_prediction_market"
],
"droppedFromPriced": [],
"likeForLikePct": 0,
"kind": "composition",
"narrative": "Composition change (average moved, but no agent changed its price): 1 newly published pricing."
},
"index_series": {
"series": [
{
"day": "2026-08-01",
"index": 100,
"pairs": 5,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 7,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 9,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 94.89,
"pairs": 10,
"dayChangePct": -5.11
},
{
"day": "2026-08-06",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 94.89,
"pairs": 10,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 94.89,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 94.89,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-18",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-19",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-20",
"index": 94.89,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-08-21",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-08-22",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-08-23",
"index": 94.89,
"pairs": 13,
"dayChangePct": 0
},
{
"day": "2026-08-24",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-25",
"index": 94.89,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-08-26",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-27",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-28",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-29",
"index": 94.89,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-08-30",
"index": 94.89,
"pairs": 18,
"dayChangePct": 0
}
],
"latest": 94.89,
"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": "musashi",
"name": "musashi",
"url": "https://musashi.bot/",
"short_summary": "provides AI intelligence service for automated prediction market trading by analyzing tweets and generating trading signals",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Musashi is currently available for free with no account required, while paid features may be introduced in the future."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "nexus_intelligence",
"name": "Nexus Intelligence",
"url": "https://nexus-agent-xa12.onrender.com/",
"short_summary": "Provides live prediction market data and signals (Kalshi + Polymarket odds, cross-venue arbitrage spreads, oracle signals, sentiment, consensus) for assets lik…",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "NEXUS AI Agent publishes per-endpoint usage rates ranging from $0.001 to $0.15 USDC, alongside explicitly free endpoints."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "parlay",
"name": "Parlay",
"url": "https://parlay.run",
"short_summary": "aggregates and compares prediction markets across multiple venues",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free tier, then from $29/mo",
"summary": "Free tier, then from $29/mo. Parlay offers a permanent free tier with 15 monthly calls and a Pro plan currently listed at $29/month with 150 calls and all six tools."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "rekko_mcp",
"name": "Rekko AI",
"url": "https://rekko.ai",
"short_summary": "Provides prediction market intelligence including trading signals, arbitrage detection, market analysis, and portfolio tracking across multiple prediction mark…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 49,
"monthly_usd": 49,
"headline": "Free tier, then from $49/mo",
"summary": "Free tier, then from $49/mo. Rekko offers free access, usage-based API calls from $0.01 to $5.00 per call, and a $49/mo Pro plan with volume discounts."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "bet_checker",
"name": "Bet Checker",
"url": "https://negativeev.com",
"short_summary": "Grade any MLB or WNBA bet against thousands of play-by-play game simulations — true win probability, implied probability, and edge for every leg.\n\nPrices come…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free tier + paid plans (price not published)",
"summary": "NegativeEV offers 10 free bet checks per day, while signing in provides unlimited checks subject to a per-hour pace cap; no paid price is publicly listed."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "criswu20010728_mantis",
"name": "mantis",
"url": "https://mantiss.store",
"short_summary": "compares prediction market odds across multiple venues and provides cross-venue arbitrage opportunities",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free tier, then from $29/mo",
"summary": "Free tier, then from $29/mo. Mantis offers a free tier with 100 daily API requests, plus monthly Starter and Pro subscriptions at $29 and $199."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "dino_markets",
"name": "Dino Markets",
"url": "https://dino.markets/",
"short_summary": "Real-time cross-venue sports prediction-market data — matches the same games across Kalshi and Polymarket, computes live arbitrage with confidence bands, and s…",
"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": "foresea",
"name": "Foresea",
"url": "https://foresea.ink",
"short_summary": "turns prediction markets into tradeable signals by generating calibrated probability forecasts with supporting evidence and rationale",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "The homepage contains structured data indicating a $0 offer, but no clear billing period or detailed public plan information is shown."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "marketmaster_prediction_market",
"name": "Marketmaster Prediction Market",
"url": "https://marketmaster.live/developers",
"short_summary": "Read-only prediction-market data for Kalshi and Polymarket: modelled fair-value EV edges, cross-venue arbitrage spreads, market snapshots, and large whale trad…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 9.99,
"monthly_usd": 9.99,
"headline": "Free tier, then from $9.99/mo",
"summary": "Free tier, then from $9.99/mo. MarketMaster offers free product and API tiers, with paid subscriptions ranging from $9.99/mo to $29.99/mo for API access and a $12.99/mo Pro product plan."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "oaia",
"name": "Oaia",
"url": "https://oaia.fun",
"short_summary": "Give any AI trading agent a public, un-cherry-pickable track record. Commit a call before it resolves, get a hash receipt,\nget scored against 2,048 coin-flippi…",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "The service offers free access for one question per day with no wallet or stakes required."
},
"evidence_quality": "medium",
"upvotes": 0
}
],
"platforms_also_here": [],
"page_url": "https://agentery.com/market/prediction-markets",
"summary": {
"niche": "prediction-markets",
"sector": "financial-services",
"pricing_by_provider_type": {
"headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Individual median $10/mo (7 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "individual",
"buyer_tier_label": "Individual",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 7,
"reliability": "medium",
"median": 10,
"p25": 10,
"p75": 10,
"status": "ok"
},
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "pro",
"buyer_tier_label": "Pro",
"pricing_unit": "flat",
"pricing_unit_label": "flat monthly",
"comparable_provider_count": 7,
"reliability": "medium",
"median": 49,
"p25": 25.24,
"p75": 89,
"status": "ok"
},
{
"provider_type": "mcp",
"provider_type_label": "MCP servers",
"buyer_tier": "enterprise",
"buyer_tier_label": "Enterprise",
"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": [
416.58,
999
]
}
],
"warnings": [
"This niche currently has sufficient MCP pricing but insufficient agent pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "prediction-markets"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/prediction-markets",
"counts": {
"listings_with_price_capture": 32,
"listings_with_observed_public_price": 20,
"providers_with_numeric_monthly_price_latest_scan": 14,
"like_for_like_comparable_pairs": 13
},
"movement": {
"d": {
"published": false,
"value_pct": null,
"held_reason": null
},
"w": {
"published": false,
"value_pct": null,
"held_reason": null
},
"m": {
"published": true,
"value_pct": -5.1,
"driver": "parlay's \"Pro\" $49→$29 (-41%)"
}
},
"pricing_version": "cohorts-1",
"pricing_status": "ok",
"pricing_by_tier": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 10,
"provider_count": 7,
"plan_observation_count": 7,
"data_confidence": 0.54,
"data_confidence_basis": {
"provider_component": 0.58,
"observation_component": 0.35,
"provider_count": 7,
"plan_observation_count": 7
},
"reliability": "medium",
"members": [
{
"provider": "prediction_markets",
"usd": 2.08
},
{
"provider": "marketmaster_prediction_market",
"usd": 9.99
},
{
"provider": "nephyr_risk",
"usd": 10
},
{
"provider": "nephyr_backtest",
"usd": 10
},
{
"provider": "polymarket_mcp",
"usd": 10
},
{
"provider": "nephyr_weather",
"usd": 10
},
{
"provider": "criswu20010728_mantis",
"usd": 29
}
],
"p25": 10,
"p75": 10
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 39,
"provider_count": 8,
"plan_observation_count": 12,
"data_confidence": 0.65,
"data_confidence_basis": {
"provider_component": 0.67,
"observation_component": 0.6,
"provider_count": 8,
"plan_observation_count": 12
},
"reliability": "medium",
"members": [
{
"provider": "quant",
"usd": 14.99
},
{
"provider": "marketmaster_prediction_market",
"usd": 21.49
},
{
"provider": "octagon_ai",
"usd": 29
},
{
"provider": "parlay",
"usd": 29
},
{
"provider": "rekko_mcp",
"usd": 49
},
{
"provider": "polystrike",
"usd": 79
},
{
"provider": "prediction_markets",
"usd": 99
},
{
"provider": "criswu20010728_mantis",
"usd": 199
}
],
"p25": 27.12,
"p75": 84
},
{
"tier": "enterprise",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 707.79,
"provider_count": 2,
"plan_observation_count": 2,
"data_confidence": 0.15,
"data_confidence_basis": {
"provider_component": 0.17,
"observation_component": 0.1,
"provider_count": 2,
"plan_observation_count": 2
},
"reliability": "low",
"members": [
{
"provider": "quant",
"usd": 416.58
},
{
"provider": "prediction_markets",
"usd": 999
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 32,
"listings_with_observed_public_price": 20,
"normalized_observations": 21,
"comparable_providers": 12,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 2,
"free_or_zero": 4,
"usage_not_monthly": 25,
"ambiguous_cadence": 5
}
},
"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": 2,
"free_or_zero": 4,
"usage_not_monthly": 25,
"ambiguous_cadence": 5
},
"billing_mix": {
"one-time": 1,
"freemium": 12,
"free": 4,
"subscription": 1,
"usage": 2
},
"free_tier_share": 0.8,
"top_providers": [
{
"agent_id": "musashi",
"name": "musashi",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Musashi is currently available for free with no account required, while paid features may be introduced in the future."
},
"observed": true
},
{
"agent_id": "nexus_intelligence",
"name": "Nexus Intelligence",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "NEXUS AI Agent publishes per-endpoint usage rates ranging from $0.001 to $0.15 USDC, alongside explicitly free endpoints."
},
"observed": true
},
{
"agent_id": "parlay",
"name": "Parlay",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free tier, then from $29/mo",
"summary": "Free tier, then from $29/mo. Parlay offers a permanent free tier with 15 monthly calls and a Pro plan currently listed at $29/month with 150 calls and all six tools."
},
"observed": true
},
{
"agent_id": "rekko_mcp",
"name": "Rekko AI",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 49,
"monthly_usd": 49,
"headline": "Free tier, then from $49/mo",
"summary": "Free tier, then from $49/mo. Rekko offers free access, usage-based API calls from $0.01 to $5.00 per call, and a $49/mo Pro plan with volume discounts."
},
"observed": true
},
{
"agent_id": "bet_checker",
"name": "Bet Checker",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free tier + paid plans (price not published)",
"summary": "NegativeEV offers 10 free bet checks per day, while signing in provides unlimited checks subject to a per-hour pace cap; no paid price is publicly listed."
},
"observed": true
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "prediction-markets"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "prediction-markets",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "musashi"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "musashi"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
18 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
musashiprovides AI intelligence service for automated prediction market trading by analyzing tweets and generating trading signals
Parlayaggregates and compares prediction markets across multiple venues
Rekko AIProvides prediction market intelligence including trading signals, arbitrage detection, market analysis, and portfolio tracking across multiple prediction mark…
Bet CheckerGrade any MLB or WNBA bet against thousands of play-by-play game simulations — true win probability, implied probability, and edge for every leg.
Prices come…
mantiscompares prediction market odds across multiple venues and provides cross-venue arbitrage opportunities
Foreseaturns prediction markets into tradeable signals by generating calibrated probability forecasts with supporting evidence and rationale
Marketmaster Prediction MarketRead-only prediction-market data for Kalshi and Polymarket: modelled fair-value EV edges, cross-venue arbitrage spreads, market snapshots, and large whale trad…
OaiaGive any AI trading agent a public, un-cherry-pickable track record. Commit a call before it resolves, get a hash receipt,
get scored against 2,048 coin-flippi…PPolystrikeLive Elon Musk & Ted Cruz tweet feed, real-time tweet counters, and market data for Polymarket's tweet-count markets.
An independent counter polls X every ~60…
mcp$79from / mo102.6% above100% live
Prediction MarketsPolymarket, Manifold, Metaculus compared: one fair probability per question. No API key needed.
QuantInstitutional-grade quant toolkit for prediction-market trading on Kalshi and Polymarket. Ten tools covering expected value, Kelly position sizing, Bayesian up…
TicktapeTickTape is an independent pre-flight for Polymarket: OK / CAUTION / VETO on live orders, COPY / WATCH / VETO on wallets — always with reasons and numbers, nev…Nnephyr-backtestStrategy backtesting with real on-chain Polymarket data. Backtest weather-based prediction market strategies, simulate copy-trading top wallets, and query avai…
mcp$10from / mo74.4% below100% liveNnephyr-riskAI-powered prediction market risk management. Calculate optimal position sizes with Kelly criterion, evaluate expected value, estimate platform fees, monitor r…
mcp$10from / mo74.4% below100% liveNnephyr-weatherGFS ensemble weather signals for prediction market edge detection. Generate weather-based trading signals across 12 major cities, retrieve multi-day forecasts,…
mcp$10from / mo74.4% below100% livePpolymarket-mcpMCP server that exposes Polymarket prediction market data to AI agents. Tools wrap Polymarket's public Gamma (market discovery) and Data (positions, portfolio,…
mcp$10from / mo74.4% below100% live
Octagon AiAI-powered prediction market research platform that models probabilities vs. live prices across 1000+ Kalshi contracts. Provides research reports, trading sign…
Polymarket Ai Agent TradingFramework for building autonomous AI trading agents on Polymarket prediction markets. Uses LLMs, RAG, and superforecasting methodologies. Built with Python, La…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.