Prediction Markets
Query this niche via MCP
market_report({ query: "Prediction Markets", response_mode: "summary" })Agents · median
$100/mo
MCP servers · median
$29/mo
3.4×
Agents cost 3.4× MCPs across all tiers — median $100 vs $29. Two different markets; a blended figure would mislead either buyer.
All plans — Agents vs MCPs
each dot = one provider · log scaleAgents $100
Octagon Ai · $29
cymetica · $100
MCP servers $29
Prediction Markets · $2
Marketmaster Prediction Market · $10
Criswu20010728 Mantis · $29
quant · $15
Marketmaster Prediction Market · $21
polystrike · $29
parlay · $29
anteproof · $39
Rekko Mcp · $49
Prediction Markets · $99
Criswu20010728 Mantis · $199
quant · $499
Prediction Markets · $999
$5
$10
$25
$50
$100
$250
$500
$1,000
AgentsMCP serversshaded = middle half · line = median
All plans
15 pricedProvidervs its cohort medianMonthly
Prediction Marketsmcp
$2 below
Marketmaster Prediction Marketmcp
$10 below
quantmcp
$15 below
Marketmaster Prediction Marketmcp
$21 below
Octagon Aiagent
$29 below
Criswu20010728 Mantismcp
$29 ~median
polystrikemcp
$29 ~median
parlaymcp
$29 ~median
anteproofmcp
$39 above
Rekko Mcpmcp
$49 above
Prediction Marketsmcp
$99 above
cymeticaagent
$100 ~median
Criswu20010728 Mantismcp
$199 above
quantmcp
$499 above
Prediction Marketsmcp
$999 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 Prediction Markets (latest observation 2026-10-16T03:43:44.171Z). 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
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"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
},
{
"provider": "octagon_ai",
"tier": "pro",
"billing": "usage",
"unit": "flat",
"price": "$50 per 500 credits",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.02",
"monthly_usd": null
},
{
"provider": "ticktape",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "per_call",
"count": 7,
"offers": [
{
"provider": "catalyst_desk",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "0.02 USDC per call",
"monthly_usd": null
},
{
"provider": "catalyst_desk",
"tier": "individual",
"billing": "usage",
"unit": "per_call",
"price": "0.10 USDC per call",
"monthly_usd": null
},
{
"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
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 1,
"offers": [
{
"provider": "octagon_ai",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 15,
"normalized_observations": 21,
"comparable_providers": 10,
"strict_cohorts": 3,
"exclusion_reasons": {
"usage_not_monthly": 27,
"one_time": 3,
"unrankable_or_unparseable": 2,
"ambiguous_cadence": 1
}
}
}
},
"quoteOnlyProvidersByTier": {
"pro": 0,
"individual": 0,
"team_sme": 0,
"enterprise": 1
},
"billingMix": {
"freemium": 10,
"usage": 5,
"free": 7,
"subscription": 1
},
"freeTierShare": 0.74,
"medianLowestUsd": 24.5
},
"movement": {
"niche": "prediction-markets",
"sector": "financial-services",
"pricedNow": 10,
"pairs": 9,
"repriced": [],
"newlyPriced": [
"cymetica"
],
"droppedFromPriced": [],
"likeForLikePct": 0,
"kind": "composition",
"narrative": "Composition change (average moved, but no agent changed its price): 1 newly published pricing."
},
"index_series": {
"series": [
{
"day": "2026-09-17",
"index": 94.89,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-09-18",
"index": 94.89,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-09-19",
"index": 94.89,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 94.89,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 94.89,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 94.89,
"pairs": 19,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 94.89,
"pairs": 19,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 94.89,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 94.89,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 94.89,
"pairs": 11,
"dayChangePct": 0
},
{
"day": "2026-10-15",
"index": 94.89,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-16",
"index": 94.89,
"pairs": 12,
"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": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Musashi",
"price": "$0",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. 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": {
"commercial": {
"rates": [
{
"line": "/aggregate",
"per": "per unit",
"text": "$0.15 per unit"
},
{
"line": "/arb/check",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/execute",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/oracle/signal",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/research",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/scrape",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "/search",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/sentiment",
"per": "per unit",
"text": "$0 per unit"
},
{
"line": "/stream/prices",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/summarize",
"per": "per unit",
"text": "$0 per unit"
},
{
"line": "/util/llms-audit",
"per": "per unit",
"text": "$0.08 per unit"
},
{
"line": "/v1/consensus",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/v1/signals/fast",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/v1/signals/micro",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/v1/tools/consensus",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/v1/tools/signals",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/wallet/intel",
"per": "per unit",
"text": "$0 per unit"
}
],
"currency": "USD",
"lines": [
{
"name": "/aggregate",
"price": "$0.15 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/arb/check",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/execute",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/oracle/signal",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/research",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/scrape",
"price": "$0.1 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/search",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/sentiment",
"price": "$0.002 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/stream/prices",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/summarize",
"price": "$0.002 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/util/llms-audit",
"price": "$0.08 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/consensus",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/signals/fast",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/signals/micro",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/tools/consensus",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/tools/signals",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/wallet/intel",
"price": "$0.001 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Free endpoints",
"price": "$0.0 USDC",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$0.15 per unit; $0.01 per unit (usage-based)",
"summary": "$0.15 per unit; $0.01 per unit (usage-based). 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": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 29,
"monthly_usd": 29,
"commitment": "monthly",
"basis": "$29/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0/mo",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$29/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free plan; paid from $29/mo",
"summary": "Free plan; paid 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": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 49,
"monthly_usd": 49,
"commitment": "monthly",
"basis": "$49/month",
"billing_verified": true
},
"rates": [
{
"line": "Listing Data",
"per": "per call",
"text": "$0.01 per call"
},
{
"line": "Insight Intelligence",
"per": "per call",
"text": "$0.1 per call"
},
{
"line": "Strategy Signals",
"per": "per call",
"text": "$2 per call"
},
{
"line": "Deep Advanced",
"per": "per call",
"text": "$5 per call"
}
],
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "free",
"kind": "free",
"billed": "monthly"
},
{
"name": "Listing Data",
"price": "$0.01/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Insight Intelligence",
"price": "$0.10/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Strategy Signals",
"price": "$2.00/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Deep Advanced",
"price": "$5.00/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Pro",
"price": "$49/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 49,
"monthly_usd": 49,
"headline": "Free plan; paid from $49/mo",
"summary": "Free plan; paid from $49/mo. Rekko offers a free entry option, usage-based API access priced from $0.01 per call to $5.00 per call, and a Pro subscription at $49 per month."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "anteproof",
"name": "Anteproof",
"url": "https://anteproof.com",
"short_summary": "Calibrated, publicly scored probability forecasts on software projects, packages and companies. Search entities, read open questions and latest forecasts, pull…",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 39,
"monthly_usd": 39,
"commitment": "monthly",
"basis": "$39/month",
"billing_verified": true
},
"annual_option": {
"line": "Pro (annual billing)",
"monthly_equivalent_native": 32.5,
"total_native": 390
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$39 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro (annual billing)",
"price": "$390 / year billed annually",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "Free plan; paid from $39/mo; $32.5/mo equivalent billed annually",
"summary": "Free plan; paid from $39/mo; $32.5/mo equivalent billed annually. Anteproof offers a free tier and a Pro plan at $39 per month or $390 per year."
},
"evidence_quality": "medium",
"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": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. 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": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 29,
"monthly_usd": 29,
"commitment": "monthly",
"basis": "$29/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$29/mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$199/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free plan; paid from $29/mo",
"summary": "Free plan; paid 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": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Unnamed offer",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. Homepage structured data lists a $0 USD offer, but no billing period or plan details are publicly specified."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "knoww",
"name": "Knoww",
"url": "https://knoww.app",
"short_summary": "Search Polymarket prediction markets, inspect market details and order books, track price history, and display interactive market cards. Knoww gives AI assista…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "Free",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. Knoww is presented as free to install, with no public paid-plan pricing shown."
},
"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 · Pro median $34/mo (8 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"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": 8,
"reliability": "medium",
"median": 34,
"p25": 27.12,
"p75": 61.5,
"status": "ok"
},
{
"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": 3,
"reliability": "low",
"median": 9.99,
"p25": null,
"p75": null,
"status": "median_only"
},
{
"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": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
29,
100
]
},
{
"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": [
499,
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": 41,
"listings_with_observed_public_price": 23,
"providers_with_numeric_monthly_price_latest_scan": 10,
"like_for_like_comparable_pairs": 9
},
"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": 9.99,
"provider_count": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "prediction_markets",
"usd": 2.08
},
{
"provider": "marketmaster_prediction_market",
"usd": 9.99
},
{
"provider": "criswu20010728_mantis",
"usd": 29
}
]
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 34,
"provider_count": 10,
"plan_observation_count": 16,
"data_confidence": 0.83,
"data_confidence_basis": {
"provider_component": 0.83,
"observation_component": 0.8,
"provider_count": 10,
"plan_observation_count": 16
},
"reliability": "medium",
"members": [
{
"provider": "quant",
"usd": 14.99
},
{
"provider": "marketmaster_prediction_market",
"usd": 21.49
},
{
"provider": "parlay",
"usd": 29
},
{
"provider": "polystrike",
"usd": 29
},
{
"provider": "octagon_ai",
"usd": 29
},
{
"provider": "anteproof",
"usd": 39
},
{
"provider": "rekko_mcp",
"usd": 49
},
{
"provider": "prediction_markets",
"usd": 99
},
{
"provider": "cymetica",
"usd": 100
},
{
"provider": "criswu20010728_mantis",
"usd": 199
}
],
"p25": 29,
"p75": 86.5
},
{
"tier": "enterprise",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 749,
"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": 499
},
{
"provider": "prediction_markets",
"usd": 999
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 41,
"listings_with_observed_public_price": 23,
"normalized_observations": 21,
"comparable_providers": 10,
"strict_cohorts": 3,
"exclusion_reasons": {
"usage_not_monthly": 27,
"one_time": 3,
"unrankable_or_unparseable": 2,
"ambiguous_cadence": 1
}
},
"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": {
"usage_not_monthly": 27,
"one_time": 3,
"unrankable_or_unparseable": 2,
"ambiguous_cadence": 1
},
"billing_mix": {
"freemium": 10,
"usage": 5,
"free": 7,
"subscription": 1
},
"free_tier_share": 0.74,
"top_providers": [
{
"agent_id": "musashi",
"name": "musashi",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Musashi",
"price": "$0",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. 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": {
"commercial": {
"rates": [
{
"line": "/aggregate",
"per": "per unit",
"text": "$0.15 per unit"
},
{
"line": "/arb/check",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/execute",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/oracle/signal",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/research",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/scrape",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "/search",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/sentiment",
"per": "per unit",
"text": "$0 per unit"
},
{
"line": "/stream/prices",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/summarize",
"per": "per unit",
"text": "$0 per unit"
},
{
"line": "/util/llms-audit",
"per": "per unit",
"text": "$0.08 per unit"
},
{
"line": "/v1/consensus",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/v1/signals/fast",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/v1/signals/micro",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "/v1/tools/consensus",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "/v1/tools/signals",
"per": "per unit",
"text": "$0.02 per unit"
},
{
"line": "/wallet/intel",
"per": "per unit",
"text": "$0 per unit"
}
],
"currency": "USD",
"lines": [
{
"name": "/aggregate",
"price": "$0.15 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/arb/check",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/execute",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/oracle/signal",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/research",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/scrape",
"price": "$0.1 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/search",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/sentiment",
"price": "$0.002 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/stream/prices",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/summarize",
"price": "$0.002 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/util/llms-audit",
"price": "$0.08 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/consensus",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/signals/fast",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/signals/micro",
"price": "$0.01 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/tools/consensus",
"price": "$0.05 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/v1/tools/signals",
"price": "$0.02 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "/wallet/intel",
"price": "$0.001 USDC",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Free endpoints",
"price": "$0.0 USDC",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "$0.15 per unit; $0.01 per unit (usage-based)",
"summary": "$0.15 per unit; $0.01 per unit (usage-based). 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": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 29,
"monthly_usd": 29,
"commitment": "monthly",
"basis": "$29/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0/mo",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$29/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free plan; paid from $29/mo",
"summary": "Free plan; paid 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": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 49,
"monthly_usd": 49,
"commitment": "monthly",
"basis": "$49/month",
"billing_verified": true
},
"rates": [
{
"line": "Listing Data",
"per": "per call",
"text": "$0.01 per call"
},
{
"line": "Insight Intelligence",
"per": "per call",
"text": "$0.1 per call"
},
{
"line": "Strategy Signals",
"per": "per call",
"text": "$2 per call"
},
{
"line": "Deep Advanced",
"per": "per call",
"text": "$5 per call"
}
],
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "free",
"kind": "free",
"billed": "monthly"
},
{
"name": "Listing Data",
"price": "$0.01/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Insight Intelligence",
"price": "$0.10/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Strategy Signals",
"price": "$2.00/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Deep Advanced",
"price": "$5.00/call",
"kind": "usage_rate",
"unit": "call",
"billed": "usage"
},
{
"name": "Pro",
"price": "$49/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 49,
"monthly_usd": 49,
"headline": "Free plan; paid from $49/mo",
"summary": "Free plan; paid from $49/mo. Rekko offers a free entry option, usage-based API access priced from $0.01 per call to $5.00 per call, and a Pro subscription at $49 per month."
},
"observed": true
},
{
"agent_id": "anteproof",
"name": "Anteproof",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 39,
"monthly_usd": 39,
"commitment": "monthly",
"basis": "$39/month",
"billing_verified": true
},
"annual_option": {
"line": "Pro (annual billing)",
"monthly_equivalent_native": 32.5,
"total_native": 390
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$39 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro (annual billing)",
"price": "$390 / year billed annually",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "Free plan; paid from $39/mo; $32.5/mo equivalent billed annually",
"summary": "Free plan; paid from $39/mo; $32.5/mo equivalent billed annually. Anteproof offers a free tier and a Pro plan at $39 per month or $390 per year."
},
"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…
AnteproofCalibrated, publicly scored probability forecasts on software projects, packages and companies. Search entities, read open questions and latest forecasts, pull…
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 rationaleKKnowwSearch Polymarket prediction markets, inspect market details and order books, track price history, and display interactive market cards. Knoww gives AI assista…
mcpFreefree to use—100% live
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$29from / mo14.7% below100% live
Prediction Market IntelligencePolymarket research inside your AI. Paste a polymarket.com link or ask in plain words.
- **Market rules and status**: the exact resolution rules with their na…
Prediction MarketsPolymarket, Manifold, Metaculus compared: one fair probability per question. No API key needed.
ProbleeWhere AIs and people put their calls on the record. Free play-money prediction markets: your agent reads live markets, prices and history without a key, and tr…
QuantInstitutional-grade quant toolkit for prediction-market trading on Kalshi and Polymarket. Ten tools covering expected value, Kelly position sizing, Bayesian up…
VotepredictorUS election forecasts with a public, auditable accuracy record.
Win probabilities and predicted margins for every 2026 Senate, House and Governor race — inclu…
CymeticaProvides an AI-native event-driven trading platform with prediction markets, swipe-deck index markets (Event Cards), and trading agents for financial markets
Octagon AiAI-powered prediction market research platform that models probabilities vs. live prices across 1000+ Kalshi contracts. Provides research reports, trading sign…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.