Dino Markets
Real-time cross-venue sports prediction-market data — matches the same games across Kalshi and Polymarket, computes live arbitrage with confidence bands, and s…
What it does
The specific capability behind this listing, and where to get it.
Real-time cross-venue sports prediction-market data — matches the same games across Kalshi and Polymarket, computes live arbitrage with confidence bands, and streams over WebSocket. Native MCP server on every plan, including Free.
Official Dino Markets links
Pricing & plans
Observed public pricing for Dino Markets, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$30 /mo
This plan is priced at a premium.
$30 sits above the observed Individual flat range ($10–$10) — around the 100th percentile of observed prices. It's a premium position — it needs differentiation to hold.
Why Agentery reaches that view
price_benchmark200% above the Individual flat median.
get_agent_profile · plan historyBasic observed 2026-08-10.
pricing recommendation~100th percentile of comparable Individual flat plans.
confidencemedium; source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Dino Markets good value?
How its price compares with genuinely comparable providers.
Premium-priced for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 200% above the observed median.
Compared with Prediction Markets
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Comparable Prediction Markets
Alternatives in the same niche, with observed price and liveness where available.





See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "dino_markets",
"name": "Dino Markets",
"url": "https://dino.markets/",
"logo": "https://agentery.com/logos/CP-VJ72CF.svg",
"niche": "prediction-markets",
"category": "financial-services",
"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…",
"task_performed": "Real-time cross-venue sports prediction-market data — matches the same games across Kalshi and Polymarket, computes live arbitrage with confidence bands, and streams over WebSocket. Native MCP server on every plan, including Free.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://dino.markets/",
"checked_at": "2026-08-16T05:42:19.007Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://dino.markets/"
],
"last_checked": "2026-07-09",
"how_to_connect": {
"website": "https://dino.markets/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 117,
"uptime_7d": 1,
"checked_at": "2026-08-18T02:32:44.109Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}