OpenOdds.Ai
openodds.ai
· OpenOdds.Ai
Verifiable pre-match football odds prediction agent for major European leagues, combining five-model consensus, xG context, and on-chain commit-reveal records.
openodds.ai via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
https://openodds.ai/.well-known/agent-card.json and the next probe clears this panel.
| Field | What we saw | What we stored |
|---|---|---|
capabilities |
Input should be a valid dictionary or instance of Capabilities | dropped — this field was not indexed |
Dispute or improve this rating
F
Conformance score: 33/100
F-grade: card is reachable but fails most operational signals.
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Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-16 15:14:45 current | 576ce249b94d… |
view → |
Endpoints
| Agent card | https://openodds.ai/.well-known/agent-card.json |
| Provider | https://openodds.ai |
Skills · 12 declared · mapped to canonical taxonomy
Query latest bookmaker 1X2 odds snapshots for upcoming matches.
Lookup prediction records and verify commit-reveal integrity.
Diagnose whether predictions are ready for settlement based on score availability and status.
Monitor unsettled prediction queue and identify reveal bottlenecks.
Report active league coverage and data freshness across competitions.
Compare xG profiles of two teams for process-quality analysis.
Analyze short-term xG form trend for a selected team.
Generate league-wide xG ranking tables for strength context.
Screen upcoming fixtures across leagues with model signal context.
Audit commitment timing, hash integrity, and reveal status on-chain.
Check consistency between model baseline and market pricing signals.
Identify gaps between settled results and reveal publication status.
Health · last 1 probes
Cheaper or better alternatives per-skill
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Markdown / HTML snippets
[](https://agenstry.com/agents/openodds.ai) [](https://agenstry.com/agents/openodds.ai) [](https://agenstry.com/agents/openodds.ai) [](https://agenstry.com/agents/openodds.ai)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"type": "https://eips.ethereum.org/EIPS/eip-8004#registration-v1",
"name": "OpenOdds.Ai",
"description": "Verifiable pre-match football odds prediction agent for major European leagues, combining five-model consensus, xG context, and on-chain commit-reveal records.",
"version": "1.0.2",
"protocol": "ERC-8004",
"url": "https://openodds.ai/.well-known/agent-card.json",
"provider": {
"organization": "OpenOdds.Ai",
"url": "https://openodds.ai"
},
"defaultInputModes": [
"text"
],
"defaultOutputModes": [
"text"
],
"image": "https://gateway.pinata.cloud/ipfs/QmTrkWsdMGZfEwGBUmXoPgzP6yq2w4vZzqaVswmmSCPkk6",
"externalLink": "https://openodds.ai",
"agent_type": "prediction",
"license": "MIT",
"active": true,
"x402Support": false,
"updatedAt": 1780805118,
"tags": [
"prediction",
"football",
"sports",
"odds-analysis",
"mcp"
],
"categories": [
"prediction",
"sports",
"analytics"
],
"capabilities": [
"match_prediction",
"odds_snapshot_query",
"prediction_history_lookup",
"prediction_integrity_verification",
"settlement_readiness_diagnosis",
"unsettled_queue_monitoring",
"xg_comparison_analysis",
"xg_trend_analysis",
"xg_league_ranking_analysis"
],
"skills": [
{
"id": "odds_snapshot_query",
"name": "Odds Snapshot Query",
"description": "Query latest bookmaker 1X2 odds snapshots for upcoming matches.",
"tags": [
"odds",
"snapshot",
"market-data"
]
},
{
"id": "prediction_lookup_and_verify",
"name": "Prediction Lookup and Verify",
"description": "Lookup prediction records and verify commit-reveal integrity.",
"tags": [
"prediction",
"verification",
"onchain"
]
},
{
"id": "settlement_readiness_diagnosis",
"name": "Settlement Readiness Diagnosis",
"description": "Diagnose whether predictions are ready for settlement based on score availability and status.",
"tags": [
"settlement",
"operations",
"diagnostics"
]
},
{
"id": "unsettled_queue_monitoring",
"name": "Unsettled Queue Monitoring",
"description": "Monitor unsettled prediction queue and identify reveal bottlenecks.",
"tags": [
"queue",
"monitoring",
"operations"
]
},
{
"id": "league_coverage_reporting",
"name": "League Coverage Reporting",
"description": "Report active league coverage and data freshness across competitions.",
"tags": [
"league",
"coverage",
"reporting"
]
},
{
"id": "xg_head_to_head_comparison",
"name": "xG Head-to-Head Comparison",
"description": "Compare xG profiles of two teams for process-quality analysis.",
"tags": [
"xg",
"comparison",
"team-analysis"
]
},
{
"id": "xg_form_trend_analysis",
"name": "xG Form Trend Analysis",
"description": "Analyze short-term xG form trend for a selected team.",
"tags": [
"xg",
"trend",
"form"
]
},
{
"id": "xg_league_ranking_analysis",
"name": "xG League Ranking Analysis",
"description": "Generate league-wide xG ranking tables for strength context.",
"tags": [
"xg",
"ranking",
"league"
]
},
{
"id": "multi_league_prediction_screening",
"name": "Multi-League Prediction Screening",
"description": "Screen upcoming fixtures across leagues with model signal context.",
"tags": [
"screening",
"multi-league",
"signals"
]
},
{
"id": "onchain_commit_reveal_audit",
"name": "Onchain Commit-Reveal Audit",
"description": "Audit commitment timing, hash integrity, and reveal status on-chain.",
"tags": [
"audit",
"commit-reveal",
"integrity"
]
},
{
"id": "market_signal_consistency_check",
"name": "Market Signal Consistency Check",
"description": "Check consistency between model baseline and market pricing signals.",
"tags": [
"market",
"signal",
"consistency"
]
},
{
"id": "settlement_reveal_gap_monitoring",
"name": "Settlement Reveal Gap Monitoring",
"description": "Identify gaps between settled results and reveal publication status.",
"tags": [
"settlement",
"reveal",
"monitoring"
]
}
],
"supported_leagues": [
"EPL",
"LaLiga",
"SerieA",
"Bundesliga",
"Ligue1",
"FIFA"
],
"supportedNetworks": [
"eip155:1",
"eip155:56",
"eip155:8453"
],
"registrations": [
{
"agentId": 22771,
"agentRegistry": "eip155:1:0x8004A169FB4a3325136EB29fA0ceB6D2e539a432"
},
{
"agentId": 49637,
"agentRegistry": "eip155:56:0x8004A169FB4a3325136EB29fA0ceB6D2e539a432"
}
],
"supportedTrust": [
"tee-attestation",
"reputation",
"crypto-economic"
],
"services": [
{
"name": "A2A",
"type": "agent-to-agent",
"endpoint": "https://openodds.ai/.well-known/a2a-agent-card.json",
"version": "1.0.0",
"status": "operational"
},
{
"name": "Web",
"type": "web-interface",
"endpoint": "https://openodds.ai",
"version": "1.0.0",
"status": "operational"
},
{
"name": "API",
"type": "rest-api",
"endpoint": "https://api.openodds.ai",
"version": "1.0.0",
"healthCheck": "https://api.openodds.ai/health",
"status": "operational"
},
{
"name": "MCP",
"type": "mcp",
"endpoint": "https://api.openodds.ai/mcp",
"version": "2025-11-25",
"description": "Read-only tools for odds, prediction audit, settlement readiness, and xG analytics.",
"toolsEndpoint": "https://api.openodds.ai/mcp/tools",
"promptsEndpoint": "https://api.openodds.ai/mcp/prompts",
"resourcesEndpoint": "https://api.openodds.ai/mcp/resources",
"healthCheck": "https://api.openodds.ai/mcp/health",
"tools": [
"get_health",
"get_metrics",
"get_upcoming_matches",
"get_match_odds",
"list_supported_leagues",
"get_prediction_by_id",
"get_unsettled_predictions",
"get_ready_to_settle_matches",
"get_prediction_summary",
"verify_prediction",
"list_recent_predictions",
"get_xg_comparison",
"get_xg_team_trend",
"get_xg_league_ranking"
],
"prompts": [
"match_pre_analysis",
"prediction_audit",
"xg_diagnosis"
],
"resources": [
"resource://openodds/health/latest",
"resource://openodds/metrics/latest",
"resource://openodds/leagues/latest"
],
"status": "operational"
}
],
"models": {
"market_level": "Historical odds regression analysis",
"instant_level": "Real-time state-space estimation (Kalman filter)",
"inferred_level": "Outcome-implied level inference",
"intrinsic_level": "Probabilistic goal modeling (Dixon-Coles)",
"elo_level": "Dynamic rating with uncertainty tracking (Glicko-2)"
},
"verification": {
"method": "Canonical serialization, cryptographic hashing, IPFS pinning, and Base commit-reveal",
"chain": "Base Mainnet (EIP-155:8453)",
"commitment_contract": "0x3002Fd6411B7f89ABcC2319126b95C4a2eAA03d5",
"verification_guide": "https://openodds.ai/docs/verification",
"public_registry": "https://www.8004scan.io/agents/ethereum/22771"
},
"erc8004": {
"identity_registry": "0x8004A169FB4a3325136EB29fA0ceB6D2e539a432",
"reputation_registry": "0x8004BAa17C55a88189AE136b182e5fdA19dE9b63",
"primary_agent_id": 22771,
"secondary_agent_id": 49637
},
"contact": {
"website": "https://openodds.ai",
"support": "support@openodds.ai",
"documentation": "https://openodds.ai/docs",
"security": "https://openodds.ai/security",
"feedback": "https://www.8004scan.io/agents/ethereum/22771?tab=feedback"
},
"documentation": "https://openodds.ai/docs",
"termsOfService": "https://openodds.ai/terms",
"privacyPolicy": "https://openodds.ai/privacy",
"securityPolicy": "https://openodds.ai/security",
"limitations": [
"Predictions are based on historical data only",
"No guarantee of accuracy",
"Past performance does not indicate future results",
"Not financial or betting advice"
],
"disclaimer": "This agent provides model-based football odds analysis for research and reference. Use at your own risk."
}