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📊 Intel view 📋 Audit JSON 🔄 Changelog
33
A2A v1.0.2

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.

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1 thing in this card we could not use
Everything else was indexed. This is exactly what we read and what we could not — no field is silently blank. Fix the card at 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
Trust score
33/100
grade F · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~194 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

F
Conformance score: 33/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
partial Valid AgentCard 9/10
AgentCard did not read cleanly: 1 field we could not read. Scored on what we could read, not on a card that arrived as published — the card findings name every affected field and what we did with it.
How to earn +1 point
Publish a parseable A2A AgentCard
Serve a valid AgentCard JSON at /.well-known/agent-card.json. The A2A 1.0 schema is the reference; we accept the v0.x backwards-compatible variant too.
Docs →
fail Live JSON-RPC 5/25
Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response.
How to earn +20 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.
Docs →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
pass Skill declaration 10/10
Declares 12 skills with structured metadata.
partial Verified Identity 5/10
Provider declared: OpenOdds.Ai (https://openodds.ai). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing 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 to agent-card.json
Agent card snapshots
Captured Hash Snapshot
2026-10-16 15:14:45 current 576ce249b94d… view →
Uptime
accumulating
1 direct probes · 30d
Response
182ms
last direct probe
Skills
12
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://openodds.ai/.well-known/agent-card.json
Providerhttps://openodds.ai
Discovered via
8004scan

Skills · 12 declared · mapped to canonical taxonomy

Odds Snapshot Query

Query latest bookmaker 1X2 odds snapshots for upcoming matches.

orphan: no canonical match yet
oddssnapshotmarket-data
Prediction Lookup and Verify

Lookup prediction records and verify commit-reveal integrity.

orphan: no canonical match yet
predictionverificationonchain
Settlement Readiness Diagnosis

Diagnose whether predictions are ready for settlement based on score availability and status.

canonical Error Diagnosis and Debugging match 86%
settlementoperationsdiagnostics
Unsettled Queue Monitoring

Monitor unsettled prediction queue and identify reveal bottlenecks.

canonical Performance Monitoring match 87%
queuemonitoringoperations
League Coverage Reporting

Report active league coverage and data freshness across competitions.

orphan: no canonical match yet
leaguecoveragereporting
xG Head-to-Head Comparison

Compare xG profiles of two teams for process-quality analysis.

orphan: no canonical match yet
xgcomparisonteam-analysis
xG Form Trend Analysis

Analyze short-term xG form trend for a selected team.

orphan: no canonical match yet
xgtrendform
xG League Ranking Analysis

Generate league-wide xG ranking tables for strength context.

orphan: no canonical match yet
xgrankingleague
Multi-League Prediction Screening

Screen upcoming fixtures across leagues with model signal context.

orphan: no canonical match yet
screeningmulti-leaguesignals
Onchain Commit-Reveal Audit

Audit commitment timing, hash integrity, and reveal status on-chain.

canonical On-chain Settlement match 87%
auditcommit-revealintegrity
Market Signal Consistency Check

Check consistency between model baseline and market pricing signals.

canonical Market Signals and Strategy match 87%
marketsignalconsistency
Settlement Reveal Gap Monitoring

Identify gaps between settled results and reveal publication status.

orphan: no canonical match yet
settlementrevealmonitoring

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-10-16 15:14:45 200 ✗ 182ms

Cheaper or better alternatives per-skill

↑ 4 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Agenstry grade Uptime
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/openodds.ai.svg)](https://agenstry.com/agents/openodds.ai)
[![Verified Business](https://agenstry.com/badge/openodds.ai/identity.svg)](https://agenstry.com/agents/openodds.ai)
[![Uptime](https://agenstry.com/badge/openodds.ai/uptime.svg)](https://agenstry.com/agents/openodds.ai)
[![A2A version](https://agenstry.com/badge/openodds.ai/protocol.svg)](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.

audit.json audit.json (JWS-signed) verification history
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."
}