{"uid":"cap_m-mh1oXeb-RxAo65yBZYg","slug":"apex-runner-agent-conviction-score-signal-a9f47837","name":"APEX Runner: Agent Conviction Score Signal","description":"APEX Runner: Agent Conviction Score Signal","url":"https://apexrunner.ai/signals/agent-conviction-score","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"conviction_scores":{"BTC":{"conviction_label":"HIGH","conviction_score":78}},"highest_conviction_trade":"BTC_LONG"},"market_insight":"string — summary of strongest bet","conviction_scores":"object keyed by coin — direction, conviction_score (0-100), conviction_label (HIGH/MEDIUM/LOW), avg_position_pct, avg_leverage, signal, interpretation","highest_conviction_trade":"string — coin_direction pair with highest score"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.007","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.007/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.007","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.007","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_2_tMumYP6N10PKdI7yWqp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.007","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns real-time on-chain wallet conviction scores across crypto assets, aggregating position sizing and leverage data from analyzed wallets to surface the highest-conviction trades.","exampleAgentPrompt":"Pull the latest APEX Runner agent conviction score signal and tell me which assets have the highest conviction among on-chain wallets right now, including their direction, average leverage, and conviction label.","exampleUseCases":null,"resultDescription":"Returns a structured object containing conviction scores keyed by asset or trade, each with a direction (long/short), conviction score (integer), conviction label, average leverage, wallet count, average position percentage, and an interpretation string. Also includes a top-level market insight summary, the total number of wallets analyzed, the highest conviction trade, a timestamp, a signal hash for verification, and how many seconds the signal remains valid. Metadata includes source, version, instance, evolution runs, live trading status, and whether live capital is deployed.","failureModes":["No query parameters required but malformed request structure may return 400","Signal may be temporarily unavailable during evolution runs, returning 503","Stale or expired signal if valid_for_seconds has elapsed since last generation","Payment of 5.6 USDC via x402 required; missing or invalid payment returns 402","Rate limiting may occur for repeated rapid calls, returning 429"],"whenToPreferThis":"Choose this endpoint when you need aggregated on-chain wallet conviction data across multiple assets in a single call, with directional signals, leverage context, and a composite conviction score. Prefer this over raw on-chain data queries when you want pre-processed, ranked signals with interpretation labels and a validity window. Use it over the Apex Alpha Score when you specifically want wallet-count-weighted conviction rather than institutional alpha signals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:41:08.102Z","isFirstParty":false}