{"uid":"cap_uJItDm7EJTrSCBjHc7bnp","slug":"hivemindos-swarm-theater-counterfactual-multi-agent-scenario-simulation-d66d8c96","name":"HivemindOS Swarm Theater – Counterfactual Multi-Agent Scenario Simulation","description":"Buy a deep counterfactual multi-agent scenario simulation in one x402 call. Swarm Theater explores both the primary thesis and an opposing outcome, then returns an asynchronous run with a public result link when complete.","url":"https://hivemindos-paid-agent-gateway.hivemindos.workers.dev/api/x402/swarm-theater/runs","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"5","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$5/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"5","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"5","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_na-33KewMZvXaEY12hmSb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"5","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a deep counterfactual multi-agent simulation exploring both a primary thesis and an opposing outcome, returning an async run ID and public result link.","exampleAgentPrompt":"Run a Swarm Theater deep counterfactual simulation on this thesis: 'Generative AI will commoditize software engineering by 2027' — explore that primary outcome and the opposing case where software engineers remain indispensable.","exampleUseCases":[{"title":"Strategic bet stress-testing for investors","prompt":"Use Swarm Theater to simulate whether my thesis that 'electric vehicles will dominate 80% of new car sales by 2030' holds up — and also explore the opposing scenario where adoption stalls due to infrastructure gaps."},{"title":"Policy outcome scenario planning","prompt":"Run a deep counterfactual simulation on the scenario: 'Universal Basic Income reduces workforce participation' — explore both that outcome and the counter-case where UBI actually boosts entrepreneurship and labor flexibility."},{"title":"Product launch risk analysis","prompt":"I want Swarm Theater to analyze my thesis that launching our SaaS tool to SMBs first is the right go-to-market move, and also simulate the opposing outcome where enterprise-first would have been the better strategy."}],"resultDescription":"An asynchronous run object containing a run ID and a public URL where the completed simulation results can be accessed. The simulation report covers analysis of the primary thesis and a structured counterfactual opposing outcome, generated by a swarm of multiple AI agents reasoning collaboratively.","failureModes":["Invalid or missing prompt results in a 400 error","Payment failure or insufficient USDC balance blocks execution","Async run may time out for extremely complex prompts","Public result URL may not be immediately available — polling required","Malformed URL input if a link is supplied may cause ingestion failure"],"whenToPreferThis":"Choose Swarm Theater when you need a deep, structured exploration of both a primary thesis and its direct opposing outcome — especially for high-stakes strategic, research, or investment decisions. Prefer this over Swarm Quick when depth and counterfactual rigor matter more than speed, and when a $5 cost per call is acceptable for the thoroughness of the dual-perspective multi-agent analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:40:46.678Z","isFirstParty":false}