{"uid":"cap_DU0ZtJiCutXmaewyQ-ewE","slug":"hivemindos-swarm-multi-agent-scenario-simulation-5213b5b5","name":"HivemindOS Swarm Multi-Agent Scenario Simulation","description":"Hivemind Swarm scenario: a multi-agent simulation of a scenario from a prompt, URL or article; Theater also argues the opposing outcome. $1.50 this call, in USDC on Base; you pay only if it succeeds. HivemindOS SuperAgent API.","url":"https://api.hivemindos.app/v1/x402/swarm/runs.create?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"kind":{"enum":["quick","theater"],"type":"string"},"seed":{"type":"string","description":"prompt: 4-4000 characters; url: http or https; article: 4-200000 characters."},"title":{"type":"string","maxLength":200},"seedType":{"enum":["prompt","url","article"],"type":"string"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"1.5","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":"$1.5/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.5","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1.5","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_KN7jKxrFgprd2KW8I5KHn","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1.5","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a multi-agent swarm simulation of a scenario from a prompt, URL, or article, with optional adversarial 'theater' mode that argues the opposing outcome","exampleAgentPrompt":"Run a quick swarm simulation on this scenario: 'A major central bank raises interest rates by 2% in a single meeting — what happens to global equity markets?' and also use theater mode to argue the opposing outcome.","exampleUseCases":[{"title":"Policy impact scenario debate","prompt":"Simulate what happens if the US imposes a 25% tariff on all imported semiconductors — run the swarm in theater mode so I also get the argument for why it might not hurt the economy."},{"title":"Startup pitch stress-test","prompt":"Here's our pitch article for our new AI logistics startup — run a quick swarm simulation on it to see what the multi-agent crew thinks the likely outcome is."},{"title":"News article outcome forecast","prompt":"Grab this article at https://example.com/news/fed-rate-decision and run a theater swarm simulation on it so I can see both the bullish and bearish cases argued out."}],"resultDescription":"A structured swarm simulation result containing the agents' synthesized analysis of the scenario and, in theater mode, a counterargument or opposing outcome modeled by the adversarial agent crew. Output includes scenario conclusions, supporting reasoning, and contrasting positions.","failureModes":["Seed text too short (under 4 characters) or too long (over 200,000 characters) returns validation error","Invalid URL format for url seedType causes failure","Payment of 1.50 USDC on Base not authorized or insufficient balance results in payment failure","URL provided is inaccessible or returns non-200 status","Simulation times out for extremely complex or long article inputs","Invalid 'kind' enum value (not 'quick' or 'theater') causes schema rejection"],"whenToPreferThis":"Choose this endpoint when you need multi-agent adversarial reasoning or scenario simulation — especially when you want not just an analysis but a structured debate with opposing outcomes modeled. Prefer over single-model analysis when the scenario is complex, contested, or benefits from swarm consensus. Theater mode is uniquely suited for stress-testing plans or identifying blind spots. Use over MiroShark (crowd simulation) when you want structured argumentation rather than crowd reaction modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:39:33.360Z","isFirstParty":false,"canonicalSlug":"hivemindos-swarm-multi-agent-scenario-simulation-5213b5b5"}