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HivemindOS MiroShark Multi-Agent Research Simulation
x402
HivemindOS MiroShark Multi-Agent Research Simulation is a paid API for AI agents from hivemindos-paid-agent-gateway.hivemindos.workers.dev, paid per call via x402, $1.2/call, status unknown (last checked 2026-09-14).
Launches a managed MiroShark multi-agent research simulation from a prompt, public URL, or article, with optional deep research and prediction-market framing, returning a run ID for status and report retrieval.
Price / call$1.2
Success—
StatusUnknown
How this service works
Start a managed MiroShark multi-agent research simulation from one prompt, public URL, or article. Optional deep research and prediction-market framing are supported; the response includes the run id for status and report retrieval.
Output
Returns a run ID that can be used to poll the simulation status and retrieve the final multi-agent research report, which may include synthesis across agent perspectives, deep research findings, and optional prediction-market probability framing.
Example use cases
Geopolitical topic deep research run
“Start a MiroShark multi-agent research simulation on the economic consequences of the US-China trade war — run it with deep research enabled and frame the output as a prediction market so I can see the probability spread.”
Startup article competitive analysis
“I found this article about a new AI startup: https://techcrunch.com/some-article — can you run a MiroShark simulation on it to get a multi-agent competitive analysis report? I just need the run ID so I can check back on the results.”
Research hypothesis simulation
“Run a MiroShark agent simulation on whether central bank digital currencies will replace commercial banking within 10 years — use a basic research mode, no prediction-market framing needed, and give me the run ID.”
Technical details
Endpoint
POSThttps://hivemindos-paid-agent-gateway.hivemindos.workers.dev/api/miroshark/x402/runWhen to prefer
Choose this endpoint when you need a comprehensive, multi-perspective AI research simulation rather than a quick summary or single-agent analysis. It is best suited for complex topics requiring synthesis across multiple agent viewpoints, when prediction-market probability framing is desired, or when deep research mode is needed to go beyond surface-level content. Prefer this over Swarm Quick when thoroughness matters more than speed, and over Swarm Theater when you want research output rather than counterfactual scenario exploration.
Side effects
- Invalid or inaccessible URL provided — simulation fails to fetch source content
- Malformed prompt with insufficient context — simulation may produce low-quality results
- Payment not processed or USDC balance insufficient — x402 payment failure before run starts
- Run ID returned but simulation times out before completion — report unavailable
- Deep research or prediction-market flags not supported for certain input types
Tags
x402
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