# HivemindOS MiroShark Multi-Agent Research Simulation

> 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.

## Facts

- Endpoint: POST https://hivemindos-paid-agent-gateway.hivemindos.workers.dev/api/miroshark/x402/run
- Price: $1.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/hivemindos-miroshark-multi-agent-research-simulation-42f4a09a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cZxShXAWX_4JsSjh8WrmY

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability hivemindos-miroshark-multi-agent-research-simulation-42f4a09a -d '<json body>'
```

Example prompt: Can you kick off a MiroShark deep-research simulation on the geopolitical impact of AI chip export controls? Use this article as the source: https://example.com/ai-chips-article — and frame the results as a prediction market.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/hivemindos-miroshark-multi-agent-research-simulation-42f4a09a/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from hivemindos-paid-agent-gateway.hivemindos.workers.dev](https://www.zero.xyz/host/hivemindos-paid-agent-gateway.hivemindos.workers.dev/llms.txt)