HivemindOS MiroShark Crowd Simulation

x402

HivemindOS MiroShark Crowd Simulation is a paid API for AI agents from api.hivemindos.app, paid per call via x402, $1.2/call, status unknown (last checked 2026-10-11).

Simulates how a crowd of people would react to a given prompt, URL, or article, with optional deep research or a prediction market.

Price / call$1.2

Seller volume →—

Success—

StatusUnknown

How this service works

MiroShark simulation: a crowd simulation of how people react to a prompt, URL or article, with optional deep research or a prediction market. $1.20 this call, in USDC on Base; you pay only if it succeeds. HivemindOS SuperAgent API.

Output

Returns a crowd simulation result showing how a diverse population of simulated people would respond to the given prompt, URL, or article. May include aggregated sentiment, individual simulated reactions, deep research findings, and/or prediction market probabilities depending on the options enabled.

Example use cases

Gauge public reaction to a campaign

“Simulate how a crowd of people would react to our new ad campaign message: 'Switch to solar and cut your electricity bill by 80%.' I want to know if people will believe it or push back.”

Prediction market on a policy question

“Run a MiroShark crowd simulation with a prediction market on this question: 'Will the EU ban TikTok by end of 2025?' — set outcome_a as Yes, outcome_b as No, and start the probability at 30%.”

Deep research on a controversial article

“Can you simulate how people would react to this article URL https://example.com/controversial-story and also do deep research on the topic so I get a thorough analysis alongside the crowd reaction?”

Technical details

Endpoint

POSThttps://api.hivemindos.app/v1/x402/miroshark/runs.create?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to simulate crowd or public opinion on content — a URL, article, or prompt — especially when you want more than simple sentiment analysis and need simulated diverse reactions, optional deep research, or a prediction market framing. Prefer this over generic sentiment APIs when you need crowd-wisdom simulation rather than statistical sentiment scoring.

Side effects

Malformed or inaccessible URL causes fetch failure
Prompt or article text below minimum length of 4 characters
Article text exceeds 190,000 character limit
Prediction market parameter not properly structured
Payment of $1.20 USDC on Base fails or is rejected
Simulation fails mid-run and no charge is applied

Input

Schema · Request body

Field	Type	Description
url	string
prompt	string
article	string
deep_research	boolean
prediction_market	—	A question, or { question, outcome_a, outcome_b, initial_probability }.

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