# Boids Flocking Algorithm MCP

> Boids Flocking Algorithm MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).

Simulates boids flocking behavior using the classic Craig Reynolds algorithm, computing emergent group movement patterns from individual agent rules.

## Facts

- Endpoint: POST https://api.m2mcent.com/boids-flocking-algorithm-mcp/api/process
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/boids-flocking-algorithm-mcp-8be7ecf0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_vekIVQ70A5p1PtHouR_H-

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 boids-flocking-algorithm-mcp-8be7ecf0 -d '<json body>'
```

Example prompt: Run a boids flocking simulation with my configuration data — I want to see how the agents move and flock together using the separation, alignment, and cohesion rules.

## When to prefer this

Choose this endpoint when you need a hosted, pay-per-call boids flocking simulation without managing your own server infrastructure, particularly when building agent workflows that require emergent swarm behavior computation on demand.

## Known failure modes

- Invalid or malformed data string returns a parsing error
- Empty data field may result in a 400 bad request
- Malformed JSON in the data field may cause processing failure
- Overly large agent populations may cause timeout or truncated results
- Payment failure (402) if USDC balance is insufficient before call

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## Output

Returns computed flocking simulation results including updated agent positions, velocity vectors, and emergent movement data derived from applying the classic boids separation, alignment, and cohesion rules to the input agent configuration.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/boids-flocking-algorithm-mcp-8be7ecf0/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)