# Bounty Engineer Autonomous Mission Control

> Bounty Engineer Autonomous Mission Control is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $79.9/call, status unknown (last checked 2026-10-12).

Plans and validates multi-agent task execution packages by routing tasks to agents, computing fragility hotspots, spend exposure, and success probability within budget and risk constraints.

## Facts

- Endpoint: POST https://bounty-engineer-x402-prod.onrender.com/v1/autonomous-mission-control?utm_source=zero.xyz
- Price: $79.9/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/bounty-engineer-autonomous-mission-control-a14f16c8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5YqCnaBHHMUDz_Ky0DD46

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 bounty-engineer-autonomous-mission-control-a14f16c8 -d '<json body>'
```

Example prompt: I have 2 agents — agent-A for web research at $5 with 98% success rate and agent-B for publishing at $20 with 95% success rate — can you plan their execution order, check fragility hotspots, and tell me if we're ready to go with a $30 budget, max $700 exposure, and at least 90% mission success probability?

## When to prefer this

Use this endpoint when you need to plan and validate a complex multi-agent task execution before committing any funds or contacting agents. It is ideal for pre-flight risk assessment — computing mission success probability, identifying fragility hotspots, enforcing budget caps and failure cost limits, and producing a cryptographically-signed execution package that downstream systems can verify. Choose this over simpler routing tools when your workflow has task dependencies, multiple agents with varying reliability and pricing, and hard risk constraints that must be checked before execution begins.

## Known failure modes

- No eligible agents for a required task capability — returns blockers array with unmet requirements
- Budget cap exceeded by projected spend — returns decision other than ready_to_execute
- min_success_probability threshold not met — mission flagged as not ready
- max_expected_failure_cost_usd exceeded — stop condition triggered
- Missing or invalid required fields (tasks or agents array empty) — request rejected
- max_critical_nodes constraint violated — plan blocked

## How this service works

Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.

## Output

Returns a structured execution package including: a decision ('ready_to_execute' or blocked), ordered task assignments with selected agent details, fragility hotspot analysis with failure probabilities and expected costs, projected total spend, gross blast radius, a SHA256 package hash for integrity verification, a machine contract with execute/stop conditions, and overall mission success probability.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "tasks": {
   "type": "array",
   "maxItems": 60,
   "minItems": 1
  },
  "agents": {
   "type": "array",
   "maxItems": 100,
   "minItems": 1
  },
  "budget_usd": {
   "type": "number"
  },
  "target_ids": {
   "type": "array",
   "items": {
    "type": "string"
   },
   "maxItems": 20
  },
  "max_exposure_usd": {
   "type": "number"
  },
  "max_critical_nodes": {
   "type": "integer"
  },
  "min_success_probability": {
   "type": "number",
   "maximum": 1,
   "minimum": 0
  },
  "max_expected_failure_cost_usd": {
   "type": "number"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "mode": "autonomous_mission_control",
  "blockers": [],
  "decision": "ready_to_execute",
  "assignments": [
   {
    "task_id": "research",
    "fallback": null,
    "requires": [
     "web"
    ],
    "selected": {
     "agent_id": "a",
     "price_usd": 5,
     "success_rate": 0.98,
     "p95_latency_ms": 2000
    },
    "dependencies": [],
    "eligible_count": 1
   },
   {
    "task_id": "publish",
    "fallback": null,
    "requires": [
     "publish"
    ],
    "selected": {
     "agent_id": "b",
     "price_usd": 20,
     "success_rate": 0.95,
     "p95_latency_ms": 3000
    },
    "dependencies": [
     "research"
    ],
    "eligible_count": 1
   }
  ],
  "limitations": [
   "This combines declared agent capabilities, prices, success rates and a caller-supplied dependency graph into a deterministic execution package.",
   "It does not spend funds, contact agents, guarantee outcomes or verify candidate claims."
  ],
  "affected_nodes": [
   {
    "id": "publish",
    "criticality": 0.9,
    "dependencies": [
     "research"
    ],
    "exposure_usd": 700
   }
  ],
  "package_sha256": "0548ec4edd3900b5b51c8b53be2387100852bbf470c3e38028dd71dfb121819a",
  "execution_order": [
   "research",
   "publish"
  ],
  "machine_contract": {
   "stop_if": [
    "selected_agent_terms_drift",
    "task_graph_changes",
    "budget_cap_exceeded",
    "failure_cost_limit_exceeded"
   ],
   "execute_only_if": [
    "package_sha256_matches",
    "budget_unchanged",
    "selected_agent_terms_unchanged"
   ]
  },
  "fragility_hotspots": [
   {
    "id": "publish",
    "required": true,
    "latency_ms": 3000,
    "dependencies": [
     "research"
    ],
    "success_rate": 0.95,
    "declared_cost_usd": 20,
    "reach_probability": 0.98,
    "expected_spend_usd": 19.6,
    "failure_probability": 0.049,
    "declared_failure_cost_usd": 30,
    "expected_failure_cost_usd": 1.47
   },
   {
    "id": "research",
    "required": true,
    "latency_ms": 2000,
    "dependencies": [],
    "success_rate": 0.98,
    "declared_cost_usd": 5,
    "reach_probability": 1,
    "expected_spend_usd": 5,
    "failure_probability": 0.02,
    "declared_failure_cost_usd": 5,
    "expected_failure_cost_usd": 0.1
   }
  ],
  "projected_spend_usd": 25,
  "gross_blast_radius_usd": 700,
  "expected_failure_cost_usd": 1.57,
  "mission_success_probability": 0.931
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/bounty-engineer-autonomous-mission-control-a14f16c8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from bounty-engineer-x402-prod.onrender.com](https://www.zero.xyz/host/bounty-engineer-x402-prod.onrender.com/llms.txt)