Bounty Engineer Agent Commerce API – Command Center

x402

Bounty Engineer Agent Commerce API – Command Center is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $149.9/call, status unknown (last checked 2026-10-11).

Provides autonomous agents with a unified control plane for API cost routing, seller conformance auditing, mission planning, margin optimization, spend controls, and GitHub bounty intelligence.

Price / call$149.9

Seller volume →—

Success—

StatusUnknown

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 JSON object with an overall readiness decision, a seller audit with ranked conformance scores, a mission control plan with task assignments and fallbacks, spend projections, success probability, duplicate settlement checks, and a list of any blockers or limitations.

Example use cases

Pre-flight seller conformance audit

“Before my agent pays anyone, audit these three seller definitions for conformance and rank them by score — flag any that should be blocked and tell me the audit hash.”

Multi-task mission cost planning

“I have a research task that needs a web-capable agent and a publish task that depends on it finishing first — assign the best agents by price and success rate, estimate total spend, and tell me the mission success probability.”

Duplicate settlement detection

“Here are 12 settlement records from my agent's last run — check for duplicate settlement IDs, flag any missing receipts, calculate the gross blast radius in USD, and tell me if we're clear to reconcile.”

Technical details

Endpoint

POSThttps://bounty-engineer-x402-prod.onrender.com/v1/agent-commerce-command-center?utm_source=zero.xyz

When to prefer

Choose this endpoint when an autonomous agent needs a single-call orchestration layer that simultaneously audits sellers, plans multi-step mission execution, enforces spend controls, and surfaces GitHub bounty opportunities — particularly useful before committing funds in an x402 payment flow where pre-flight verification reduces wasted spend.

Side effects

Invalid or missing seller metadata causes audit failure with blocked sellers
Circular task dependencies in the mission graph result in a blocked decision
Caller-supplied settlement data that cannot be parsed yields a validation error
Budget exceeded by projected spend triggers a blocker with gross blast radius detail
Malformed agent capability declarations lead to no eligible agents for a task

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "mode": "agent_commerce_command_center",
    "summary": {
      "seller_count": 1,
      "seller_blocked": 0,
      "seller_conformant": 1,
      "settled_amount_usd": 25,
      "settlement_entries": 1,
      "gross_blast_radius_usd": 700,
      "duplicate_settlement_ids": 0,
      "expected_failure_cost_usd": 1.57,
      "mission_success_probability": 0.931,
      "projected_mission_spend_usd": 25,
      "settlements_missing_receipt": 0
    },
    "blockers": [],
    "decision": "ready",
    "limitations": [
      "Deterministic control-plane analysis over caller-supplied seller, settlement and mission data.",
      "It does not transfer funds, sign transactions, contact sellers, guarantee revenue, or independently prove caller-supplied settlement receipts."
    ],
    "remediation": {
      "actions": [],
      "action_count": 0,
      "acceptance_checks": [
        "No blocked or review seller profiles.",
        "No duplicate or receiptless settled claims.",
        "Mission satisfies the supplied budget, success and exposure limits."
      ],
      "actions_truncated": false,
      "value_interpretation": "Amounts flagged are caller claims requiring investigation, not recovered money or proven savings.",
      "recheck_before_execution": true,
      "duplicate_claimed_amount_usd": 0
    },
    "input_sha256": "71b154a9620daa135577a8112339801a575fbae3463def56df15bf7f63d0d99c",
    "seller_audit": {
      "ok": true,
      "mode": "seller_conformance_audit",
      "ranked": [
        {
          "id": "seller-a",
          "score": 100,
          "origin": "https://seller.example",
          "pay_to": "0x1111111111111111111111111111111111111111",
          "network": "eip155:8453",
          "decision": "conformant",
          "endpoint": "https://seller.example/v1/tool",
          "findings": [],
          "price_usd": 0.05
        }
      ],
      "review": 0,
      "blocked": 0,
      "conformant": 1,
      "limitations": [
        "Deterministic audit of caller-supplied seller metadata only.",
        "It does not independently fetch a seller, move funds, or prove that a settlement occurred."
      ],
      "audit_sha256": "e041676d7e510ce3fa8a971f9abc491fa35166ae22a03bd683a109f179a29fbf",
      "seller_count": 1
    },
    "mission_control": {
      "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": "0f3c9c8f73c9bba8b38a29198598e794c1705f325eeaa98c119c7b9ddc02e972",
      "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
    },
    "delivery_version": 2,
    "settlement_audit": {
      "ok": true,
      "mode": "settlement_ledger_audit",
      "audit": {
        "entry_count": 1,
        "settled_amount_usd": 25,
        "settled_without_receipt": 0,
        "duplicate_settlement_ids": 0,
        "gross_claimed_settled_amount_usd": 25,
        "duplicate_claimed_settled_amount_usd": 0
      },
      "entries": [
        {
          "id": "e1",
          "status": "settled",
          "findings": [],
          "amount_usd": 25,
          "settlement_id": "s1",
          "receipt_present": true
        }
      ],
      "decision": "clean",
      "limitations": [
        "Audits caller-supplied ledger entries only.",
        "Receipt presence is structural evidence, not independent on-chain verification.",
        "Settled value counts the first settled claim per settlement ID once; conflicting duplicates require reconciliation."
      ],
      "ledger_sha256": "babb0264df767382e9e9ef8feeade058b880f421754be7cb812408ca2e9526ed"
    },
    "command_center_sha256": "a0ba81bc036de3a24a80effa86525ffcd4cbdab82e0b0276308db81824bdb1e8"
  }
}

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