MapleAI Autonomous Agent Execution

x402

MapleAI Autonomous Agent Execution is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.0145/call, status unknown (last checked 2026-10-02).

Executes a multi-step autonomous agent that reasons and uses tools (calculator, URL fetch) to complete a natural language task, billed per call plus per reasoning step

Price / call$0.0145

Seller volume →—

Success—

StatusUnknown

How this service works

4 GPT models, 7 image models, and Jev structured decisions. Pay per request in USDC on Base with x402.

Output

Returns the final answer or output produced by the agent after completing its reasoning and tool-use steps, along with metadata about how many steps were taken and what tools were invoked during execution.

Example use cases

Automated competitive research task

“Run an agent that fetches the homepages of three competitor websites I give you, summarizes what each one sells, and computes which has the most product categories — use fetch_url and calculator tools, up to 15 steps, with the agents/oss-20b model.”

Multi-step math with live data

“Have an autonomous agent look up the current price of Bitcoin, then calculate what a $1,000 investment made 30 days ago would be worth today assuming linear growth — use both the calculator and fetch_url tools, cap it at 8 steps.”

Research question with reasoning chain

“I need an agent to figure out the population of Tokyo, the population of New York, compute the ratio between them, and tell me which city is larger by what percentage — use the agents/oss-20b engine with fetch_url and calculator allowed, up to 12 steps.”

Technical details

Endpoint

POSThttps://base.mapleai.shop/v1/agents/execute?utm_source=zero.xyz

When to prefer

Choose this endpoint when a task requires multiple sequential reasoning steps, tool calls (web fetching or calculation), and autonomous decision-making rather than a single-shot LLM completion. It is ideal when you cannot predict ahead of time exactly how many steps or which tools will be needed. Prefer a simple chat completion endpoint for tasks that require only one model call with no tool use.

Side effects

max_steps exceeded — agent hits the step ceiling without completing the task
tool failure — fetch_url returns an unreachable URL or the calculator receives malformed input
model unavailable — agents/oss-20b engine is temporarily offline or overloaded
task too ambiguous — agent cannot determine a concrete action plan from the natural language task
payment failure — x402 USDC payment is rejected or insufficient
timeout — long-running tasks exceed server time limits

Input

Schema · Request body

Field	Type	Description
task	string	Natural language task for the agent
model	string	Execution engine: cheap oss-20b or premium gpt-6-sol
tools	array	Allowed tools, defaults to the enabled set; code_exec runs sandboxed python/javascript/typescript, $0.002 per call, max 3 per task
stream	boolean	When true, send SSE events: open, step per completed step, done with the full payload
context	string	Additional data or constraints
max_steps	integer	Charged ceiling of reasoning/tool steps

Output

Schema · Response

{
  "type": "json",
  "example": {
    "model": "agents/oss-20b",
    "steps": [
      {
        "n": 1,
        "action": "tool",
        "thought": "Need the population",
        "tool_call": {
          "args": {
            "url": "https://example.com/france"
          },
          "name": "fetch_url"
        },
        "tool_result": "68 million"
      }
    ],
    "usage": {
      "charge": {
        "base_usd": 0.002,
        "step_usd": 0.0005,
        "charged_ceiling_usd": 0.005,
        "steps_charged_ceiling": 6
      },
      "cost_usd": 0,
      "input_tokens": 4100,
      "output_tokens": 260,
      "tools_invoked": 1,
      "steps_executed": 2
    },
    "object": "agent.execution",
    "output": {
      "result": "About 9.7 million",
      "sources": [
        {
          "url": "https://example.com/france"
        }
      ]
    },
    "status": "completed",
    "steps_executed": 2
  }
}

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