{
  "data": {
    "a": {
      "slug": "agentcore-code-interpreter",
      "name": "Amazon Bedrock AgentCore Code Interpreter",
      "vendor": "Amazon Web Services",
      "vendorUrl": "https://aws.amazon.com/bedrock/agentcore/",
      "kind": "http-api",
      "category": "code-sandboxes",
      "summary": "Amazon Bedrock AgentCore Code Interpreter is AWS's managed sandbox for running agent-written Python, JavaScript and TypeScript. Each session is a dedicated microVM, reached through the AWS API, the AgentCore SDKs or an MCP server.",
      "url": "https://www.anchorterminal.com/tools/agentcore-code-interpreter",
      "markdownUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json",
      "repo": "https://github.com/aws/bedrock-agentcore-sdk-python",
      "license": "Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
      "packages": [
        {
          "registry": "pypi",
          "name": "bedrock-agentcore"
        },
        {
          "registry": "npm",
          "name": "bedrock-agentcore"
        },
        {
          "registry": "pypi",
          "name": "boto3"
        },
        {
          "registry": "pypi",
          "name": "awslabs.amazon-bedrock-agentcore-mcp-server"
        }
      ],
      "auth": "api-key",
      "authNotes": "AWS Signature Version 4 with IAM access keys or a role, self-serve once an AWS account exists. A policy must allow `bedrock-agentcore:StartCodeInterpreterSession`, `bedrock-agentcore:InvokeCodeInterpreter` and `bedrock-agentcore:StopCodeInterpreterSession` on the interpreter's ARN. The managed interpreter `aws.codeinterpreter.v1` needs no resource of its own. A custom interpreter takes a network mode and an execution role, which bounds the AWS resources code in the sandbox can reach. No partner or sales approval.",
      "pricing": "usage",
      "pricingNotes": "$0.0895 a vCPU-hour and $0.00945 a GB-hour, billed per second on CPU used and peak memory, with a one-second minimum and 128 MB minimum memory. AWS says I/O wait and idle time are free when no background process is running. Network data transfer is extra at EC2 rates. No allowance specific to Code Interpreter. New AWS accounts get up to $200 in Free Tier credits, and AWS says most new customers sign up without a payment method, so an agent's owner can start without a contract (https://aws.amazon.com/bedrock/agentcore/pricing/, https://aws.amazon.com/free/free-tier-faqs/, checked 2026-10-08).",
      "priceSummary": "$0.0895 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on the Code Interpreter endpoints, in the API reference or on the pricing page. AgentCore Payments, a separate component, lets a customer's agents pay third parties over x402 and MPP and is not a way to pay AWS (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 776,
        "npmWeekly": 334717,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/code-interpreter-tool.html",
      "llmsTxt": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt",
      "capabilities": [
        "sandbox.code",
        "sandbox.fs"
      ],
      "tags": [
        "hosted",
        "usage-priced",
        "closed-source",
        "python",
        "typescript",
        "enterprise",
        "llms-txt",
        "mcp",
        "free-tier",
        "no-card",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 73.1,
        "grade": "BB",
        "agentReady": true,
        "rank": 89,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 3,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 65,
          "payments": 30,
          "reliability": 85,
          "schema": 81,
          "security": 87,
          "transparency": 70
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.",
        "bestFor": "A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.",
        "strengths": [
          "Each session runs in a dedicated microVM, which AWS says is terminated and has its memory sanitised when the session ends",
          "Billing is per second on CPU used and peak memory, at $0.0895 a vCPU-hour and $0.00945 a GB-hour, with I/O wait and idle time free",
          "IAM actions cover each of the nine operations, with separate ARNs for the system interpreter and custom ones",
          "Rate limits are published per API, 30 requests a second for `StartCodeInterpreterSession` and `InvokeCodeInterpreter`, and 1,000 concurrent sessions per account",
          "The managed interpreter `aws.codeinterpreter.v1` needs no resource set-up, and `code_session` in the Python SDK starts and stops a session in one block"
        ],
        "weaknesses": [
          "No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC",
          "Every session is capped at 2 vCPU, 8 GB of memory and 10 GB of disk, and the cap is not adjustable",
          "`InvokeCodeInterpreter` takes one flat `arguments` object for nine operations, so the reference does not say which fields each operation requires",
          "The Bedrock SLA that AWS says applies to AgentCore dates from 4 October 2023 and names only the Bedrock APIs for models",
          "The troubleshooting page is three bullet points, and execution console logs are not sent to CloudWatch"
        ],
        "agentNotes": [
          "Start a session with `StartCodeInterpreterSession`, then pass its id in the `x-amzn-code-interpreter-session-id` header on every `InvokeCodeInterpreter` call",
          "Set `sessionTimeoutSeconds` when starting. The default is 900 seconds and the maximum is eight hours, and the session ends itself at the timeout",
          "Stop sessions when done. Billing runs per second while code is busy, and a session left open counts against the 1,000 concurrent-session quota",
          "Use `startCommandExecution`, `getTask` and `stopTask` for work longer than the 15-minute synchronous request limit",
          "Retry `ThrottlingException` (429) and `InternalServerException` (500) with exponential backoff, and treat `ServiceQuotaExceededException`, returned as HTTP 402, as a quota to raise"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 73.1
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 65,
          "payments": 30,
          "reliability": 85,
          "schema": 81,
          "security": 87,
          "transparency": 51
        },
        "provenanceScore": 88
      },
      "connect": {
        "install": "pip install bedrock-agentcore   # or: npm i bedrock-agentcore",
        "http": "awscurl -X POST \\\n  \"https://bedrock-agentcore.us-west-2.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/tools/invoke\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"x-amzn-code-interpreter-session-id: $SESSION_ID\" \\\n  --service bedrock-agentcore --region us-west-2 \\\n  -d '{\"name\":\"executeCode\",\"arguments\":{\"language\":\"python\",\"code\":\"print(\\\"Hello, world!\\\")\"}}'",
        "config": {
          "mcpServers": {
            "bedrock-agentcore-mcp-server": {
              "args": [
                "awslabs.amazon-bedrock-agentcore-mcp-server@latest"
              ],
              "command": "uvx",
              "env": {
                "AGENTCORE_ENABLE_TOOLS": "code_interpreter",
                "FASTMCP_LOG_LEVEL": "ERROR"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/sandbox.code",
        "tool": "https://letme.dev/agentcore-code-interpreter"
      },
      "sameCompany": [
        "amazon-bedrock-customization",
        "amazon-textract",
        "aws-end-user-messaging",
        "amazon-sns",
        "amazon-s3"
      ],
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "CPU",
          "unit": "vcpu-hour",
          "usd": 0.0895,
          "note": "Billed per second on CPU used. Memory extra at $0.00945 a GB-hour on peak use"
        },
        {
          "item": "Session at the 2 vCPU, 8 GB cap, fully busy",
          "unit": "session-hour",
          "usd": 0.2546,
          "note": "Our sum of 2 x $0.0895 and 8 x $0.00945. I/O wait and idle time are not billed"
        }
      ],
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc.",
        "domain": "amazonaws.com",
        "domainRegistered": "2005-08-18",
        "endpointOnVendorDomain": true,
        "terms": "https://aws.amazon.com/service-terms/",
        "privacy": "https://aws.amazon.com/privacy/",
        "statusPage": "https://health.aws.amazon.com/health/status",
        "changelog": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html",
        "securityTxt": "expired",
        "checked": "2026-10-08",
        "notes": [
          "The endpoints are `bedrock-agentcore.\u003cregion\u003e.amazonaws.com`. RDAP gives 2005-08-18 for amazonaws.com and 1994-11-01 for amazon.com, where the product, pricing and legal pages sit.",
          "The AWS Service Terms were last updated on 1 October 2026. Section 50 covers Amazon Bedrock. No clause naming Code Interpreter was found.",
          "The AWS Privacy Notice, last updated 18 May 2026, names Amazon Web Services, Inc. and says it does not apply to content customers process in AWS services, which the customer agreement governs.",
          "aws.amazon.com/.well-known/security.txt has Contact and Policy fields, and its Expires date of 2026-09-24 had passed on 8 October 2026.",
          "AgentCore release notes carry a month for each entry, not a day."
        ],
        "score": 88
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/agentcore-code-interpreter.json",
      "live": {
        "slug": "agentcore-code-interpreter",
        "probe": {
          "target": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
          "method": "get",
          "lastAt": "2026-10-09T10:14:06.797281038Z",
          "lastOk": false,
          "lastStatus": 0,
          "lastMs": 0,
          "lastNote": "invalid character \"{\" in host name",
          "authRequired": false,
          "uptime24h": 0,
          "uptime30d": 0,
          "p50ms24h": 0,
          "p95ms24h": 0,
          "samples24h": 28,
          "samples30d": 28,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 28,
              "ok": 0
            }
          ],
          "outages": [
            {
              "start": "2026-10-09T07:40:18.24415355Z",
              "end": "0001-01-01T00:00:00Z",
              "note": "invalid character \"{\" in host name"
            }
          ]
        },
        "vendorStatus": {
          "page": "https://health.aws.amazon.com/health/status",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-09T07:57:35.17007236Z"
        },
        "updatedAt": "2026-10-09T10:14:06.797281038Z"
      }
    },
    "answer": "Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
    "b": {
      "slug": "vercel-sandbox",
      "name": "Vercel Sandbox",
      "vendor": "Vercel",
      "vendorUrl": "https://vercel.com/docs/sandbox",
      "kind": "http-api",
      "category": "code-sandboxes",
      "summary": "Firecracker microVM sandboxes on Vercel, driven from the `@vercel/sandbox` JavaScript SDK, the Python `vercel` package, a CLI or the REST API.",
      "url": "https://www.anchorterminal.com/tools/vercel-sandbox",
      "markdownUrl": "https://www.anchorterminal.com/tools/vercel-sandbox.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vercel-sandbox.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vercel-sandbox.json",
      "repo": "https://github.com/vercel/sandbox",
      "license": "Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.vercel.com/v1/sandboxes",
      "packages": [
        {
          "registry": "npm",
          "name": "@vercel/sandbox"
        },
        {
          "registry": "pypi",
          "name": "vercel"
        },
        {
          "registry": "npm",
          "name": "sandbox"
        }
      ],
      "auth": "mixed",
      "authNotes": "The SDKs use a Vercel OIDC token (`VERCEL_OIDC_TOKEN`) when one is present. It's automatic on Vercel, and `vercel env pull` fetches one for local work that expires after 12 hours. Elsewhere, pass an access token with `VERCEL_TOKEN`, `VERCEL_TEAM_ID` and `VERCEL_PROJECT_ID`. The REST API takes the access token as a Bearer header.",
      "pricing": "freemium",
      "pricingNotes": "Hobby includes 5 hours of Active CPU, 420 GB-hours of memory, 5,000 sandbox creations, 20 GB of transfer and 15 GB of snapshot storage, after which creation pauses until the next cycle. Pro and Enterprise pay $0.128 an Active CPU hour, $0.0212 a GB-hour of provisioned memory, $0.60 per million creations, $0.08 a GB-month of snapshot storage and $0.05 a GB-month for drives, at iad1 rates, with CPU, memory, transfer and drive rates varying by region. Pro usage draws first on the plan's $20 monthly credit. Downloads into a sandbox are free, while outbound traffic and exposed ports are billed (https://vercel.com/docs/sandbox/pricing).",
      "priceSummary": "$0.128 / vCPU-hr",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 168,
        "npmWeekly": 6482660,
        "pypiWeekly": 461527,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://vercel.com/docs/sandbox",
      "llmsTxt": "https://vercel.com/llms.txt",
      "capabilities": [
        "sandbox.code",
        "sandbox.fs",
        "sandbox.persist"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "typescript",
        "python",
        "llms-txt",
        "enterprise"
      ],
      "lastRelease": "2026-09-11",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.6,
        "grade": "B",
        "agentReady": false,
        "rank": 168,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 4,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 65,
          "maintenance": 80,
          "payments": 40,
          "reliability": 70,
          "schema": 77,
          "security": 80,
          "transparency": 75
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Active CPU billing, so waiting on model responses costs only memory. Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team.",
        "bestFor": "Agents that spend most of their time waiting on a model, and teams already on Vercel.",
        "strengths": [
          "Active CPU billing, so waiting on model responses costs only memory",
          "Credential brokering proxy outside the sandbox that overwrites headers set by sandbox code",
          "Firecracker microVM with root access, and a firewall with deny-all, domain and CIDR rules",
          "Persistent by default, with automatic snapshots and resume on the next SDK call",
          "Sandbox has its own status-page component, and the feed shows only degradations from July to September 2026"
        ],
        "weaknesses": [
          "Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team",
          "Hobby caps sessions at 45 minutes and pauses creation once the monthly allowance is spent",
          "Snapshots keep the filesystem, not memory or running processes",
          "Egress is allow-all until you set a policy",
          "No MCP server for Sandbox and no public OpenAPI for its endpoints found"
        ],
        "agentNotes": [
          "Call `sandbox.stop()` when the task is done. Memory bills until the session ends",
          "Use `Sandbox.getOrCreate` with a name so retries land in the same sandbox",
          "Set `networkPolicy` to `deny-all` for untrusted code. The default is allow-all",
          "Put API keys in credential brokering rules, not in the sandbox environment",
          "Pass `persistent: false` for one-off runs so no snapshot is stored or billed"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.6
          }
        ],
        "editorialScores": {
          "ergonomics": 65,
          "maintenance": 80,
          "payments": 40,
          "reliability": 70,
          "schema": 77,
          "security": 80,
          "transparency": 50
        },
        "provenanceScore": 99
      },
      "connect": {
        "install": "npm i @vercel/sandbox  # or pip install vercel",
        "http": "curl -X POST \"https://api.vercel.com/v1/sandboxes?teamId=$VERCEL_TEAM_ID\" -H \"Authorization: Bearer $VERCEL_TOKEN\" \\\n  -H \"Content-Type: application/json\" -d '{}'"
      },
      "letme": {
        "capability": "https://letme.dev/sandbox.code",
        "tool": "https://letme.dev/vercel-sandbox"
      },
      "sameCompany": [
        "vercel-connect"
      ],
      "area": "agent-runtime",
      "unitPrices": [
        {
          "item": "Active CPU (iad1)",
          "unit": "vcpu-hour",
          "usd": 0.128,
          "note": "Billed only while the CPU is busy. Memory extra at $0.0212 a GB-hour"
        },
        {
          "item": "Snapshot storage",
          "unit": "gb-month",
          "usd": 0.08
        },
        {
          "item": "Drive storage (iad1)",
          "unit": "gb-month",
          "usd": 0.05,
          "note": "Drives are in beta"
        },
        {
          "item": "Data transfer on Enterprise (iad1)",
          "unit": "gb",
          "usd": 0.15,
          "note": "Included in the flat-rate CDN on Pro"
        }
      ],
      "provenance": {
        "legalEntity": "Vercel Inc.",
        "domain": "vercel.com",
        "domainRegistered": "1999-10-04",
        "domainNote": "vercel.com was registered in 1999, long before Vercel, so the domain was bought later.",
        "endpointOnVendorDomain": true,
        "terms": "https://vercel.com/legal/terms",
        "privacy": "https://vercel.com/legal/privacy-policy",
        "statusPage": "https://www.vercel-status.com",
        "changelog": "https://vercel.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "notes": [
          "Terms (updated 1 June 2026) name Vercel Inc., 440 N Barranca Ave #4133, Covina, California.",
          "security.txt points to HackerOne and responsible.disclosure@vercel.com and expires 2027-09-28.",
          "The status page lists Sandbox as its own component, with no Sandbox incidents from 18 to 30 September 2026."
        ],
        "score": 99
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/vercel-sandbox.json",
      "live": {
        "slug": "vercel-sandbox",
        "probe": {
          "target": "https://api.vercel.com/v1/sandboxes",
          "method": "get",
          "lastAt": "2026-10-09T10:14:31.564631591Z",
          "lastOk": true,
          "lastStatus": 403,
          "lastMs": 514,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 530,
          "p95ms24h": 649,
          "samples24h": 260,
          "samples30d": 2093,
          "days": [
            {
              "date": "2026-10-01",
              "probes": 109,
              "ok": 109
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 109,
              "ok": 109
            }
          ]
        },
        "vendorStatus": {
          "page": "https://www.vercel-status.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-09T10:11:23.258710053Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "vercel/sandbox",
            "version": "@vercel/sandbox-mock@3.6.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:34:05.550834681Z"
          },
          {
            "registry": "npm",
            "name": "@vercel/sandbox",
            "version": "3.6.1",
            "seenAt": "2026-10-08T16:34:03.352451253Z"
          },
          {
            "registry": "npm",
            "name": "sandbox",
            "version": "4.7.1",
            "seenAt": "2026-10-08T16:34:04.473050395Z"
          },
          {
            "registry": "pypi",
            "name": "vercel",
            "version": "0.11.6",
            "released": "2026-10-07",
            "seenAt": "2026-10-08T16:34:04.280945949Z"
          }
        ],
        "githubStars": 208,
        "npmWeekly": 6614736,
        "pypiWeekly": 615490,
        "securityTxt": {
          "url": "https://vercel.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-09-28T12:00:00.000Z",
          "checkedAt": "2026-10-08T15:38:45.293283126Z"
        },
        "llmsTxt": {
          "url": "https://vercel.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:59.369683147Z"
        },
        "domain": {
          "domain": "vercel.com",
          "registered": "1999-10-04",
          "source": "https://rdap.verisign.com/com/v1/domain/vercel.com",
          "checkedAt": "2026-10-04T13:04:52.527918567Z"
        },
        "pages": [
          {
            "url": "https://vercel.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:35.711588091Z",
            "changedAt": "2026-10-08T18:25:35.711588091Z",
            "fingerprint": "304566010012"
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          {
            "url": "https://vercel.com/docs/sandbox/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:37.797965626Z",
            "changedAt": "2026-10-08T18:25:37.797965626Z",
            "fingerprint": "1467a1dea051"
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            "url": "https://vercel.com/legal/privacy-policy",
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            "fingerprint": "35995712008a"
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        ],
        "updatedAt": "2026-10-09T10:14:31.564631591Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Amazon Web Services",
        "b": "Vercel",
        "name": "Vendor"
      },
      {
        "a": "https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke",
        "b": "https://api.vercel.com/v1/sandboxes",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0",
        "b": "Apache-2.0",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-09-11",
        "name": "Last release"
      },
      {
        "a": "2026-10-01",
        "b": "2026-06-01",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-18",
        "b": "2026-06-01",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "776 stars, 335k npm/wk",
        "b": "168 stars, 6.5M npm/wk, 462k PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Amazon Bedrock AgentCore Code Interpreter or Vercel Sandbox?"
      },
      {
        "answer": "Amazon Bedrock AgentCore Code Interpreter needs an API key. Vercel Sandbox takes an API key or an OAuth sign-in.",
        "question": "Do Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox need an API key?"
      },
      {
        "answer": "Yes. Amazon Bedrock AgentCore Code Interpreter has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke and Vercel Sandbox at https://api.vercel.com/v1/sandboxes.",
        "question": "Can an agent call Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 85 against 70",
          "Agent ergonomics, 75 against 65",
          "Security \u0026 auth, 87 against 80"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "Free to start without a card"
        ],
        "goodFor": "A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.",
        "slug": "agentcore-code-interpreter",
        "watchFor": "No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC"
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 40 against 30",
          "Maintenance \u0026 community, 80 against 65",
          "Transparency \u0026 trust, 75 against 70"
        ],
        "also": null,
        "goodFor": "Agents that spend most of their time waiting on a model, and teams already on Vercel.",
        "slug": "vercel-sandbox",
        "watchFor": "Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team"
      }
    ],
    "job": {
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      "name": "Sandbox code"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/agent37-vs-agentcore-code-interpreter.json",
        "title": "Agent 37 Cloud vs Amazon Bedrock AgentCore Code Interpreter",
        "url": "https://www.anchorterminal.com/compare/agent37-vs-agentcore-code-interpreter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-blaxel-sandboxes.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Blaxel Sandboxes",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-blaxel-sandboxes"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-cloudflare-sandbox-sdk.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Cloudflare Sandbox SDK",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-cloudflare-sandbox-sdk"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Daytona",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deno-sandbox.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Deno Sandbox",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deno-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs E2B",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Freestyle",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-microsoft-execution-containers.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Microsoft Execution Containers",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-microsoft-execution-containers"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Modal Sandboxes",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Morph Cloud",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-runloop.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Runloop Devboxes",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-runloop"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-sprites.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Sprites",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-sprites"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox.json",
        "title": "Amazon Bedrock AgentCore Code Interpreter vs Together Code Sandbox",
        "url": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blaxel-sandboxes-vs-vercel-sandbox.json",
        "title": "Blaxel Sandboxes vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/blaxel-sandboxes-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-sandbox-sdk-vs-vercel-sandbox.json",
        "title": "Cloudflare Sandbox SDK vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/cloudflare-sandbox-sdk-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/daytona-vs-vercel-sandbox.json",
        "title": "Daytona vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/daytona-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deno-sandbox-vs-vercel-sandbox.json",
        "title": "Deno Sandbox vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/deno-sandbox-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/e2b-vs-vercel-sandbox.json",
        "title": "E2B vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/e2b-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/freestyle-vs-vercel-sandbox.json",
        "title": "Freestyle vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/freestyle-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-vercel-sandbox.json",
        "title": "Microsoft Execution Containers vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/modal-sandboxes-vs-vercel-sandbox.json",
        "title": "Modal Sandboxes vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/modal-sandboxes-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/morph-cloud-vs-vercel-sandbox.json",
        "title": "Morph Cloud vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/morph-cloud-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/runloop-vs-vercel-sandbox.json",
        "title": "Runloop Devboxes vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/runloop-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sprites-vs-vercel-sandbox.json",
        "title": "Sprites vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/sprites-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/together-code-sandbox-vs-vercel-sandbox.json",
        "title": "Together Code Sandbox vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/together-code-sandbox-vs-vercel-sandbox"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agent37-vs-vercel-sandbox.json",
        "title": "Agent 37 Cloud vs Vercel Sandbox",
        "url": "https://www.anchorterminal.com/compare/agent37-vs-vercel-sandbox"
      }
    ],
    "scores": [
      {
        "agentcore-code-interpreter": 85,
        "by": 15,
        "edge": "agentcore-code-interpreter",
        "key": "reliability",
        "name": "Reliability",
        "vercel-sandbox": 70,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-code-interpreter": 81,
        "by": 4,
        "edge": "agentcore-code-interpreter",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "vercel-sandbox": 77,
        "weight": 13
      },
      {
        "agentcore-code-interpreter": 75,
        "by": 10,
        "edge": "agentcore-code-interpreter",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "vercel-sandbox": 65,
        "weight": 13
      },
      {
        "agentcore-code-interpreter": 87,
        "by": 7,
        "edge": "agentcore-code-interpreter",
        "key": "security",
        "name": "Security \u0026 auth",
        "vercel-sandbox": 80,
        "weight": 14
      },
      {
        "agentcore-code-interpreter": 30,
        "by": 10,
        "edge": "vercel-sandbox",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "vercel-sandbox": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "agentcore-code-interpreter": 65,
        "by": 15,
        "edge": "vercel-sandbox",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "vercel-sandbox": 80,
        "weight": 7
      },
      {
        "agentcore-code-interpreter": 70,
        "by": 5,
        "edge": "vercel-sandbox",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "vercel-sandbox": 75,
        "weight": 7
      }
    ],
    "summary": "Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do sandbox code.",
    "verdicts": {
      "agentcore-code-interpreter": "Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.",
      "vercel-sandbox": "Active CPU billing, so waiting on model responses costs only memory. Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox",
    "json": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.md",
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  "markdown": "Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do sandbox code.\n\n- Amazon Bedrock AgentCore Code Interpreter: grade BB, 73.1/100, rank #89 of 842. Markdown https://www.anchorterminal.com/tools/agentcore-code-interpreter.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json\n- Vercel Sandbox: grade B, 69.6/100, rank #168 of 842. Markdown https://www.anchorterminal.com/tools/vercel-sandbox.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-sandbox.json\n\n## Which one, for what\n\n### Amazon Bedrock AgentCore Code Interpreter (BB)\n\nGood for: A team already on AWS that wants agent code to run under IAM, inside a VPC and beside S3 data, for sessions up to eight hours.\n\nAhead on:\n- Reliability, 85 against 70\n- Agent ergonomics, 75 against 65\n- Security \u0026 auth, 87 against 80\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n\nWatch for: No pause, resume or snapshot. Session files are removed when the session ends, and persistence needs a customer-owned S3 Files or EFS mount inside a VPC\n\n### Vercel Sandbox (B)\n\nGood for: Agents that spend most of their time waiting on a model, and teams already on Vercel.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 30\n- Maintenance \u0026 community, 80 against 65\n- Transparency \u0026 trust, 75 against 70\n\nWatch for: Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team\n\n\n## Score by category\n\n| Category | Weight | Amazon Bedrock AgentCore Code Interpreter | Vercel Sandbox | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 70 | Amazon Bedrock AgentCore Code Interpreter +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 81 | 77 | Amazon Bedrock AgentCore Code Interpreter +4 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 65 | Amazon Bedrock AgentCore Code Interpreter +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 87 | 80 | Amazon Bedrock AgentCore Code Interpreter +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Vercel Sandbox +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 80 | Vercel Sandbox +15 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 75 | Vercel Sandbox +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **73.1 · BB** | **69.6 · B** | |\n\n## Facts side by side\n\n| Fact | Amazon Bedrock AgentCore Code Interpreter | Vercel Sandbox |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Vercel |\n| Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke` | `https://api.vercel.com/v1/sandboxes` |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Proprietary service under the AWS Service Terms. The AgentCore SDKs for Python and TypeScript and the AgentCore MCP server are Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-07 | 2026-09-11 |\n| Terms last updated | 2026-10-01 | 2026-06-01 |\n| Privacy policy last updated | 2026-05-18 | 2026-06-01 |\n| Customer content may train models | yes, with an opt-out | yes, with an opt-out |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 776 stars, 335k npm/wk | 168 stars, 6.5M npm/wk, 462k PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**Amazon Bedrock AgentCore Code Interpreter.** Each session runs in its own microVM with 2 vCPU, 8 GB and a 10 GB disk for up to eight hours, and IAM can scope access to one interpreter. Sessions cannot be paused or resumed, and an AWS account with IAM set-up is needed before a first call.\n\n**Vercel Sandbox.** Active CPU billing, so waiting on model responses costs only memory. Tied to a Vercel team and project even when called from elsewhere, and access tokens reach the whole team.\n\n## Before you call either\n\n### Amazon Bedrock AgentCore Code Interpreter\n\n1. Start a session with `StartCodeInterpreterSession`, then pass its id in the `x-amzn-code-interpreter-session-id` header on every `InvokeCodeInterpreter` call\n2. Set `sessionTimeoutSeconds` when starting. The default is 900 seconds and the maximum is eight hours, and the session ends itself at the timeout\n3. Stop sessions when done. Billing runs per second while code is busy, and a session left open counts against the 1,000 concurrent-session quota\n4. Use `startCommandExecution`, `getTask` and `stopTask` for work longer than the 15-minute synchronous request limit\n5. Retry `ThrottlingException` (429) and `InternalServerException` (500) with exponential backoff, and treat `ServiceQuotaExceededException`, returned as HTTP 402, as a quota to raise\n\n### Vercel Sandbox\n\n1. Call `sandbox.stop()` when the task is done. Memory bills until the session ends\n2. Use `Sandbox.getOrCreate` with a name so retries land in the same sandbox\n3. Set `networkPolicy` to `deny-all` for untrusted code. The default is allow-all\n4. Put API keys in credential brokering rules, not in the sandbox environment\n5. Pass `persistent: false` for one-off runs so no snapshot is stored or billed\n\n## Questions\n\n### Which is better for AI agents, Amazon Bedrock AgentCore Code Interpreter or Vercel Sandbox?\n\nAmazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust.\n\n### Do Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox need an API key?\n\nAmazon Bedrock AgentCore Code Interpreter needs an API key. Vercel Sandbox takes an API key or an OAuth sign-in.\n\n### Can an agent call Amazon Bedrock AgentCore Code Interpreter and Vercel Sandbox without installing anything?\n\nYes. Amazon Bedrock AgentCore Code Interpreter has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com/code-interpreters/{id}/tools/invoke and Vercel Sandbox at https://api.vercel.com/v1/sandboxes.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-vercel-sandbox.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentcore-code-interpreter\", \"b\": \"vercel-sandbox\"}`. From a terminal: `anchor compare agentcore-code-interpreter vercel-sandbox`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-code-interpreter.json and https://www.anchorterminal.com/api/v1/tools/vercel-sandbox.json\n\n## Other comparisons with Amazon Bedrock AgentCore Code Interpreter or Vercel Sandbox\n\n- [Agent 37 Cloud vs Amazon Bedrock AgentCore Code Interpreter](https://www.anchorterminal.com/compare/agent37-vs-agentcore-code-interpreter.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Blaxel Sandboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-blaxel-sandboxes.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Cloudflare Sandbox SDK](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-cloudflare-sandbox-sdk.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Daytona](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-daytona.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Deno Sandbox](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-deno-sandbox.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs E2B](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-e2b.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Freestyle](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-freestyle.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Microsoft Execution Containers](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-microsoft-execution-containers.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Modal Sandboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-modal-sandboxes.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Morph Cloud](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-morph-cloud.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Runloop Devboxes](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-runloop.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Sprites](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-sprites.md)\n- [Amazon Bedrock AgentCore Code Interpreter vs Together Code Sandbox](https://www.anchorterminal.com/compare/agentcore-code-interpreter-vs-together-code-sandbox.md)\n- [Blaxel Sandboxes vs Vercel Sandbox](https://www.anchorterminal.com/compare/blaxel-sandboxes-vs-vercel-sandbox.md)\n- [Cloudflare Sandbox SDK vs Vercel Sandbox](https://www.anchorterminal.com/compare/cloudflare-sandbox-sdk-vs-vercel-sandbox.md)\n- [Daytona vs Vercel Sandbox](https://www.anchorterminal.com/compare/daytona-vs-vercel-sandbox.md)\n- [Deno Sandbox vs Vercel Sandbox](https://www.anchorterminal.com/compare/deno-sandbox-vs-vercel-sandbox.md)\n- [E2B vs Vercel Sandbox](https://www.anchorterminal.com/compare/e2b-vs-vercel-sandbox.md)\n- [Freestyle vs Vercel Sandbox](https://www.anchorterminal.com/compare/freestyle-vs-vercel-sandbox.md)\n- [Microsoft Execution Containers vs Vercel Sandbox](https://www.anchorterminal.com/compare/microsoft-execution-containers-vs-vercel-sandbox.md)\n- [Modal Sandboxes vs Vercel Sandbox](https://www.anchorterminal.com/compare/modal-sandboxes-vs-vercel-sandbox.md)\n- [Morph Cloud vs Vercel Sandbox](https://www.anchorterminal.com/compare/morph-cloud-vs-vercel-sandbox.md)\n- [Runloop Devboxes vs Vercel Sandbox](https://www.anchorterminal.com/compare/runloop-vs-vercel-sandbox.md)\n- [Sprites vs Vercel Sandbox](https://www.anchorterminal.com/compare/sprites-vs-vercel-sandbox.md)\n- [Together Code Sandbox vs Vercel Sandbox](https://www.anchorterminal.com/compare/together-code-sandbox-vs-vercel-sandbox.md)\n- [Agent 37 Cloud vs Vercel Sandbox](https://www.anchorterminal.com/compare/agent37-vs-vercel-sandbox.md)\n",
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        "name": "Amazon Bedrock AgentCore Code Interpreter vs Vercel Sandbox",
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    "description": "Amazon Bedrock AgentCore Code Interpreter scores 73.1 (BB) on agent readiness against Vercel Sandbox's 69.6 (B), and leads in 4 of 7 scored categories. Vercel Sandbox leads on payments \u0026 pricing, maintenance \u0026 community and transparency \u0026 trust. Both do sandbox code. Category…",
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