{ "data": { "a": { "slug": "gumloop", "name": "Gumloop", "vendor": "AgentHub Inc.", "vendorUrl": "https://www.gumloop.com", "kind": "http-api", "category": "workflow-automation", "summary": "Gumloop is a hosted platform from AgentHub Inc. for building AI agents that work across company apps and run on schedules, webhooks and app events. It has a REST API, a Python SDK, a CLI and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/gumloop", "markdownUrl": "https://www.anchorterminal.com/tools/gumloop.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gumloop.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gumloop.json", "repo": "https://github.com/gumloop/gumloop-py", "license": "Proprietary service under Gumloop's terms of service. The Python SDK and CLI repository and the npm package are Apache-2.0", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.gumloop.com/api/v1", "packages": [ { "registry": "pypi", "name": "gumloop" }, { "registry": "npm", "name": "gumloop" } ], "auth": "mixed", "authNotes": "Self-serve API key on the Pro plan or above, created on the Connectors page in the app and sent as a bearer token. A personal key carries its owner's identity and also needs the `x-auth-key` header with the user ID. A team key can run as any team member named in `user_id`. OAuth 2.0 (authorisation code with PKCE, refresh tokens, revocation) is for apps other users sign in to, and client registration is by email to support. The key is also accepted as an `api_key` query parameter. Webhook triggers take no credential beyond the secret in their URL.", "pricing": "paid", "pricingNotes": "Pro is $37 a month with 20,000 credits, unlimited seats and API keys. No free plan is listed. The 14-day Pro trial needs a card and converts to a paid plan unless cancelled, so an agent cannot start without a person and a card. Usage is billed in credits at $0.005 each, with overage capped at 1,000,000 credits a period on Pro. Enterprise is priced through sales (https://www.gumloop.com/pricing, https://docs.gumloop.com/core-concepts/credits.md, checked 2026-10-08).", "priceSummary": "$37 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file or the pricing page (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 188, "pypiWeekly": 2865, "asOf": "2026-10-08" }, "docsUrl": "https://docs.gumloop.com/api-reference/getting-started", "llmsTxt": "https://docs.gumloop.com/llms.txt", "openapi": "https://docs.gumloop.com/api-reference/openapi.yaml", "capabilities": [ "automation.workflows", "automation.apps", "automation.webhooks", "agent.tools" ], "tags": [ "hosted", "paid", "openapi", "llms-txt", "mcp", "oauth", "python", "cli", "webhooks", "agents", "approvals", "soc2", "enterprise" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 61.6, "grade": "C", "agentReady": false, "rank": 419, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 66, "maintenance": 77, "payments": 20, "reliability": 82, "schema": 83, "security": 50, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -2, "negativeNotes": [ "2026-10-08. The API getting-started page says the Python and JavaScript SDKs 'wrap all of it'. The JavaScript SDK page documents only `runFlow`, and the npm package `gumloop` is 1.0.2 from 30 December 2024 (https://docs.gumloop.com/api-reference/getting-started.md, https://registry.npmjs.org/gumloop). 2 points for a misleading claim." ], "verdict": "Gumloop's REST API has a public OpenAPI file with 105 operations, Markdown docs and a changelog with 28 dated releases since 9 July 2026. API keys need the $37 Pro plan, the trial needs a card, the key can travel in the URL, and self-serve content may be used to train Gumloop's models.", "bestFor": "A team that wants hosted agents with connectors, approvals and triggers, driven or configured by an outside agent through the API or MCP server.", "strengths": [ "OpenAPI 3.0 file with 105 operations on 83 paths, and every docs page served as Markdown with `llms.txt` and `llms-full.txt`", "Per-unit prices are public. One credit is $0.005, compute is 5 credits a session-minute and a connector call is 1 credit", "Tool approvals can be set per connector or per tool, and a paused session can be approved or rejected through `POST /sessions/{session_id}/approvals`", "28 dated changelog releases between 9 July and 7 October 2026, and the Python SDK reached 0.5.5 on 8 October 2026", "Status page on incident.io with Platform and API components and no incident reported from July to October 2026" ], "weaknesses": [ "API keys and the `gumloop_api` OAuth scope need the Pro plan at $37 a month. The 14-day trial needs a card", "The docs call the API key in the URL query string the default method, and a webhook trigger's secret is part of its URL", "The privacy policy of 11 June 2026 says self-serve content, Pro and trials included, may be used to train Gumloop's AI models", "The npm package `gumloop` is still 1.0.2 from 30 December 2024 and only runs legacy flows, while the docs say both SDKs wrap the whole API", "No SLA and no per-request rate limit found. On Pro, a 26th concurrent run is rejected with HTTP 429 and skipped for triggers" ], "agentNotes": [ "Send the key as `Authorization: Bearer` and, for a personal key, add the `x-auth-key` header with the user ID. Do not put `api_key` in the URL", "Create sessions with `POST /agents/{agent_id}/sessions`, then poll `GET /sessions/{session_id}`. A 202 means processing or queued, and the reply is not in the response", "Supply your own `session_id` when creating a session. A repeat returns 409, which makes a retry safe", "For streamed output send the same body with `stream: true` to `ws.gumloop.com`. `api.gumloop.com` answers 400 to it", "Treat a webhook trigger URL as a password. It returns `{\"success\": true}` at once and never carries the agent's output" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.6 } ], "editorialScores": { "ergonomics": 66, "maintenance": 77, "payments": 20, "reliability": 82, "schema": 83, "security": 50, "transparency": 41 }, "provenanceScore": 72 }, "connect": { "install": "uv add gumloop", "http": "curl -X POST 'https://api.gumloop.com/api/v1/agents/abc123DEFghiJKL/sessions' -H 'Authorization: Bearer YOUR_ACCESS_TOKEN' -H 'Content-Type: application/json' -d '{\"input\": \"Research Acme Corp and draft a brief.\"}'", "config": { "mcpServers": { "gumloop": { "args": [ "-y", "mcp-remote", "https://mcp.gumloop.com/gumloop/mcp" ], "command": "npx" } } } }, "letme": { "capability": "https://letme.dev/automation.workflows", "tool": "https://letme.dev/gumloop" }, "area": "business", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 37, "note": "20,000 credits a month, unlimited seats and agents, 25 concurrent agent interactions, API keys included" }, { "item": "Credit (overage and list price)", "unit": "credit", "usd": 0.005, "note": "Pro overage is capped at 1,000,000 credits a billing period. Model calls bill at provider cost divided by $0.005" }, { "item": "Agent compute", "unit": "session-hour", "usd": 1.5, "note": "5 credits per session-minute of active processing, minimum 1 credit a response, before the 8 per cent orchestration fee" }, { "item": "Connector tool call", "unit": "call", "usd": 0.005, "note": "1 credit per successful call, plus the tool's own charge for enrichment or scraping tools. Failed calls are free" } ], "provenance": { "legalEntity": "AgentHub Inc. (doing business as Gumloop)", "domain": "gumloop.com", "domainRegistered": "2024-04-25", "endpointOnVendorDomain": true, "terms": "https://www.gumloop.com/tos", "privacy": "https://www.gumloop.com/privacy-policy", "statusPage": "https://status.gumloop.com", "changelog": "https://www.gumloop.com/changelog", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of service (last updated 11/06/2026, read as 11 June 2026) and the privacy policy (effective the same date) both name AgentHub Inc. (doing business as Gumloop). The terms are governed by Delaware law. No postal address was found in the passages read.", "The terms of service are the only published agreement for self-serve customers. They open as terms for the web pages at gumloop.com and also cover subscriptions, the content licence and AI training. Enterprise customers sign a separate agreement that is not published.", "The API answers at api.gumloop.com, streaming at ws.gumloop.com and the MCP server at mcp.gumloop.com.", "https://www.gumloop.com/.well-known/security.txt returned 404 on 8 October 2026.", "RDAP for gumloop.com gives a registration date of 2024-04-25.", "status.gumloop.com is on incident.io with Platform, API and four external AI provider components." ], "score": 72 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gumloop.json", "live": { "slug": "gumloop", "probe": { "target": "https://api.gumloop.com/api/v1", "method": "get", "lastAt": "2026-10-09T10:14:16.40913033Z", "lastOk": true, "lastStatus": 404, "lastMs": 186, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 177, "p95ms24h": 201, "samples24h": 28, "samples30d": 28, "days": [ { "date": "2026-10-09", "probes": 28, "ok": 28 } ] }, "vendorStatus": { "page": "https://status.gumloop.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:10:59.315854007Z" }, "updatedAt": "2026-10-09T10:14:16.40913033Z" } }, "answer": "Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust.", "b": { "slug": "tray", "name": "Tray.ai API + MCP", "vendor": "Tray.ai", "vendorUrl": "https://tray.ai", "kind": "http-api", "category": "workflow-automation", "summary": "Low-code integration platform with an embedded product for SaaS vendors.", "url": "https://www.anchorterminal.com/tools/tray", "markdownUrl": "https://www.anchorterminal.com/tools/tray.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/tray.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/tray.json", "license": "proprietary", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.tray.io/core/v1", "packages": [], "auth": "mixed", "authNotes": "REST and GraphQL endpoints take a bearer token, either the org master token (you act) or an end user's user token (you act as them). Tray Headless MCP uses a one-time OAuth2 sign-in bound to one workspace, and the docs say not to send a static Authorization header. Agent Gateway MCP servers take OAuth2 or an API token, and API token users can't use per-user credentials.", "pricing": "paid", "pricingNotes": "Pro, Team and Enterprise plans, all quoted by sales and billed on tasks that cover integration, automation, MCP and agent use. Every plan lists full API access and Tray Headless, and Agent Gateway is an add-on. A free trial exists with no stated length. No prices are published (https://tray.ai/pricing/).", "priceSummary": "Paid", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 support in Tray docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://tray.ai/documentation/developer/getting-started/introduction", "llmsTxt": "https://tray.ai/documentation/llms.txt", "openapi": "https://tray.ai/documentation/files/openapi/trayapi.yaml", "capabilities": [ "automation.workflows", "automation.apps", "automation.embedded", "automation.code", "automation.webhooks", "automation.auth", "agent.tools" ], "tags": [ "hosted", "mcp", "llms-txt", "openapi", "enterprise", "closed-source", "webhooks" ], "lastRelease": "2026-09-09", "graded": true, "anchor": { "graded": true, "score": 55.5, "grade": "C", "agentReady": false, "rank": 589, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 33, "maintenance": 60, "payments": 0, "reliability": 72, "schema": 80, "security": 66, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Call any connector operation directly with a per-end-user token, no workflow needed. No published prices and no self-serve plan.", "bestFor": "SaaS vendors embedding integrations for their customers, with an agent that acts per end user.", "strengths": [ "Call any connector operation directly with a per-end-user token, no workflow needed", "Published API limits, 30 requests a second with bursts to 50", "Every action logged and streamable, with settable retention and log masking", "Four minor incidents in 90 days, none on the core APIs", "US, EU and APAC regions, SOC 2 Type 2 and a pentest dated 23 September 2026" ], "weaknesses": [ "No published prices and no self-serve plan", "Upstream 429s are wrapped in a 200, which hides throttling from naive retry logic", "Headless MCP can delete projects, workflows and auths with no server-side confirmation", "No official SDK and no tool annotations", "API lives on api.tray.io while the brand, docs and legal pages are on tray.ai" ], "agentNotes": [ "Use a user token when acting for a customer and the master token only for admin work", "Parse the body of call-connector responses for upstream status codes before treating a 200 as success", "Point Headless MCP at the workspace's region, api.eu1.tray.io or api.ap1.tray.io outside the US", "Pick the workspace at OAuth sign-in. Headless MCP binds it to the session and takes no workspace ID", "Ask before any Headless MCP delete. The server won't" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.5 } ], "editorialScores": { "ergonomics": 33, "maintenance": 60, "payments": 0, "reliability": 72, "schema": 80, "security": 66, "transparency": 67 }, "provenanceScore": 68 }, "connect": { "http": "curl https://api.tray.io/core/v1/connectors -H \"Authorization: Bearer $TRAY_MASTER_TOKEN\"", "claudeCode": "claude mcp add --transport http tray https://api.tray.io/mcp", "config": { "mcpServers": { "tray": { "url": "https://api.tray.io/mcp" } } } }, "letme": { "capability": "https://letme.dev/automation.workflows", "tool": "https://letme.dev/tray" }, "area": "business", "provenance": { "legalEntity": "Tray.ai, Inc.", "domain": "tray.ai", "domainRegistered": "2017-12-15", "domainNote": "The API and MCP hosts are on tray.io, the company's former domain. The brand, docs and legal pages are on tray.ai.", "endpointOnVendorDomain": false, "terms": "https://tray.ai/legal/msa/", "privacy": "https://tray.ai/legal/privacy-policy/", "statusPage": "https://status.tray.ai/", "changelog": "https://tray.ai/documentation/releases", "securityTxt": "none", "checked": "2026-09-30", "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/tray.json", "live": { "slug": "tray", "probe": { "target": "https://api.tray.io/core/v1", "method": "get", "lastAt": "2026-10-09T10:14:30.459951233Z", "lastOk": true, "lastStatus": 404, "lastMs": 430, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 446, "p95ms24h": 524, "samples24h": 260, "samples30d": 2295, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "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://status.tray.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:11:22.232338576Z" }, "securityTxt": { "url": "https://tray.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:59.834964634Z" }, "llmsTxt": { "url": "https://tray.ai/documentation/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:56.974439042Z" }, "domain": { "domain": "tray.ai", "registered": "2017-12-15", "source": "https://rdap.identitydigital.services/rdap/domain/tray.ai", "checkedAt": "2026-10-04T13:09:14.155471976Z" }, "pages": [ { "url": "https://tray.ai/documentation/releases", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:25:17.997047088Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "7b99a20c97aa" }, { "url": "https://tray.ai/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:25:24.091767607Z", "changedAt": "2026-10-07T18:10:12.327281171Z", "fingerprint": "adf78e7b6aca" }, { "url": "https://tray.ai/legal/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:25:22.088982995Z", "changedAt": "2026-10-07T18:10:10.594781985Z", "fingerprint": "8e4a2a8f5e95" }, { "url": "https://tray.ai/legal/msa/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:25:20.248452923Z", "changedAt": "2026-10-07T18:10:08.537401988Z", "fingerprint": "be6b48f8b5d1" } ], "updatedAt": "2026-10-09T10:14:30.459951233Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "AgentHub Inc.", "b": "Tray.ai", "name": "Vendor" }, { "a": "https://api.gumloop.com/api/v1", "b": "https://api.tray.io/core/v1", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Paid", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under Gumloop's terms of service. The Python SDK and CLI repository and the npm package are Apache-2.0", "b": "proprietary", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-09-09", "name": "Last release" }, { "a": "no date given", "b": "2025-01-28", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-01-01", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "188 npm/wk, 2.9k PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "none", "b": "2.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, Gumloop or Tray.ai API + MCP?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Gumloop and Tray.ai API + MCP need an API key?" }, { "answer": "Yes. Gumloop has a hosted endpoint at https://api.gumloop.com/api/v1 and Tray.ai API + MCP at https://api.tray.io/core/v1.", "question": "Can an agent call Gumloop and Tray.ai API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 82 against 72", "Agent ergonomics, 66 against 33", "Payments \u0026 pricing, 20 against 0", "Maintenance \u0026 community, 77 against 60" ], "also": null, "goodFor": "A team that wants hosted agents with connectors, approvals and triggers, driven or configured by an outside agent through the API or MCP server.", "slug": "gumloop", "watchFor": "API keys and the `gumloop_api` OAuth scope need the Pro plan at $37 a month. The 14-day trial needs a card" }, { "aheadOn": [ "Security \u0026 auth, 66 against 50", "Transparency \u0026 trust, 68 against 57" ], "also": null, "goodFor": "SaaS vendors embedding integrations for their customers, with an agent that acts per end user.", "slug": "tray", "watchFor": "No published prices and no self-serve plan" } ], "job": { "capability": "automation.workflows", "name": "Automation workflows" }, "others": [ { "json": "https://www.anchorterminal.com/compare/activepieces-vs-gumloop.json", "title": "Activepieces API + MCP vs Gumloop", "url": "https://www.anchorterminal.com/compare/activepieces-vs-gumloop" }, { "json": "https://www.anchorterminal.com/compare/activepieces-vs-tray.json", "title": "Activepieces API + MCP vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/activepieces-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-kestra.json", "title": "Gumloop vs Kestra", "url": "https://www.anchorterminal.com/compare/gumloop-vs-kestra" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-make.json", "title": "Gumloop vs Make API + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-make" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-n8n.json", "title": "Gumloop vs n8n API + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-n8n" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-paragon.json", "title": "Gumloop vs Paragon ActionKit + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-paragon" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-pipedream.json", "title": "Gumloop vs Pipedream API + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-pipedream" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-power-automate.json", "title": "Gumloop vs Microsoft Power Automate", "url": "https://www.anchorterminal.com/compare/gumloop-vs-power-automate" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-windmill.json", "title": "Gumloop vs Windmill API + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-windmill" }, { "json": "https://www.anchorterminal.com/compare/gumloop-vs-workato.json", "title": "Gumloop vs Workato API + MCP", "url": "https://www.anchorterminal.com/compare/gumloop-vs-workato" }, { "json": "https://www.anchorterminal.com/compare/kestra-vs-tray.json", "title": "Kestra vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/kestra-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/make-vs-tray.json", "title": "Make API + MCP vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/make-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/n8n-vs-tray.json", "title": "n8n API + MCP vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/n8n-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/pipedream-vs-tray.json", "title": "Pipedream API + MCP vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/pipedream-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/power-automate-vs-tray.json", "title": "Microsoft Power Automate vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/power-automate-vs-tray" }, { "json": "https://www.anchorterminal.com/compare/tray-vs-windmill.json", "title": "Tray.ai API + MCP vs Windmill API + MCP", "url": "https://www.anchorterminal.com/compare/tray-vs-windmill" }, { "json": "https://www.anchorterminal.com/compare/tray-vs-workato.json", "title": "Tray.ai API + MCP vs Workato API + MCP", "url": "https://www.anchorterminal.com/compare/tray-vs-workato" }, { "json": "https://www.anchorterminal.com/compare/paragon-vs-tray.json", "title": "Paragon ActionKit + MCP vs Tray.ai API + MCP", "url": "https://www.anchorterminal.com/compare/paragon-vs-tray" } ], "scores": [ { "by": 10, "edge": "gumloop", "gumloop": 82, "key": "reliability", "name": "Reliability", "tray": 72, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "edge": "gumloop", "gumloop": 83, "key": "schema", "name": "Schema \u0026 documentation", "tray": 80, "weight": 13 }, { "by": 33, "edge": "gumloop", "gumloop": 66, "key": "ergonomics", "name": "Agent ergonomics", "tray": 33, "weight": 13 }, { "by": 16, "edge": "tray", "gumloop": 50, "key": "security", "name": "Security \u0026 auth", "tray": 66, "weight": 14 }, { "by": 20, "edge": "gumloop", "gumloop": 20, "key": "payments", "name": "Payments \u0026 pricing", "tray": 0, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 17, "edge": "gumloop", "gumloop": 77, "key": "maintenance", "name": "Maintenance \u0026 community", "tray": 60, "weight": 7 }, { "by": 11, "edge": "tray", "gumloop": 57, "key": "transparency", "name": "Transparency \u0026 trust", "tray": 68, "weight": 7 } ], "summary": "Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust. Both do automation workflows.", "verdicts": { "gumloop": "Gumloop's REST API has a public OpenAPI file with 105 operations, Markdown docs and a changelog with 28 dated releases since 9 July 2026. API keys need the $37 Pro plan, the trial needs a card, the key can travel in the URL, and self-serve content may be used to train Gumloop's models.", "tray": "Call any connector operation directly with a per-end-user token, no workflow needed. No published prices and no self-serve plan." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/gumloop-vs-tray", "json": "https://www.anchorterminal.com/compare/gumloop-vs-tray.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gumloop-vs-tray.md", "slim": "https://www.anchorterminal.com/compare/gumloop-vs-tray.min.md" }, "markdown": "Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust. Both do automation workflows.\n\n- Gumloop: grade C, 61.6/100, rank #419 of 842. Markdown https://www.anchorterminal.com/tools/gumloop.md · JSON https://www.anchorterminal.com/api/v1/tools/gumloop.json\n- Tray.ai API + MCP: grade C, 55.5/100, rank #589 of 842. Markdown https://www.anchorterminal.com/tools/tray.md · JSON https://www.anchorterminal.com/api/v1/tools/tray.json\n\n## Which one, for what\n\n### Gumloop (C)\n\nGood for: A team that wants hosted agents with connectors, approvals and triggers, driven or configured by an outside agent through the API or MCP server.\n\nAhead on:\n- Reliability, 82 against 72\n- Agent ergonomics, 66 against 33\n- Payments \u0026 pricing, 20 against 0\n- Maintenance \u0026 community, 77 against 60\n\nWatch for: API keys and the `gumloop_api` OAuth scope need the Pro plan at $37 a month. The 14-day trial needs a card\n\n### Tray.ai API + MCP (C)\n\nGood for: SaaS vendors embedding integrations for their customers, with an agent that acts per end user.\n\nAhead on:\n- Security \u0026 auth, 66 against 50\n- Transparency \u0026 trust, 68 against 57\n\nWatch for: No published prices and no self-serve plan\n\n\n## Score by category\n\n| Category | Weight | Gumloop | Tray.ai API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 82 | 72 | Gumloop +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 80 | Gumloop +3 |\n| Agent ergonomics | 13% (16.2 this run) | 66 | 33 | Gumloop +33 |\n| Security \u0026 auth | 14% (17.5 this run) | 50 | 66 | Tray.ai API + MCP +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 0 | Gumloop +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 60 | Gumloop +17 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 57 | 68 | Tray.ai API + MCP +11 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **61.6 · C** | **55.5 · C** | |\n\n## Facts side by side\n\n| Fact | Gumloop | Tray.ai API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | AgentHub Inc. | Tray.ai |\n| Hosted endpoint | `https://api.gumloop.com/api/v1` | `https://api.tray.io/core/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Paid | Paid |\n| x402 | no | no |\n| Licence | Proprietary service under Gumloop's terms of service. The Python SDK and CLI repository and the npm package are Apache-2.0 | proprietary |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-09-09 |\n| Terms last updated | no date given | 2025-01-28 |\n| Privacy policy last updated | no date given | 2026-01-01 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\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 | not found in the text |\n| Popularity | 188 npm/wk, 2.9k PyPI/wk | none |\n| Agent reviews | none | 2.5/5 (2) |\n\n## Verdicts\n\n**Gumloop.** Gumloop's REST API has a public OpenAPI file with 105 operations, Markdown docs and a changelog with 28 dated releases since 9 July 2026. API keys need the $37 Pro plan, the trial needs a card, the key can travel in the URL, and self-serve content may be used to train Gumloop's models.\n\n**Tray.ai API + MCP.** Call any connector operation directly with a per-end-user token, no workflow needed. No published prices and no self-serve plan.\n\n## Before you call either\n\n### Gumloop\n\n1. Send the key as `Authorization: Bearer` and, for a personal key, add the `x-auth-key` header with the user ID. Do not put `api_key` in the URL\n2. Create sessions with `POST /agents/{agent_id}/sessions`, then poll `GET /sessions/{session_id}`. A 202 means processing or queued, and the reply is not in the response\n3. Supply your own `session_id` when creating a session. A repeat returns 409, which makes a retry safe\n4. For streamed output send the same body with `stream: true` to `ws.gumloop.com`. `api.gumloop.com` answers 400 to it\n5. Treat a webhook trigger URL as a password. It returns `{\"success\": true}` at once and never carries the agent's output\n\n### Tray.ai API + MCP\n\n1. Use a user token when acting for a customer and the master token only for admin work\n2. Parse the body of call-connector responses for upstream status codes before treating a 200 as success\n3. Point Headless MCP at the workspace's region, api.eu1.tray.io or api.ap1.tray.io outside the US\n4. Pick the workspace at OAuth sign-in. Headless MCP binds it to the session and takes no workspace ID\n5. Ask before any Headless MCP delete. The server won't\n\n## Questions\n\n### Which is better for AI agents, Gumloop or Tray.ai API + MCP?\n\nGumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Gumloop and Tray.ai API + MCP need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Gumloop and Tray.ai API + MCP without installing anything?\n\nYes. Gumloop has a hosted endpoint at https://api.gumloop.com/api/v1 and Tray.ai API + MCP at https://api.tray.io/core/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gumloop-vs-tray.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gumloop-vs-tray.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gumloop\", \"b\": \"tray\"}`. From a terminal: `anchor compare gumloop tray`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gumloop.json and https://www.anchorterminal.com/api/v1/tools/tray.json\n\n## Other comparisons with Gumloop or Tray.ai API + MCP\n\n- [Activepieces API + MCP vs Gumloop](https://www.anchorterminal.com/compare/activepieces-vs-gumloop.md)\n- [Activepieces API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/activepieces-vs-tray.md)\n- [Gumloop vs Kestra](https://www.anchorterminal.com/compare/gumloop-vs-kestra.md)\n- [Gumloop vs Make API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-make.md)\n- [Gumloop vs n8n API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-n8n.md)\n- [Gumloop vs Paragon ActionKit + MCP](https://www.anchorterminal.com/compare/gumloop-vs-paragon.md)\n- [Gumloop vs Pipedream API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-pipedream.md)\n- [Gumloop vs Microsoft Power Automate](https://www.anchorterminal.com/compare/gumloop-vs-power-automate.md)\n- [Gumloop vs Windmill API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-windmill.md)\n- [Gumloop vs Workato API + MCP](https://www.anchorterminal.com/compare/gumloop-vs-workato.md)\n- [Kestra vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/kestra-vs-tray.md)\n- [Make API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/make-vs-tray.md)\n- [n8n API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/n8n-vs-tray.md)\n- [Pipedream API + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/pipedream-vs-tray.md)\n- [Microsoft Power Automate vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/power-automate-vs-tray.md)\n- [Tray.ai API + MCP vs Windmill API + MCP](https://www.anchorterminal.com/compare/tray-vs-windmill.md)\n- [Tray.ai API + MCP vs Workato API + MCP](https://www.anchorterminal.com/compare/tray-vs-workato.md)\n- [Paragon ActionKit + MCP vs Tray.ai API + MCP](https://www.anchorterminal.com/compare/paragon-vs-tray.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Gumloop vs Tray.ai API + MCP", "url": "" } ], "description": "Gumloop scores 61.6 (C) on agent readiness against Tray.ai API + MCP's 55.5 (C), and leads in 5 of 7 scored categories. Tray.ai API + MCP leads on security \u0026 auth and transparency \u0026 trust. Both do automation workflows. Category scores, facts, verdicts and agent notes side by…", "facts": [ "Gumloop C 61.6", "Tray.ai API + MCP C 55.5", "scores" ], "h1": "Gumloop vs Tray.ai API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-gumloop-vs-tray.png", "path": "/compare/gumloop-vs-tray", "published": "2026-10-01", "section": "tools", "title": "Gumloop vs Tray.ai API + MCP for AI agents, C 61.6 vs C 55.5", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/gumloop-vs-tray" }, "tokens": { "markdown": 2150, "slim": 680 }, "version": 1 }