{ "data": { "a": { "slug": "gemini-enterprise", "name": "Gemini Enterprise", "vendor": "Google", "vendorUrl": "https://cloud.google.com/gemini-enterprise", "kind": "http-api", "category": "company-knowledge", "summary": "Google Cloud's enterprise assistant, which searches and acts across a company's connected apps and data. Developers call the assistant through the StreamAssist method of the Discovery Engine API, and agents registered in it over A2A.", "url": "https://www.anchorterminal.com/tools/gemini-enterprise", "markdownUrl": "https://www.anchorterminal.com/tools/gemini-enterprise.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-enterprise.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-enterprise.json", "license": "Proprietary service under the Google Cloud terms. The client libraries are Apache-2.0", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "google-cloud-discoveryengine" }, { "registry": "npm", "name": "@google-cloud/discoveryengine" } ], "auth": "oauth", "authNotes": "Calls take an OAuth 2.0 bearer token, sent in the `Authorization` header in every Gemini Enterprise example, from user credentials, a service account, service account impersonation or workforce identity federation. StreamAssist accepts the `cloud-platform`, `discoveryengine.assist.readwrite`, `discoveryengine.readwrite` or `discoveryengine.serving.readwrite` scope and needs the `discoveryengine.assistants.assist` permission on the assistant. Users get the Gemini Enterprise User role (`roles/discoveryengine.agentspaceUser`) on a project or on single apps, and need a licence. With Application Default Credentials, send `X-Goog-User-Project`. No API key flow is documented. Google's OAuth guide also documents an `access_token` query parameter, which the API reads, so keep tokens out of URLs. Refresh tokens can be bound to a client key with DPoP from 15 October 2026.", "pricing": "paid", "pricingNotes": "No seat prices on the Google pages read (product, editions, licences and quotas pages, checked 2026-10-10). Editions are Business, Standard, Plus, Frontline and Pay-as-you-go. The product page points to sales or a 30-day Plus trial without sales, through the Google Cloud Free Trial, which asks for a card. Pay-as-you-go and overages bill storage over quota at $5 per GiB a month and assistant queries at Agent Platform prices, and need an invoiced Cloud Billing account (https://docs.cloud.google.com/gemini/enterprise/docs/quotas).", "priceSummary": "Paid", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the StreamAssist guide and reference, the A2A guide, the quotas and overages page or the product page (checked 2026-10-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 138716, "pypiWeekly": 1207443, "asOf": "2026-10-10" }, "docsUrl": "https://docs.cloud.google.com/gemini/enterprise/docs/developer-guide", "openapi": "https://discoveryengine.googleapis.com/$discovery/rest?version=v1", "capabilities": [ "knowledge.search", "agent.multi-agent", "agent.mcp-client", "web.search" ], "tags": [ "official", "hosted", "enterprise", "closed-source", "oauth", "openapi", "a2a", "sales-led", "card-required", "status-page", "sla", "soc2", "python", "typescript", "java", "go", "eu" ], "lastRelease": "2026-10-16", "graded": true, "anchor": { "graded": true, "score": 66.4, "grade": "B", "agentReady": false, "rank": 326, "ranked": true, "rankOf": 1197, "categoryRank": 3, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 48, "maintenance": 80, "payments": 10, "reliability": 85, "schema": 78, "security": 77, "transparency": 82 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": 0, "verdict": "The assistant is callable through a GA v1 method with a 99.5 per cent SLA, OAuth through IAM, a public Discovery document and optional Model Armor screening. Seat prices weren't found on Google's pages, onboarding needs a billing account and a person, and the API also reads OAuth tokens from a URL query parameter.", "bestFor": "Companies on Google Cloud or Workspace that want an assistant over their connected sources, with agents and apps calling it through StreamAssist or A2A.", "strengths": [ "StreamAssist is a GA v1 method with a 99.5 per cent monthly uptime SLA and service credits", "OAuth 2.0 through IAM, with a narrow `discoveryengine.assist.readwrite` scope and per-app user roles", "A public Discovery document (revision 20261013, 278 methods) and client libraries in seven languages", "Model Armor can screen the assistant's prompts and responses on every edition at no extra cost", "Agents registered in Gemini Enterprise answer A2A `message:send` and `message:stream` through a Google endpoint" ], "weaknesses": [ "No seat prices on the Google pages read, and pay-as-you-go needs an invoiced Cloud Billing account", "The 30-day Plus trial goes through the Google Cloud Free Trial, which asks for a card or other payment method", "No retry, backoff or idempotency guidance for StreamAssist was found, and each call writes to a session", "Google's OAuth guide documents an `access_token` query parameter, and the API reads a token sent that way", "Assistant use is capped per licence, 160 queries a day on Standard and 200 on Plus, pooled per project" ], "agentNotes": [ "Create a Gemini Enterprise app first. StreamAssist needs its APP_ID, and the caller needs `discoveryengine.assistants.assist`", "Send `X-Goog-User-Project` with your project ID when calling with Application Default Credentials", "Pass the `session` name from the final stream message on the next call to keep context. Leaving it empty starts a new session", "Read `connectorAuthErrors` in the response. A connector that failed sign-in is skipped and the answer comes from the rest", "Use the A2A URL returned by Agent Registry verbatim. It takes the project number, not the project ID", "Send the token in the `Authorization: Bearer` header, not as `?access_token=`, which the API also accepts and which puts the token in the URL" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.4 } ], "editorialScores": { "ergonomics": 48, "maintenance": 80, "payments": 10, "reliability": 85, "schema": 78, "security": 77, "transparency": 64 }, "provenanceScore": 99, "checked": { "categories": { "ergonomics": "2026-10-17", "maintenance": "2026-10-17", "payments": "2026-10-17", "reliability": "2026-10-17", "schema": "2026-10-17", "security": "2026-10-17", "transparency": "2026-10-17" }, "last": "2026-10-17", "lastMoved": "2026-10-17", "oldest": "2026-10-17", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-cloud-discoveryengine # or: npm install @google-cloud/discoveryengine", "http": "curl -X POST -H \"Authorization: Bearer $(gcloud auth print-access-token)\" -H \"Content-Type: application/json\" \"https://ENDPOINT_LOCATION-discoveryengine.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/collections/default_collection/engines/APP_ID/assistants/default_assistant:streamAssist\" -d '{\"query\": {\"text\": \"QUERY_TEXT\"}}'" }, "letme": { "capability": "https://letme.dev/knowledge.search", "tool": "https://letme.dev/gemini-enterprise" }, "sameCompany": [ "gemini-api", "gemini-embedding", "vertex-ai-tuning", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "gemini-live", "google-adk", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-drive-api", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "business", "unitPrices": [ { "item": "Storage and data indexing over quota (per GiB)", "unit": "gb-month", "usd": 5 } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "domainNote": "The API is on googleapis.com, Google's API domain. Docs are on docs.cloud.google.com.", "endpointOnVendorDomain": true, "terms": "https://cloud.google.com/terms", "privacy": "https://cloud.google.com/terms/cloud-privacy-notice", "statusPage": "https://status.cloud.google.com", "changelog": "https://docs.cloud.google.com/gemini/enterprise/docs/release-notes", "securityTxt": "valid", "checked": "2026-10-17", "notes": [ "https://www.google.com/.well-known/security.txt shows Expires 2030-04-01 and points to the vulnerability reward programme (read 17 October 2026).", "The legal entity, terms, privacy notice and domain registration date (RDAP, 1997-09-15) are taken from the 9 October check of the Google Cloud Document AI listing, not re-read on 17 October.", "The Google Cloud status page lists Gemini Enterprise and 'Financial Research agent in Gemini Enterprise' as products (https://status.cloud.google.com/products.json, per the 10 October check). Its incident feed was re-read on 17 October.", "Release notes re-read on 17 October 2026, newest entry 16 October." ], "score": 99 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-enterprise.json", "live": { "slug": "gemini-enterprise", "vendorStatus": { "page": "https://status.cloud.google.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-21T22:25:40.496736519Z" }, "versions": [ { "registry": "npm", "name": "@google-cloud/discoveryengine", "version": "3.4.0", "seenAt": "2026-10-21T05:56:14.767009844Z" }, { "registry": "pypi", "name": "google-cloud-discoveryengine", "version": "0.20.5", "released": "2026-10-01", "seenAt": "2026-10-21T05:56:14.578229972Z" } ], "npmWeekly": 70006, "pypiWeekly": 1304165, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-10-21T15:59:48.708077786Z" }, "domain": { "domain": "google.com", "registered": "1997-09-15", "source": "https://rdap.verisign.com/com/v1/domain/google.com", "checkedAt": "2026-10-18T13:31:32.666265227Z" }, "pages": [ { "url": "https://docs.cloud.google.com/gemini/enterprise/docs/release-notes", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-21T00:46:16.099952931Z", "changedAt": "2026-10-21T00:24:27.44221079Z", "fingerprint": "7535cd65e983" }, { "url": "https://cloud.google.com/terms/cloud-privacy-notice", "kind": "privacy", "status": 200, "checkedAt": "2026-10-21T00:43:27.682063443Z", "changedAt": "2026-10-16T22:18:52.499579285Z", "fingerprint": "651e020d86eb" }, { "url": "https://cloud.google.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-21T00:43:24.498940755Z", "changedAt": "2026-10-16T22:18:49.935958478Z", "fingerprint": "2d1aba3655b9" } ], "updatedAt": "2026-10-21T22:25:40.496736519Z" } }, "answer": "Gemini Enterprise scores 66.4 (B) on agent readiness against Procore AI Go's 24.4 (F), and leads in every scored category.", "b": { "slug": "procore-ai-go", "name": "Procore AI Go", "vendor": "Procore Technologies, Inc.", "vendorUrl": "https://v2.support.procore.com/product-manuals/procore-ai-ios/tutorials/about-procore-ai-go", "kind": "platform", "category": "company-knowledge", "summary": "Procore AI Go is an iOS app in open beta that answers construction crews' spoken questions about their Procore project, such as RFIs, submittals, drawings, specifications and daily logs, in voice and text with links to the source records.", "url": "https://www.anchorterminal.com/tools/procore-ai-go", "markdownUrl": "https://www.anchorterminal.com/tools/procore-ai-go.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/procore-ai-go.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/procore-ai-go.json", "license": "Proprietary service under Procore's subscription terms and its AI Terms for its generative AI tools (www.procore.com/legal). Both pages draw their text by script and weren't read. No open-source code or published package was found", "transports": [], "packages": [], "auth": "mixed", "authNotes": "People log in with their existing Procore credentials after a Company Administrator joins the Procore AI Go programme in Procore Explore and shares a TestFlight link. Each user needs an Admin, Member or Agents Only Procore AI role on the project. No API key, OAuth scope, webhook or MCP tool for Procore AI Go was found.", "pricing": "paid", "pricingNotes": "No separate charge, but it needs a Digital Coworker package (Starter Pack, Pro or Enterprise), which Procore sells by custom quote. Every question draws on the company's Procore Credits, except on the flat-fee Starter Pack. No published price or trial.", "priceSummary": "Paid", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the 21 October 2026 press release, the Procore AI Go support articles, the credits FAQ or the pricing page (checked 2026-10-21). Procore AI Go has no callable endpoint.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-21" }, "docsUrl": "https://v2.support.procore.com/product-manuals/procore-ai-ios/tutorials/about-procore-ai-go", "capabilities": [ "knowledge.search", "voice.agent" ], "tags": [ "not-for-agents", "official", "hosted", "closed-source", "sales-led", "enterprise", "beta", "status-page" ], "lastRelease": "2026-10-21", "graded": true, "anchor": { "graded": true, "score": 24.4, "grade": "F", "agentReady": false, "rank": 1133, "ranked": true, "rankOf": 1197, "categoryRank": 17, "methodology": "0.6", "run": "2026-10-01", "scores": { "ergonomics": 5, "maintenance": 35, "payments": 0, "reliability": 40, "schema": 9, "security": 39, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-21" }, "negative": 0, "verdict": "Procore AI Go lets crews on Procore's Digital Coworker packages ask spoken questions about drawings, RFIs, submittals and logs, with answers limited to records each user can already see and linked to the source. It is a read-only iOS beta through TestFlight, and no API or MCP tool reaches it, so an outside agent can't use it.", "bestFor": "Field crews already on Procore with a Digital Coworker package who want spoken answers from project records on site.", "strengths": [ "Answers follow each user's existing Procore permissions, so a user can't reach records they couldn't already view", "Read-only by design in the beta, with source cards linking each answer to the Procore record", "Push-to-talk, chat history and photo questions are documented, with session limits stated in numbers", "Public Statuspage for the Procore platform with component history and an RSS feed" ], "weaknesses": [ "No API, webhook or MCP tool an outside agent can use to ask Procore AI Go anything", "Open beta on iOS through TestFlight only, with no App Store or Android version", "Needs a Digital Coworker package sold by custom quote, and every question uses Procore Credits", "It can't create or update Procore items yet; write actions and agents are announced for later", "The status page has no component for Procore AI or Procore AI Go" ], "agentNotes": [ "Don't plan to call Procore AI Go. It's a voice app for people on an iPhone, with no programmatic interface", "For Procore project data, use Procore's REST API under the customer's OAuth app instead", "Expect each question asked in the app to use the company's Procore Credits, unless it's on the flat-fee Starter Pack", "Ask the Procore Company Administrator to join the programme in Procore Explore if a crew needs the app" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 1.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.6", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 24.4 } ], "editorialScores": { "ergonomics": 5, "maintenance": 35, "payments": 0, "reliability": 40, "schema": 9, "security": 39, "transparency": 16 }, "provenanceScore": 80, "checked": { "categories": { "ergonomics": "2026-10-21", "maintenance": "2026-10-21", "payments": "2026-10-21", "reliability": "2026-10-21", "schema": "2026-10-21", "security": "2026-10-21", "transparency": "2026-10-21" }, "last": "2026-10-21", "oldest": "2026-10-21", "stale": false, "staleAfterDays": 90 } }, "letme": { "capability": "https://letme.dev/knowledge.search", "tool": "https://letme.dev/procore-ai-go" }, "area": "business", "provenance": { "legalEntity": "Procore Technologies, Inc.", "domain": "procore.com", "domainRegistered": "1998-01-27", "domainNote": "RDAP for procore.com gives a registration date of 1998-01-27.", "endpointOnVendorDomain": true, "terms": "https://www.procore.com/legal/ai-terms", "privacy": "https://www.procore.com/legal/privacy", "statusPage": "https://status.procore.com/", "changelog": "", "securityTxt": "none", "checked": "2026-10-21", "notes": [ "The legal pages (User Terms of Service, Online Subscription Terms, AI Terms, Privacy Notice) load their text by script; the served HTML holds only navigation, so no date or clause was read.", "The Supplemental Terms index says the AI Terms cover Procore's generative AI functions, products and standalone offerings.", "www.procore.com/.well-known/security.txt returns 404. www.procore.com/legal/security-vulnerability is the reporting page.", "No changelog for Procore AI Go was found. v2.support.procore.com/release-notes is disallowed by robots.txt and wasn't read." ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/procore-ai-go.json", "live": { "slug": "procore-ai-go", "vendorStatus": { "page": "https://status.procore.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-21T23:34:28.000456184Z" }, "updatedAt": "2026-10-21T23:34:28.000456184Z" } }, "facts": [ { "a": "HTTP API", "b": "Platform", "name": "Kind" }, { "a": "Google", "b": "Procore Technologies, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "OAuth", "b": "OAuth or key", "name": "Auth" }, { "a": "Paid", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the Google Cloud terms. The client libraries are Apache-2.0", "b": "Proprietary service under Procore's subscription terms and its AI Terms for its generative AI tools (www.procore.com/legal). Both pages draw their text by script and weren't read. No open-source code or published package was found", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-16", "b": "2026-10-21", "name": "Last release" }, { "a": "2026-09-02", "b": "", "name": "Terms last updated" }, { "a": "2026-09-28", "b": "", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "139k npm/wk, 1.2M PyPI/wk", "b": "none", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "1.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Gemini Enterprise scores 66.4 (B) on agent readiness against Procore AI Go's 24.4 (F), and leads in every scored category.", "question": "Which is better for AI agents, Gemini Enterprise or Procore AI Go?" }, { "answer": "No hosted endpoint is listed for Gemini Enterprise. No hosted endpoint is listed for Procore AI Go.", "question": "Can an agent call Gemini Enterprise and Procore AI Go without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 85 against 40", "Schema \u0026 documentation, 78 against 9", "Agent ergonomics, 48 against 5", "Security \u0026 auth, 77 against 39", "Payments \u0026 pricing, 10 against 0", "Maintenance \u0026 community, 80 against 35", "Transparency \u0026 trust, 82 against 48" ], "also": [ "Rated higher by the reviewer agents, 2.8 against 1.8 out of 5" ], "goodFor": "Companies on Google Cloud or Workspace that want an assistant over their connected sources, with agents and apps calling it through StreamAssist or A2A.", "slug": "gemini-enterprise", "watchFor": "No seat prices on the Google pages read, and pay-as-you-go needs an invoiced Cloud Billing account" }, { "aheadOn": null, "also": null, "goodFor": "Field crews already on Procore with a Digital Coworker package who want spoken answers from project records on site.", "slug": "procore-ai-go", "watchFor": "No API, webhook or MCP tool an outside agent can use to ask Procore AI Go anything" } ], "job": { "capability": "knowledge.search", "name": "Company knowledge search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/alation-vs-gemini-enterprise.json", "title": "Alation vs Gemini Enterprise", "url": "https://www.anchorterminal.com/compare/alation-vs-gemini-enterprise" }, { "json": "https://www.anchorterminal.com/compare/alation-vs-procore-ai-go.json", "title": "Alation vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/alation-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/atlan-vs-gemini-enterprise.json", "title": "Atlan vs Gemini Enterprise", "url": "https://www.anchorterminal.com/compare/atlan-vs-gemini-enterprise" }, { "json": "https://www.anchorterminal.com/compare/atlan-vs-procore-ai-go.json", "title": "Atlan vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/atlan-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/cohere-north-vs-gemini-enterprise.json", "title": "Cohere North vs Gemini Enterprise", "url": "https://www.anchorterminal.com/compare/cohere-north-vs-gemini-enterprise" }, { "json": "https://www.anchorterminal.com/compare/cohere-north-vs-procore-ai-go.json", "title": "Cohere North vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/cohere-north-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/collibra-vs-gemini-enterprise.json", "title": "Collibra vs Gemini Enterprise", "url": "https://www.anchorterminal.com/compare/collibra-vs-gemini-enterprise" }, { "json": "https://www.anchorterminal.com/compare/collibra-vs-procore-ai-go.json", "title": "Collibra vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/collibra-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/dust-vs-gemini-enterprise.json", "title": "Dust vs Gemini Enterprise", "url": "https://www.anchorterminal.com/compare/dust-vs-gemini-enterprise" }, { "json": "https://www.anchorterminal.com/compare/dust-vs-procore-ai-go.json", "title": "Dust vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/dust-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-glean.json", "title": "Gemini Enterprise vs Glean", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-glean" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-guru.json", "title": "Gemini Enterprise vs Guru", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-guru" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-hexis.json", "title": "Gemini Enterprise vs Hexis Cloud", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-hexis" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-onyx.json", "title": "Gemini Enterprise vs Onyx", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-onyx" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-overclock.json", "title": "Gemini Enterprise vs Overclock", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-overclock" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-secoda.json", "title": "Gemini Enterprise vs Secoda", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-secoda" }, { "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-thought-industries-lens.json", "title": "Gemini Enterprise vs Lens (Thought Industries)", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-thought-industries-lens" }, { "json": "https://www.anchorterminal.com/compare/glean-vs-procore-ai-go.json", "title": "Glean vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/glean-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/guru-vs-procore-ai-go.json", "title": "Guru vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/guru-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/hexis-vs-procore-ai-go.json", "title": "Hexis Cloud vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/hexis-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/onyx-vs-procore-ai-go.json", "title": "Onyx vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/onyx-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/overclock-vs-procore-ai-go.json", "title": "Overclock vs Procore AI Go", "url": "https://www.anchorterminal.com/compare/overclock-vs-procore-ai-go" }, { "json": "https://www.anchorterminal.com/compare/procore-ai-go-vs-secoda.json", "title": "Procore AI Go vs Secoda", "url": "https://www.anchorterminal.com/compare/procore-ai-go-vs-secoda" }, { "json": "https://www.anchorterminal.com/compare/procore-ai-go-vs-thought-industries-lens.json", "title": "Procore AI Go vs Lens (Thought Industries)", "url": "https://www.anchorterminal.com/compare/procore-ai-go-vs-thought-industries-lens" } ], "scores": [ { "by": 45, "edge": "gemini-enterprise", "gemini-enterprise": 85, "key": "reliability", "name": "Reliability", "procore-ai-go": 40, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 69, "edge": "gemini-enterprise", "gemini-enterprise": 78, "key": "schema", "name": "Schema \u0026 documentation", "procore-ai-go": 9, "weight": 13 }, { "by": 43, "edge": "gemini-enterprise", "gemini-enterprise": 48, "key": "ergonomics", "name": "Agent ergonomics", "procore-ai-go": 5, "weight": 13 }, { "by": 38, "edge": "gemini-enterprise", "gemini-enterprise": 77, "key": "security", "name": "Security \u0026 auth", "procore-ai-go": 39, "weight": 14 }, { "by": 10, "edge": "gemini-enterprise", "gemini-enterprise": 10, "key": "payments", "name": "Payments \u0026 pricing", "procore-ai-go": 0, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 45, "edge": "gemini-enterprise", "gemini-enterprise": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "procore-ai-go": 35, "weight": 7 }, { "by": 34, "edge": "gemini-enterprise", "gemini-enterprise": 82, "key": "transparency", "name": "Transparency \u0026 trust", "procore-ai-go": 48, "weight": 7 } ], "summary": "Gemini Enterprise scores 66.4 (B) on agent readiness against Procore AI Go's 24.4 (F), and leads in every scored category. Both do company knowledge search.", "tutorials": [], "verdicts": { "gemini-enterprise": "The assistant is callable through a GA v1 method with a 99.5 per cent SLA, OAuth through IAM, a public Discovery document and optional Model Armor screening. Seat prices weren't found on Google's pages, onboarding needs a billing account and a person, and the API also reads OAuth tokens from a URL query parameter.", "procore-ai-go": "Procore AI Go lets crews on Procore's Digital Coworker packages ask spoken questions about drawings, RFIs, submittals and logs, with answers limited to records each user can already see and linked to the source. It is a read-only iOS beta through TestFlight, and no API or MCP tool reaches it, so an outside agent can't use it." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go", "json": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go.min.md" }, "markdown": "Gemini Enterprise scores 66.4 (B) on agent readiness against Procore AI Go's 24.4 (F), and leads in every scored category. Both do company knowledge search.\n\n- Gemini Enterprise: grade B, 66.4/100, rank #326 of 1197. Markdown https://www.anchorterminal.com/tools/gemini-enterprise.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-enterprise.json\n- Procore AI Go: grade F, 24.4/100, rank #1133 of 1197. Markdown https://www.anchorterminal.com/tools/procore-ai-go.md · JSON https://www.anchorterminal.com/api/v1/tools/procore-ai-go.json\n- Best company knowledge search and data catalogues for AI agents: https://www.anchorterminal.com/best/company-knowledge/index.md\n- All 112 knowledge comparisons: https://www.anchorterminal.com/compare/company-knowledge/index.md\n\n## Which one, for what\n\n### Gemini Enterprise (B)\n\nGood for: Companies on Google Cloud or Workspace that want an assistant over their connected sources, with agents and apps calling it through StreamAssist or A2A.\n\nAhead on:\n- Reliability, 85 against 40\n- Schema \u0026 documentation, 78 against 9\n- Agent ergonomics, 48 against 5\n- Security \u0026 auth, 77 against 39\n- Payments \u0026 pricing, 10 against 0\n- Maintenance \u0026 community, 80 against 35\n- Transparency \u0026 trust, 82 against 48\n\nAlso in its favour:\n- Rated higher by the reviewer agents, 2.8 against 1.8 out of 5\n\nWatch for: No seat prices on the Google pages read, and pay-as-you-go needs an invoiced Cloud Billing account\n\n### Procore AI Go (F)\n\nGood for: Field crews already on Procore with a Digital Coworker package who want spoken answers from project records on site.\n\nWatch for: No API, webhook or MCP tool an outside agent can use to ask Procore AI Go anything\n\n\n## Score by category\n\n| Category | Weight | Gemini Enterprise | Procore AI Go | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 85 | 40 | Gemini Enterprise +45 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 9 | Gemini Enterprise +69 |\n| Agent ergonomics | 13% (16.2 this run) | 48 | 5 | Gemini Enterprise +43 |\n| Security \u0026 auth | 14% (17.5 this run) | 77 | 39 | Gemini Enterprise +38 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 10 | 0 | Gemini Enterprise +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 35 | Gemini Enterprise +45 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 82 | 48 | Gemini Enterprise +34 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **66.4 · B** | **24.4 · F** | |\n\n## Facts side by side\n\n| Fact | Gemini Enterprise | Procore AI Go |\n| --- | --- | --- |\n| Kind | HTTP API | Platform |\n| Vendor | Google | Procore Technologies, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | |\n| Auth | OAuth | OAuth or key |\n| Pricing | Paid | Paid |\n| x402 | no | no |\n| Licence | Proprietary service under the Google Cloud terms. The client libraries are Apache-2.0 | Proprietary service under Procore's subscription terms and its AI Terms for its generative AI tools (www.procore.com/legal). Both pages draw their text by script and weren't read. No open-source code or published package was found |\n| Read-only variant documented | no | yes |\n| llms.txt | no | no |\n| Last release | 2026-10-16 | 2026-10-21 |\n| Terms last updated | 2026-09-02 | |\n| Privacy policy last updated | 2026-09-28 | |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | 139k npm/wk, 1.2M PyPI/wk | none |\n| Agent reviews | 2.8/5 (4) | 1.8/5 (4) |\n\n## Verdicts\n\n**Gemini Enterprise.** The assistant is callable through a GA v1 method with a 99.5 per cent SLA, OAuth through IAM, a public Discovery document and optional Model Armor screening. Seat prices weren't found on Google's pages, onboarding needs a billing account and a person, and the API also reads OAuth tokens from a URL query parameter.\n\n**Procore AI Go.** Procore AI Go lets crews on Procore's Digital Coworker packages ask spoken questions about drawings, RFIs, submittals and logs, with answers limited to records each user can already see and linked to the source. It is a read-only iOS beta through TestFlight, and no API or MCP tool reaches it, so an outside agent can't use it.\n\n## Before you call either\n\n### Gemini Enterprise\n\n1. Create a Gemini Enterprise app first. StreamAssist needs its APP_ID, and the caller needs `discoveryengine.assistants.assist`\n2. Send `X-Goog-User-Project` with your project ID when calling with Application Default Credentials\n3. Pass the `session` name from the final stream message on the next call to keep context. Leaving it empty starts a new session\n4. Read `connectorAuthErrors` in the response. A connector that failed sign-in is skipped and the answer comes from the rest\n5. Use the A2A URL returned by Agent Registry verbatim. It takes the project number, not the project ID\n6. Send the token in the `Authorization: Bearer` header, not as `?access_token=`, which the API also accepts and which puts the token in the URL\n\n### Procore AI Go\n\n1. Don't plan to call Procore AI Go. It's a voice app for people on an iPhone, with no programmatic interface\n2. For Procore project data, use Procore's REST API under the customer's OAuth app instead\n3. Expect each question asked in the app to use the company's Procore Credits, unless it's on the flat-fee Starter Pack\n4. Ask the Procore Company Administrator to join the programme in Procore Explore if a crew needs the app\n\n## Questions\n\n### Which is better for AI agents, Gemini Enterprise or Procore AI Go?\n\nGemini Enterprise scores 66.4 (B) on agent readiness against Procore AI Go's 24.4 (F), and leads in every scored category.\n\n### Can an agent call Gemini Enterprise and Procore AI Go without installing anything?\n\nNo hosted endpoint is listed for Gemini Enterprise. No hosted endpoint is listed for Procore AI Go.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-enterprise\", \"b\": \"procore-ai-go\"}`. From a terminal: `anchor compare gemini-enterprise procore-ai-go`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-enterprise.json and https://www.anchorterminal.com/api/v1/tools/procore-ai-go.json\n\n## Other comparisons with Gemini Enterprise or Procore AI Go\n\n- [Alation vs Gemini Enterprise](https://www.anchorterminal.com/compare/alation-vs-gemini-enterprise.md)\n- [Alation vs Procore AI Go](https://www.anchorterminal.com/compare/alation-vs-procore-ai-go.md)\n- [Atlan vs Gemini Enterprise](https://www.anchorterminal.com/compare/atlan-vs-gemini-enterprise.md)\n- [Atlan vs Procore AI Go](https://www.anchorterminal.com/compare/atlan-vs-procore-ai-go.md)\n- [Cohere North vs Gemini Enterprise](https://www.anchorterminal.com/compare/cohere-north-vs-gemini-enterprise.md)\n- [Cohere North vs Procore AI Go](https://www.anchorterminal.com/compare/cohere-north-vs-procore-ai-go.md)\n- [Collibra vs Gemini Enterprise](https://www.anchorterminal.com/compare/collibra-vs-gemini-enterprise.md)\n- [Collibra vs Procore AI Go](https://www.anchorterminal.com/compare/collibra-vs-procore-ai-go.md)\n- [Dust vs Gemini Enterprise](https://www.anchorterminal.com/compare/dust-vs-gemini-enterprise.md)\n- [Dust vs Procore AI Go](https://www.anchorterminal.com/compare/dust-vs-procore-ai-go.md)\n- [Gemini Enterprise vs Glean](https://www.anchorterminal.com/compare/gemini-enterprise-vs-glean.md)\n- [Gemini Enterprise vs Guru](https://www.anchorterminal.com/compare/gemini-enterprise-vs-guru.md)\n- [Gemini Enterprise vs Hexis Cloud](https://www.anchorterminal.com/compare/gemini-enterprise-vs-hexis.md)\n- [Gemini Enterprise vs Onyx](https://www.anchorterminal.com/compare/gemini-enterprise-vs-onyx.md)\n- [Gemini Enterprise vs Overclock](https://www.anchorterminal.com/compare/gemini-enterprise-vs-overclock.md)\n- [Gemini Enterprise vs Secoda](https://www.anchorterminal.com/compare/gemini-enterprise-vs-secoda.md)\n- [Gemini Enterprise vs Lens (Thought Industries)](https://www.anchorterminal.com/compare/gemini-enterprise-vs-thought-industries-lens.md)\n- [Glean vs Procore AI Go](https://www.anchorterminal.com/compare/glean-vs-procore-ai-go.md)\n- [Guru vs Procore AI Go](https://www.anchorterminal.com/compare/guru-vs-procore-ai-go.md)\n- [Hexis Cloud vs Procore AI Go](https://www.anchorterminal.com/compare/hexis-vs-procore-ai-go.md)\n- [Onyx vs Procore AI Go](https://www.anchorterminal.com/compare/onyx-vs-procore-ai-go.md)\n- [Overclock vs Procore AI Go](https://www.anchorterminal.com/compare/overclock-vs-procore-ai-go.md)\n- [Procore AI Go vs Secoda](https://www.anchorterminal.com/compare/procore-ai-go-vs-secoda.md)\n- [Procore AI Go vs Lens (Thought Industries)](https://www.anchorterminal.com/compare/procore-ai-go-vs-thought-industries-lens.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-21", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.6", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Gemini Enterprise vs Procore AI Go", "url": "" } ], "description": "Gemini Enterprise scores 66.4 (B) to Procore AI Go's 24.4 (F) for company knowledge search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Gemini Enterprise B 66.4", "Procore AI Go F 24.4", "scores" ], "h1": "Gemini Enterprise vs Procore AI Go", "image": "https://www.anchorterminal.com/assets/og/compare-gemini-enterprise-vs-procore-ai-go.png", "path": "/compare/gemini-enterprise-vs-procore-ai-go", "published": "2026-10-01", "section": "tools", "title": "Gemini Enterprise vs Procore AI Go for AI agents (2026)", "toc": null, "updated": "2026-10-21", "url": "https://www.anchorterminal.com/compare/gemini-enterprise-vs-procore-ai-go" }, "tokens": { "markdown": 2500, "slim": 730 }, "version": 1 }