{ "data": { "a": { "slug": "enrich-layer", "name": "Enrich Layer API + MCP", "vendor": "Enrich Layer", "vendorUrl": "https://enrichlayer.com", "kind": "http-api", "category": "lead-data", "summary": "Professional profile, company, job, school and contact lookups with person and company search, built on the old Proxycurl endpoint set after Proxycurl shut down in July 2025.", "url": "https://www.anchorterminal.com/tools/enrich-layer", "markdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/enrich-layer.json", "repo": "https://github.com/enrichlayer/mcp-server", "license": "MIT", "transports": [ "http", "stdio" ], "remoteUrl": "https://enrichlayer.com/api/v2", "packages": [ { "registry": "npm", "name": "@enrichlayer/mcp-server" } ], "auth": "api-key", "authNotes": "Bearer API key in the Authorization header, one secret key per user from the dashboard. The MCP server reads ENRICH_LAYER_API_KEY from the environment.", "pricing": "usage", "pricingNotes": "500 free credits at sign-up. Pay-as-you-go packs from $10 for 100 credits ($0.10 a credit) to $1,000 for 46,297 ($0.0216), and credits don't expire unless the account is idle for 18 months. Annual plans from Starter at $588 a year (35,000 credits plus 5,000 bonus) to Ultra at $22,788 a year. A person or company profile costs 1 credit, a work email 3, person search 3 per result, and premium fields and live fetches add more (https://enrichlayer.com/pricing).", "priceSummary": "$0.10 / credit", "where": "both", "x402": { "level": "no", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 0, "npmWeekly": 26, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://enrichlayer.com/docs", "llmsTxt": "https://enrichlayer.com/llms.txt", "openapi": "https://enrichlayer.com/docs/api/v2/openapi.yaml", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "typescript", "lead-search", "enrichment" ], "lastRelease": "2026-06-19", "graded": true, "anchor": { "graded": true, "score": 55.8, "grade": "C", "agentReady": false, "rank": 582, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.", "bestFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "strengths": [ "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months", "500 free credits with no card, per the 30 September check", "OpenAPI 3.0 spec, and MCP tool schemas checked against it in CI", "All 25 MCP tools carry readOnlyHint", "Status page with a component per API group" ], "weaknesses": [ "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses", "Trial accounts limited to 2 requests a minute until the first top-up", "No security.txt, disclosure policy, bug bounty or certification", "No public changelog, and no MCP release since June 2026", "Privacy policy lists data brokers among sources and gives no retention periods" ], "agentNotes": [ "Top up once before testing. Trial keys run at 2 requests a minute", "Set the person profile timeout to at least 100 seconds", "Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits", "Use `callback_url` on slow lookups such as work email instead of holding the connection", "Map old Proxycurl paths with the transition guide rather than guessing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.8 } ], "editorialScores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 53 }, "provenanceScore": 63 }, "connect": { "http": "curl -G https://enrichlayer.com/api/v2/credit-balance -H \"Authorization: Bearer $ENRICH_LAYER_API_KEY\"", "claudeCode": "claude mcp add enrich-layer -e ENRICH_LAYER_API_KEY=$ENRICH_LAYER_API_KEY -- npx -y @enrichlayer/mcp-server", "config": { "mcpServers": { "enrich-layer": { "args": [ "-y", "@enrichlayer/mcp-server" ], "command": "npx", "env": { "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/enrich-layer" }, "area": "web-data", "unitPrices": [ { "item": "Credit, $10 pack", "unit": "credit", "usd": 0.1, "note": "100 credits; one credit buys a person or company profile" }, { "item": "Credit, $1,000 pack", "unit": "credit", "usd": 0.0216, "note": "46,297 credits" }, { "item": "Starter plan", "unit": "month", "usd": 49, "note": "billed yearly at $588, 35,000 credits a year plus 5,000 bonus" }, { "item": "Growth plan", "unit": "month", "usd": 299, "note": "billed yearly at $3,588, 350,000 credits a year plus 50,000 bonus" } ], "provenance": { "legalEntity": "Vertical Int, Inc.", "domain": "enrichlayer.com", "domainRegistered": "2025-04-05", "endpointOnVendorDomain": true, "terms": "https://enrichlayer.com/terms-of-use", "privacy": "https://enrichlayer.com/privacy-policy", "statusPage": "https://status.enrichlayer.com", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Domain registered in April 2025, three months before Proxycurl shut down. The terms name Vertical Int, Inc. (Wyoming) with an address in Orinda, California, and don't mention Nubela or Proxycurl." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/enrich-layer.json", "live": { "slug": "enrich-layer", "probe": { "target": "https://enrichlayer.com/api/v2", "method": "get", "lastAt": "2026-10-09T11:46:27.843040137Z", "lastOk": true, "lastStatus": 404, "lastMs": 246, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 417, "p95ms24h": 498, "samples24h": 259, "samples30d": 2311, "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": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:52.979638681Z" }, "versions": [ { "registry": "npm", "name": "@enrichlayer/mcp-server", "version": "0.3.0", "seenAt": "2026-10-08T16:10:44.939141498Z" } ], "githubStars": 0, "npmWeekly": 34, "securityTxt": { "url": "https://enrichlayer.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:54.745465205Z" }, "llmsTxt": { "url": "https://enrichlayer.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:23.101849706Z" }, "domain": { "domain": "enrichlayer.com", "registered": "2025-04-05", "source": "https://rdap.verisign.com/com/v1/domain/enrichlayer.com", "checkedAt": "2026-10-04T13:09:29.714451174Z" }, "pages": [ { "url": "https://nubela.co/blog/goodbye-proxycurl/", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:22:26.681352677Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "22a06342f70c" }, { "url": "https://enrichlayer.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:20:08.620589162Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "853a126d8a25" }, { "url": "https://enrichlayer.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:11.087205239Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fa71969716ac" }, { "url": "https://enrichlayer.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:12.936210242Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9f3c494aa3cb" } ], "updatedAt": "2026-10-09T11:46:27.843040137Z" } }, "answer": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories.", "b": { "slug": "zoominfo", "name": "ZoomInfo API + MCP", "vendor": "ZoomInfo Technologies LLC", "vendorUrl": "https://www.zoominfo.com", "kind": "http-api", "category": "lead-data", "summary": "ZoomInfo sells B2B company, contact and buying-signal data. Agents search and enrich records through a REST API with OAuth 2.0, a hosted MCP server and the GTM CLI, all drawing on one credit pool.", "url": "https://www.anchorterminal.com/tools/zoominfo", "markdownUrl": "https://www.anchorterminal.com/tools/zoominfo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/zoominfo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/zoominfo.json", "repo": "https://github.com/Zoominfo/gtm-ai-cli", "license": "Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.zoominfo.com/gtm", "packages": [ { "registry": "npm", "name": "@zoominfo/gtm-ai-cli" } ], "auth": "oauth", "authNotes": "OAuth 2.0 only, with no static API key. A person creates an app in the Developer tab of GTM.ai (self-serve) or the ZoomInfo Developer Portal (Enterprise) and picks from 20 scopes such as `api:data:contact` and `api:audience:manage`. The authorisation code grant with PKCE acts for a signed-in user. The client credentials grant at `https://api.zoominfo.com/gtm/oauth/v1/token` runs as a named integration user, and the sample token lasts 1,000 seconds. The MCP server at `https://mcp.zoominfo.com/mcp` takes OAuth sign-in in a browser, and clients register themselves. Partner apps for other organisations need membership of the partner programme and a review. Admins switch API access on or off per user.", "pricing": "freemium", "pricingNotes": "Free account at gtm.ai with 1,000 data credits and 1,000 AI credits, no card, covering the API, MCP server and CLI at 5 requests a second and 5 apps. After that, pay-as-you-go top-ups from $20 with no contract or seat fee. One data credit buys one newly enriched company, contact or intent record, shown at $0.38 a credit on the $1,000 spend tier, with volume discounts. AI credits are a flat $0.05 each, and an account or contact research call uses about 5 to 15. Search, lookup and similar-record calls are free. Enterprise packages are priced by sales (https://gtm.ai/pricing).", "priceSummary": "$0.38 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the API docs, the OpenAPI files, the MCP docs or the pricing page (checked 2026-10-09).", "endpoints": [] }, "toolCount": 26, "popularity": { "githubStars": null, "npmWeekly": 534, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.gtm.ai/docs/overview", "llmsTxt": "https://docs.gtm.ai/llms.txt", "openapi": "https://docs.gtm.ai/openapi/openapi-data-v1.yaml", "capabilities": [ "lead.search", "lead.enrichment", "data.company", "data.person" ], "tags": [ "hosted", "freemium", "mcp", "oauth", "openapi", "llms-txt", "cli", "closed-source", "enterprise", "lead-search", "enrichment", "intent-data", "status-page", "soc2" ], "lastRelease": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 72.2, "grade": "BB", "agentReady": true, "rank": 106, "ranked": true, "rankOf": 842, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 71, "maintenance": 76, "payments": 40, "reliability": 87, "schema": 84, "security": 65, "transparency": 75 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "Search, lookup and similar-record calls cost no credits, and a free account with 1,000 data and 1,000 AI credits needs no card. OAuth carries 20 scopes and limits are published per package. The Licence Terms and Conditions bar disclosing benchmark results, and the two documentation sites disagree on batch sizes and rate-limit headers.", "bestFor": "Sales and marketing agents that need company, contact, intent and business-event data from one vendor, with free search before paid enrichment.", "strengths": [ "Free account with 1,000 data credits and 1,000 AI credits, no card, covering the API, MCP server and CLI", "Search, Lookup, Find Similar and Find Recommended Contacts consume no credits. Credits apply to enrichment and AI research", "OAuth 2.0 with PKCE or client credentials and 20 scopes, with read and manage scopes separated", "Rate limits published per package, with `Retry-After` and `X-RateLimit-Rejected-Bucket` on 429. Rejected requests do not consume quota", "Eight public OpenAPI files, `llms.txt` and Markdown twins on both documentation sites" ], "weaknesses": [ "The Licence Terms and Conditions bar disclosing benchmark results and automated access outside ZoomInfo's own tools without written approval", "The documentation disagrees with itself. One page says rate-limit headers are not returned, another lists them. Enrichment batches are 25 on one site and 10 on the other", "No idempotency keys found, and ZoomInfo shows no cost preview before a paid MCP call", "No official SDKs. The docs direct developers to generate a client from the OpenAPI file", "Records Under Management, which makes repeat enrichment free for 12 months, does not apply to the free tier per the pricing page" ], "agentNotes": [ "Call Lookup first and pass the returned IDs to Search. Unknown industry, metro or topic strings are rejected with a 422", "Search before Enrich. Search is free, and each newly enriched record costs one data credit", "Request only the scopes the task needs in the `scope` parameter of the token call. Omitting it grants every scope configured on the app", "On 429 read `X-RateLimit-Rejected-Bucket` and wait for `Retry-After`. An exhausted hourly window can mean a wait of several hundred seconds", "Turn off model training in the AI client before connecting the MCP server. ZoomInfo prohibits MCP data being used for training" ], "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": 72.2 } ], "editorialScores": { "ergonomics": 71, "maintenance": 76, "payments": 40, "reliability": 87, "schema": 84, "security": 65, "transparency": 65 }, "provenanceScore": 85 }, "connect": { "install": "npm install -g @zoominfo/gtm-ai-cli", "http": "curl -X POST https://api.zoominfo.com/gtm/oauth/v1/token -u \"$ZOOMINFO_CLIENT_ID:$ZOOMINFO_CLIENT_SECRET\" -H \"Content-Type: application/x-www-form-urlencoded\" -H \"Accept: application/json\" -d \"grant_type=client_credentials\"", "claudeCode": "claude mcp add --transport http zoominfo https://mcp.zoominfo.com/mcp", "config": { "mcpServers": { "zoominfo": { "url": "https://mcp.zoominfo.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/zoominfo" }, "area": "web-data", "unitPrices": [ { "item": "Data credit", "unit": "credit", "usd": 0.38, "note": "One newly enriched company, contact or intent record, at the $1,000 spend tier. Volume discounts apply" }, { "item": "AI credit", "unit": "credit", "usd": 0.05, "note": "Flat rate. Account or contact research usually uses 5 to 15 credits a call" } ], "provenance": { "legalEntity": "ZoomInfo Technologies LLC", "domain": "zoominfo.com", "domainRegistered": "2003-10-16", "endpointOnVendorDomain": true, "terms": "https://www.zoominfo.com/legal/ltc", "privacy": "https://www.zoominfo.com/legal/privacy-policy", "statusPage": "https://status.zoominfo.com", "changelog": "https://gtm.ai/releases", "securityTxt": "unknown", "checked": "2026-10-09", "notes": [ "The Licence Terms and Conditions (version 1 May 2025) name ZoomInfo Technologies LLC, a Delaware limited liability company, as the contracting entity outside the UK, Switzerland and the EEA. They govern services under an ordering document. Which terms a free GTM.ai signup accepts was not established, and the gtm.ai footer links only the website terms of use.", "The privacy policy (updated 13 October 2025, effective 20 October 2025) covers both the people in ZoomInfo's database and customers of the service, and gives 330 W Columbia Way, Floor 8, Vancouver, WA 98660 as the address.", "The API answers at api.zoominfo.com and the MCP server at mcp.zoominfo.com. The developer docs and self-serve signup are on gtm.ai and docs.gtm.ai, a second domain of the vendor's.", "https://www.zoominfo.com/.well-known/security.txt answered HTTP 500 on 2026-10-09, and https://gtm.ai/.well-known/security.txt answered 404.", "RDAP for zoominfo.com gives a registration date of 2003-10-16.", "An Artificial Intelligence Acceptable Use Policy (version 9 April 2026) supplements the terms and bars giving ZoomInfo data to external AI systems that may train on it." ], "score": 85 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/zoominfo.json", "live": { "slug": "zoominfo", "probe": { "target": "https://api.zoominfo.com/gtm", "method": "get", "lastAt": "2026-10-09T11:46:47.518648065Z", "lastOk": true, "lastStatus": 404, "lastMs": 156, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 154, "p95ms24h": 241, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "vendorStatus": { "page": "https://status.zoominfo.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:41:22.281884906Z" }, "updatedAt": "2026-10-09T11:46:47.518648065Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Enrich Layer", "b": "ZoomInfo Technologies LLC", "name": "Vendor" }, { "a": "https://enrichlayer.com/api/v2", "b": "https://api.zoominfo.com/gtm", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT", "name": "Licence" }, { "a": "25", "b": "26", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-06-19", "b": "2026-10-02", "name": "Last release" }, { "a": "2025-06-09", "b": "no date given", "name": "Terms last updated" }, { "a": "2025-06-09", "b": "2025-10-13", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "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": "yes", "name": "Arbitration or class-action waiver" }, { "a": "0 stars, 26 npm/wk", "b": "534 npm/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Enrich Layer API + MCP or ZoomInfo API + MCP?" }, { "answer": "Enrich Layer API + MCP needs an API key. ZoomInfo API + MCP uses an OAuth sign-in.", "question": "Do Enrich Layer API + MCP and ZoomInfo API + MCP need an API key?" }, { "answer": "Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and ZoomInfo API + MCP at https://api.zoominfo.com/gtm.", "question": "Can an agent call Enrich Layer API + MCP and ZoomInfo API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Runs on your own machine", "Free to start without a card" ], "goodFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "slug": "enrich-layer", "watchFor": "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses" }, { "aheadOn": [ "Reliability, 87 against 65", "Schema \u0026 documentation, 84 against 76", "Security \u0026 auth, 65 against 40", "Maintenance \u0026 community, 76 against 26", "Transparency \u0026 trust, 75 against 58" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Sales and marketing agents that need company, contact, intent and business-event data from one vendor, with free search before paid enrichment.", "slug": "zoominfo", "watchFor": "The Licence Terms and Conditions bar disclosing benchmark results and automated access outside ZoomInfo's own tools without written approval" } ], "job": { "capability": "lead.search", "name": "Lead search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.json", "title": "Apollo API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo.json", "title": "Apollo API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer.json", "title": "Coresignal API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/coresignal-vs-zoominfo.json", "title": "Coresignal API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-enrich-layer.json", "title": "Crustdata API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/crustdata-vs-zoominfo.json", "title": "Crustdata API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.json", "title": "Enrich Layer API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.json", "title": "Enrich Layer API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json", "title": "Enrich Layer API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-hunter.json", "title": "Enrich Layer API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.json", "title": "Enrich Layer API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.json", "title": "Enrich Layer API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.json", "title": "Enrich Layer API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.json", "title": "Enrich Layer API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.json", "title": "FullEnrich API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo.json", "title": "Fuse MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo.json", "title": "Gojiberry vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/hunter-vs-zoominfo.json", "title": "Hunter API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/hunter-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/leadmagic-vs-zoominfo.json", "title": "LeadMagic API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/leadmagic-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/lusha-vs-zoominfo.json", "title": "Lusha API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/lusha-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.json", "title": "People Data Labs vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/prospeo-vs-zoominfo.json", "title": "Prospeo API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/prospeo-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.json", "title": "Dropcontact API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-zoominfo.json", "title": "Dropcontact API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-zoominfo" } ], "scores": [ { "by": 22, "edge": "zoominfo", "enrich-layer": 65, "key": "reliability", "name": "Reliability", "weight": 16, "zoominfo": 87 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "edge": "zoominfo", "enrich-layer": 76, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "zoominfo": 84 }, { "by": 3, "edge": "zoominfo", "enrich-layer": 68, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "zoominfo": 71 }, { "by": 25, "edge": "zoominfo", "enrich-layer": 40, "key": "security", "name": "Security \u0026 auth", "weight": 14, "zoominfo": 65 }, { "by": 0, "edge": "", "enrich-layer": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "zoominfo": 40 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 50, "edge": "zoominfo", "enrich-layer": 26, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "zoominfo": 76 }, { "by": 17, "edge": "zoominfo", "enrich-layer": 58, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "zoominfo": 75 } ], "summary": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories. Both do lead search.", "verdicts": { "enrich-layer": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.", "zoominfo": "Search, lookup and similar-record calls cost no credits, and a free account with 1,000 data and 1,000 AI credits needs no card. OAuth carries 20 scopes and limits are published per package. The Licence Terms and Conditions bar disclosing benchmark results, and the two documentation sites disagree on batch sizes and rate-limit headers." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo", "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md", "slim": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.min.md" }, "markdown": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories. Both do lead search.\n\n- Enrich Layer API + MCP: grade C, 55.8/100, rank #582 of 842. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n- ZoomInfo API + MCP: grade BB, 72.2/100, rank #106 of 842. Markdown https://www.anchorterminal.com/tools/zoominfo.md · JSON https://www.anchorterminal.com/api/v1/tools/zoominfo.json\n\n## Which one, for what\n\n### Enrich Layer API + MCP (C)\n\nGood for: Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.\n\nAlso in its favour:\n- Runs on your own machine\n- Free to start without a card\n\nWatch for: Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses\n\n### ZoomInfo API + MCP (BB)\n\nGood for: Sales and marketing agents that need company, contact, intent and business-event data from one vendor, with free search before paid enrichment.\n\nAhead on:\n- Reliability, 87 against 65\n- Schema \u0026 documentation, 84 against 76\n- Security \u0026 auth, 65 against 40\n- Maintenance \u0026 community, 76 against 26\n- Transparency \u0026 trust, 75 against 58\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: The Licence Terms and Conditions bar disclosing benchmark results and automated access outside ZoomInfo's own tools without written approval\n\n\n## Score by category\n\n| Category | Weight | Enrich Layer API + MCP | ZoomInfo API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 87 | ZoomInfo API + MCP +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 84 | ZoomInfo API + MCP +8 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 71 | ZoomInfo API + MCP +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 65 | ZoomInfo API + MCP +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 26 | 76 | ZoomInfo API + MCP +50 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 58 | 75 | ZoomInfo API + MCP +17 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.8 · C** | **72.2 · BB** | |\n\n## Facts side by side\n\n| Fact | Enrich Layer API + MCP | ZoomInfo API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Enrich Layer | ZoomInfo Technologies LLC |\n| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://api.zoominfo.com/gtm` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | API key | OAuth |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT | Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT |\n| Tools exposed | 25 | 26 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-06-19 | 2026-10-02 |\n| Terms last updated | 2025-06-09 | no date given |\n| Privacy policy last updated | 2025-06-09 | 2025-10-13 |\n| Customer content may train models | not found in the text | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | yes |\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 | yes |\n| Popularity | 0 stars, 26 npm/wk | 534 npm/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Enrich Layer API + MCP.** Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.\n\n**ZoomInfo API + MCP.** Search, lookup and similar-record calls cost no credits, and a free account with 1,000 data and 1,000 AI credits needs no card. OAuth carries 20 scopes and limits are published per package. The Licence Terms and Conditions bar disclosing benchmark results, and the two documentation sites disagree on batch sizes and rate-limit headers.\n\n## Before you call either\n\n### Enrich Layer API + MCP\n\n1. Top up once before testing. Trial keys run at 2 requests a minute\n2. Set the person profile timeout to at least 100 seconds\n3. Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits\n4. Use `callback_url` on slow lookups such as work email instead of holding the connection\n5. Map old Proxycurl paths with the transition guide rather than guessing\n\n### ZoomInfo API + MCP\n\n1. Call Lookup first and pass the returned IDs to Search. Unknown industry, metro or topic strings are rejected with a 422\n2. Search before Enrich. Search is free, and each newly enriched record costs one data credit\n3. Request only the scopes the task needs in the `scope` parameter of the token call. Omitting it grants every scope configured on the app\n4. On 429 read `X-RateLimit-Rejected-Bucket` and wait for `Retry-After`. An exhausted hourly window can mean a wait of several hundred seconds\n5. Turn off model training in the AI client before connecting the MCP server. ZoomInfo prohibits MCP data being used for training\n\n## Questions\n\n### Which is better for AI agents, Enrich Layer API + MCP or ZoomInfo API + MCP?\n\nZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories.\n\n### Do Enrich Layer API + MCP and ZoomInfo API + MCP need an API key?\n\nEnrich Layer API + MCP needs an API key. ZoomInfo API + MCP uses an OAuth sign-in.\n\n### Can an agent call Enrich Layer API + MCP and ZoomInfo API + MCP without installing anything?\n\nYes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and ZoomInfo API + MCP at https://api.zoominfo.com/gtm.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"enrich-layer\", \"b\": \"zoominfo\"}`. From a terminal: `anchor compare enrich-layer zoominfo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/enrich-layer.json and https://www.anchorterminal.com/api/v1/tools/zoominfo.json\n\n## Other comparisons with Enrich Layer API + MCP or ZoomInfo API + MCP\n\n- [Apollo API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.md)\n- [Apollo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-zoominfo.md)\n- [Coresignal API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer.md)\n- [Coresignal API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-zoominfo.md)\n- [Crustdata API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-enrich-layer.md)\n- [Crustdata API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-zoominfo.md)\n- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)\n- [Enrich Layer API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.md)\n- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md)\n- [Enrich Layer API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-hunter.md)\n- [Enrich Layer API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.md)\n- [Enrich Layer API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [Enrich Layer API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)\n- [FullEnrich API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.md)\n- [Fuse MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo.md)\n- [Gojiberry vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo.md)\n- [Hunter API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/hunter-vs-zoominfo.md)\n- [LeadMagic API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/leadmagic-vs-zoominfo.md)\n- [Lusha API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/lusha-vs-zoominfo.md)\n- [People Data Labs vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.md)\n- [Prospeo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/prospeo-vs-zoominfo.md)\n- [Dropcontact API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.md)\n- [Dropcontact API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-zoominfo.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": "Enrich Layer API + MCP vs ZoomInfo API + MCP", "url": "" } ], "description": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories. Both do lead search. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Enrich Layer API + MCP C 55.8", "ZoomInfo API + MCP BB 72.2", "scores" ], "h1": "Enrich Layer API + MCP vs ZoomInfo API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-enrich-layer-vs-zoominfo.png", "path": "/compare/enrich-layer-vs-zoominfo", "published": "2026-10-01", "section": "tools", "title": "Enrich Layer API + MCP vs ZoomInfo API + MCP for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo" }, "tokens": { "markdown": 2500, "slim": 730 }, "version": 1 }