{ "data": { "a": { "slug": "fullenrich", "name": "FullEnrich API + MCP", "vendor": "FullEnrich", "vendorUrl": "https://fullenrich.com", "kind": "http-api", "category": "lead-data", "summary": "Waterfall contact enrichment that queries 20+ data providers for work emails, personal emails and mobile numbers, plus people and company search and reverse email lookup.", "url": "https://www.anchorterminal.com/tools/fullenrich", "markdownUrl": "https://www.anchorterminal.com/tools/fullenrich.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fullenrich.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fullenrich.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://app.fullenrich.com/api/v2", "packages": [], "auth": "mixed", "authNotes": "Bearer API key in the Authorization header for REST. The hosted MCP server at https://mcp.fullenrich.com/mcp signs in with your FullEnrich account over OAuth. Webhooks carry an X-Signature-SHA1 header, an HMAC-SHA1 of the raw body keyed with your API key.", "pricing": "freemium", "pricingNotes": "Free trial with 50 credits and no card. Pro from $55 a month for 1,000 credits (about $0.055 a credit), scaling to $720 a month for 15,000 credits, with cheaper annual billing and Enterprise on quote. Credits are spent only on found data. A work email costs 1 credit, a personal email 3, a mobile number 10, a reverse email match 1, and each search result 0.25 (free to export again). Unused credits roll over for 3 months on monthly plans and 12 on annual (https://fullenrich.com/pricing).", "priceSummary": "$55 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 13, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.fullenrich.com", "llmsTxt": "https://docs.fullenrich.com/llms.txt", "openapi": "https://docs.fullenrich.com/api/v2/reference/openapi.yaml", "registryName": "io.github.FullEnrich/fullenrich", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "async-jobs", "closed-source", "lead-search", "enrichment" ], "lastRelease": "2026-08-27", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 491, "ranked": true, "rankOf": 842, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.", "bestFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.", "strengths": [ "Credits only spent on found data, and identical re-runs within 3 months are free", "50 trial credits with no card, API and MCP included", "Hosted MCP with OAuth and 13 tools, listed in the official registry under io.github.FullEnrich", "OpenAPI file and llms.txt", "SOC 2 Type 2 per the trust page" ], "weaknesses": [ "Enrichment sources are third-party providers the vendor doesn't name", "Status page covers the web app only, not the API or MCP", "No 429 or error reference found in the docs", "Public product changelog stops at November 2024", "Webhooks signed with HMAC-SHA1 keyed with the API key itself" ], "agentNotes": [ "Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again", "Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`", "Ask for mobiles only when needed. They cost 10 credits against 1 for a work email", "Call `list_industries` and `list_seniorities` before filtering search", "Use the 0-credit test contacts in the docs to check an integration" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.6 } ], "editorialScores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 50 }, "provenanceScore": 77 }, "connect": { "http": "curl https://app.fullenrich.com/api/v2/account/credits -H \"Authorization: Bearer $FULLENRICH_API_KEY\"", "claudeCode": "claude mcp add --transport http fullenrich https://mcp.fullenrich.com/mcp", "config": { "mcpServers": { "fullenrich": { "url": "https://mcp.fullenrich.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/fullenrich" }, "area": "web-data", "unitPrices": [ { "item": "Pro, 1,000 credits", "unit": "month", "usd": 55 }, { "item": "Pro, 15,000 credits", "unit": "month", "usd": 720 }, { "item": "Credit on Pro 1,000", "unit": "credit", "usd": 0.055, "note": "one found work email; a mobile is 10 credits, a personal email 3, a search result 0.25" } ], "provenance": { "legalEntity": "FullEnrich Corp", "domain": "fullenrich.com", "domainRegistered": "2023-04-08", "endpointOnVendorDomain": true, "terms": "https://fullenrich.com/tos", "privacy": "https://fullenrich.com/privacy-policy", "statusPage": "https://status.fullenrich.com", "changelog": "https://fullenrich.com/changelog", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The public changelog's newest entry is 30 November 2024. The MCP package keeps its own CHANGELOG in github.com/FullEnrich/fullenrich-skills, latest 1.0.4 on 2026-08-27", "The status page has one component, app.fullenrich.com/app, and none for the API" ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json", "live": { "slug": "fullenrich", "probe": { "target": "https://app.fullenrich.com/api/v2", "method": "get", "lastAt": "2026-10-09T10:42:43.755125579Z", "lastOk": true, "lastStatus": 404, "lastMs": 88, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 129, "samples24h": 260, "samples30d": 2300, "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": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.fullenrich.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:57.476748338Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.FullEnrich/fullenrich", "version": "1.0.4", "seenAt": "2026-10-09T02:57:46.004536428Z" } ], "securityTxt": { "url": "https://fullenrich.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:03.745768343Z" }, "llmsTxt": { "url": "https://docs.fullenrich.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:27.12312278Z" }, "domain": { "domain": "fullenrich.com", "registered": "2023-04-08", "source": "https://rdap.verisign.com/com/v1/domain/fullenrich.com", "checkedAt": "2026-10-04T13:08:06.739717008Z" }, "pages": [ { "url": "https://fullenrich.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:20:31.544023287Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3743ba5a6ed1" }, { "url": "https://fullenrich.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:20:34.70236178Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8d24d5b37df7" }, { "url": "https://fullenrich.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:35.863765695Z", "changedAt": "2026-10-08T18:20:35.863765695Z", "fingerprint": "e5ec8a32f619" }, { "url": "https://fullenrich.com/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:37.96787689Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "09e6f975476f" } ], "updatedAt": "2026-10-09T10:42:43.755125579Z" } }, "answer": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (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": "2026-10-09T10:43:03.380139698Z", "lastOk": true, "lastStatus": 404, "lastMs": 209, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 153, "p95ms24h": 240, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.zoominfo.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:42:10.781594752Z" }, "updatedAt": "2026-10-09T10:43:03.380139698Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "FullEnrich", "b": "ZoomInfo Technologies LLC", "name": "Vendor" }, { "a": "https://app.fullenrich.com/api/v2", "b": "https://api.zoominfo.com/gtm", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT", "name": "Licence" }, { "a": "13", "b": "26", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.FullEnrich/fullenrich", "b": "not listed", "name": "MCP registry" }, { "a": "2026-08-27", "b": "2026-10-02", "name": "Last release" }, { "a": "2026-08-20", "b": "no date given", "name": "Terms last updated" }, { "a": "2026-08-20", "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": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "534 npm/wk", "name": "Popularity" }, { "a": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, FullEnrich API + MCP or ZoomInfo API + MCP?" }, { "answer": "FullEnrich API + MCP takes an API key or an OAuth sign-in. ZoomInfo API + MCP uses an OAuth sign-in.", "question": "Do FullEnrich API + MCP and ZoomInfo API + MCP need an API key?" }, { "answer": "Yes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.com/api/v2 and ZoomInfo API + MCP at https://api.zoominfo.com/gtm.", "question": "Can an agent call FullEnrich API + MCP and ZoomInfo API + MCP without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Free to start without a card" ], "goodFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.", "slug": "fullenrich", "watchFor": "Enrichment sources are third-party providers the vendor doesn't name" }, { "aheadOn": [ "Reliability, 87 against 60", "Schema \u0026 documentation, 84 against 72", "Agent ergonomics, 71 against 60", "Security \u0026 auth, 65 against 55", "Maintenance \u0026 community, 76 against 68", "Transparency \u0026 trust, 75 against 64" ], "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-fullenrich.json", "title": "Apollo API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich" }, { "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-fullenrich.json", "title": "Coresignal API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-fullenrich" }, { "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-fullenrich.json", "title": "Crustdata API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-fullenrich" }, { "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-zoominfo.json", "title": "Enrich Layer API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.json", "title": "FullEnrich API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.json", "title": "FullEnrich API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter.json", "title": "FullEnrich API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.json", "title": "FullEnrich API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-lusha.json", "title": "FullEnrich API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.json", "title": "FullEnrich API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.json", "title": "FullEnrich API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-prospeo" }, { "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-fullenrich.json", "title": "Dropcontact API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich" }, { "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": 27, "edge": "zoominfo", "fullenrich": 60, "key": "reliability", "name": "Reliability", "weight": 16, "zoominfo": 87 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 12, "edge": "zoominfo", "fullenrich": 72, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "zoominfo": 84 }, { "by": 11, "edge": "zoominfo", "fullenrich": 60, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "zoominfo": 71 }, { "by": 10, "edge": "zoominfo", "fullenrich": 55, "key": "security", "name": "Security \u0026 auth", "weight": 14, "zoominfo": 65 }, { "by": 0, "edge": "", "fullenrich": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "zoominfo": 40 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 8, "edge": "zoominfo", "fullenrich": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "zoominfo": 76 }, { "by": 11, "edge": "zoominfo", "fullenrich": 64, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "zoominfo": 75 } ], "summary": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 6 of 7 scored categories. Both do lead search.", "verdicts": { "fullenrich": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.", "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/fullenrich-vs-zoominfo", "json": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.md", "slim": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.min.md" }, "markdown": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 6 of 7 scored categories. Both do lead search.\n\n- FullEnrich API + MCP: grade C, 59.6/100, rank #491 of 842. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.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### FullEnrich API + MCP (C)\n\nGood for: Maximising find rate on known contacts, especially mobiles, without a long-term contract.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Enrichment sources are third-party providers the vendor doesn't name\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 60\n- Schema \u0026 documentation, 84 against 72\n- Agent ergonomics, 71 against 60\n- Security \u0026 auth, 65 against 55\n- Maintenance \u0026 community, 76 against 68\n- Transparency \u0026 trust, 75 against 64\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 | FullEnrich API + MCP | ZoomInfo API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 87 | ZoomInfo API + MCP +27 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 72 | 84 | ZoomInfo API + MCP +12 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 71 | ZoomInfo API + MCP +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 65 | ZoomInfo API + MCP +10 |\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) | 68 | 76 | ZoomInfo API + MCP +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 75 | ZoomInfo API + MCP +11 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59.6 · C** | **72.2 · BB** | |\n\n## Facts side by side\n\n| Fact | FullEnrich API + MCP | ZoomInfo API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | FullEnrich | ZoomInfo Technologies LLC |\n| Hosted endpoint | `https://app.fullenrich.com/api/v2` | `https://api.zoominfo.com/gtm` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | none | Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT |\n| Tools exposed | 13 | 26 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.FullEnrich/fullenrich` | not listed |\n| Last release | 2026-08-27 | 2026-10-02 |\n| Terms last updated | 2026-08-20 | no date given |\n| Privacy policy last updated | 2026-08-20 | 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 | yes | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | none | 534 npm/wk |\n| Agent reviews | 3.5/5 (2) | none |\n\n## Verdicts\n\n**FullEnrich API + MCP.** Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.\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### FullEnrich API + MCP\n\n1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again\n2. Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`\n3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email\n4. Call `list_industries` and `list_seniorities` before filtering search\n5. Use the 0-credit test contacts in the docs to check an integration\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, FullEnrich API + MCP or ZoomInfo API + MCP?\n\nZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 6 of 7 scored categories.\n\n### Do FullEnrich API + MCP and ZoomInfo API + MCP need an API key?\n\nFullEnrich API + MCP takes an API key or an OAuth sign-in. ZoomInfo API + MCP uses an OAuth sign-in.\n\n### Can an agent call FullEnrich API + MCP and ZoomInfo API + MCP without installing anything?\n\nYes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.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/fullenrich-vs-zoominfo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fullenrich\", \"b\": \"zoominfo\"}`. From a terminal: `anchor compare fullenrich zoominfo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fullenrich.json and https://www.anchorterminal.com/api/v1/tools/zoominfo.json\n\n## Other comparisons with FullEnrich API + MCP or ZoomInfo API + MCP\n\n- [Apollo API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md)\n- [Apollo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-zoominfo.md)\n- [Coresignal API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.md)\n- [Coresignal API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-zoominfo.md)\n- [Crustdata API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.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 ZoomInfo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md)\n- [FullEnrich API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.md)\n- [FullEnrich API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.md)\n- [FullEnrich API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-hunter.md)\n- [FullEnrich API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.md)\n- [FullEnrich API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md)\n- [FullEnrich API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.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": "FullEnrich API + MCP vs ZoomInfo API + MCP", "url": "" } ], "description": "ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 6 of 7 scored categories. Both do lead search. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "FullEnrich API + MCP C 59.6", "ZoomInfo API + MCP BB 72.2", "scores" ], "h1": "FullEnrich API + MCP vs ZoomInfo API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-fullenrich-vs-zoominfo.png", "path": "/compare/fullenrich-vs-zoominfo", "published": "2026-10-01", "section": "tools", "title": "FullEnrich API + MCP vs ZoomInfo API + MCP for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo" }, "tokens": { "markdown": 2450, "slim": 680 }, "version": 1 }