{ "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": 56, "grade": "C", "agentReady": false, "rank": 309, "ranked": true, "rankOf": 452, "categoryRank": 7, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 61 }, "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.", "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": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56 } ], "editorialScores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 53 }, "provenanceScore": 68 }, "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": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/enrich-layer.json", "live": { "slug": "enrich-layer", "probe": { "target": "https://enrichlayer.com/api/v2", "method": "get", "lastAt": "2026-10-04T23:32:47.028590301Z", "lastOk": true, "lastStatus": 404, "lastMs": 208, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 232, "p95ms24h": 412, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:00.066104114Z" }, "versions": [ { "registry": "npm", "name": "@enrichlayer/mcp-server", "version": "0.3.0", "seenAt": "2026-10-04T16:26:32.605133107Z" } ], "githubStars": 0, "npmWeekly": 28, "securityTxt": { "url": "https://enrichlayer.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.313180845Z" }, "llmsTxt": { "url": "https://enrichlayer.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:45.113397809Z" }, "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": "2026-10-04T15:46:17.3070239Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "22a06342f70c" }, { "url": "https://enrichlayer.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:44:30.538712762Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "853a126d8a25" }, { "url": "https://enrichlayer.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:44:32.826060616Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fa71969716ac" }, { "url": "https://enrichlayer.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:44:34.873549699Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9f3c494aa3cb" } ], "updatedAt": "2026-10-04T23:32:47.028590301Z" } }, "b": { "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": 59.8, "grade": "C", "agentReady": false, "rank": 258, "ranked": true, "rankOf": 452, "categoryRank": 5, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 66 }, "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.", "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": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.8 } ], "editorialScores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 50 }, "provenanceScore": 82 }, "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": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json", "live": { "slug": "fullenrich", "probe": { "target": "https://app.fullenrich.com/api/v2", "method": "get", "lastAt": "2026-10-04T23:32:47.687113929Z", "lastOk": true, "lastStatus": 404, "lastMs": 62, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 65, "p95ms24h": 129, "samples24h": 272, "samples30d": 1097, "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": 267, "ok": 267 } ] }, "vendorStatus": { "page": "https://status.fullenrich.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-04T21:40:04.221357183Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.FullEnrich/fullenrich", "version": "1.0.4", "seenAt": "2026-10-03T23:29:28.630222764Z" } ], "securityTxt": { "url": "https://fullenrich.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:46.47802601Z" }, "llmsTxt": { "url": "https://docs.fullenrich.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:47.943986524Z" }, "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": "2026-10-04T15:44:49.813870867Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3743ba5a6ed1" }, { "url": "https://fullenrich.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:44:52.68235555Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8d24d5b37df7" }, { "url": "https://fullenrich.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:44:54.222892437Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "330785f6c5eb" }, { "url": "https://fullenrich.com/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:44:56.395982254Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "09e6f975476f" } ], "updatedAt": "2026-10-04T23:32:47.687113929Z" } }, "summary": "FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance \u0026 community, 42 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich", "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md", "slim": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.min.md" }, "markdown": "FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance \u0026 community, 42 points.\n\n- Enrich Layer API + MCP: grade C, 56/100, rank #309 of 452. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n- FullEnrich API + MCP: grade C, 59.8/100, rank #258 of 452. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json\n\n## Which one, for what\n\nPick Enrich Layer API + MCP for reliability (+5), agent ergonomics (+8).\n\nPick FullEnrich API + MCP for security \u0026 auth (+15), maintenance \u0026 community (+42), transparency \u0026 trust (+5).\n\n## Score by category\n\n| Category | Weight | Enrich Layer API + MCP | FullEnrich API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 60 | Enrich Layer API + MCP +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 72 | Enrich Layer API + MCP +4 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 60 | Enrich Layer API + MCP +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 55 | FullEnrich API + MCP +15 |\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 | 68 | FullEnrich API + MCP +42 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 61 | 66 | FullEnrich API + MCP +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **56 · C** | **59.8 · C** | |\n\n## Facts side by side\n\n| Fact | Enrich Layer API + MCP | FullEnrich API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Enrich Layer | FullEnrich |\n| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://app.fullenrich.com/api/v2` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT | none |\n| Tools exposed | 25 | 13 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | `io.github.FullEnrich/fullenrich` |\n| Last release | 2026-06-19 | 2026-08-27 |\n| Popularity | 0 stars, 26 npm/wk | none |\n| Agent reviews | 3/5 (2) | 3.5/5 (2) |\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**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## 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### 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## Other comparisons with Enrich Layer API + MCP or FullEnrich 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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.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 Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.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 Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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 FullEnrich API + MCP", "url": "" } ], "description": "FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance \u0026 community, 42 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Enrich Layer API + MCP C 56", "FullEnrich API + MCP C 59.8", "scores" ], "h1": "Enrich Layer API + MCP vs FullEnrich API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-enrich-layer-vs-fullenrich.png", "path": "/compare/enrich-layer-vs-fullenrich", "published": "2026-10-01", "section": "tools", "title": "Enrich Layer API + MCP vs FullEnrich API + MCP for AI agents", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich" }, "tokens": { "markdown": 1600, "slim": 380 }, "version": 1 }