{ "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": 501, "ranked": true, "rankOf": 722, "categoryRank": 7, "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": "2026-10-08T19:52:50.264974551Z", "lastOk": true, "lastStatus": 404, "lastMs": 491, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 389, "p95ms24h": 518, "samples24h": 272, "samples30d": 2143, "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": 225, "ok": 225 } ] }, "vendorStatus": { "page": "https://status.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:38:30.525779073Z" }, "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": "2026-10-08T19:52:50.264974551Z" } }, "answer": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability.", "b": { "slug": "gojiberry", "name": "Gojiberry", "vendor": "SUPERFRUITS SAS (Gojiberry AI)", "vendorUrl": "https://gojiberry.ai", "kind": "http-api", "category": "lead-data", "summary": "Gojiberry is a hosted sales tool from SUPERFRUITS SAS in Paris that finds B2B leads from LinkedIn engagement and other intent signals, then runs LinkedIn and email outreach. Agents reach it through a REST API and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/gojiberry", "markdownUrl": "https://www.anchorterminal.com/tools/gojiberry.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gojiberry.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gojiberry.json", "license": "Proprietary service under Gojiberry's General Terms", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://ext.gojiberry.ai", "packages": [], "auth": "mixed", "authNotes": "Bearer API key in the `Authorization` header for both the REST API at https://ext.gojiberry.ai and the MCP server at https://mcp.gojiberry.ai. A person creates the key in the app under Settings, API, and it is shown once. Keys have no scopes. A key that belongs to an organisation owner can act as any member by adding `x-impersonate-user-id`. The MCP server also answers OAuth discovery (authorisation code grant with PKCE, a registration endpoint, scopes `mcp:tools` and `claudeai`), which the help centre doesn't document.", "pricing": "paid", "pricingNotes": "Pro is $99 a month and includes 2 agents, 2 LinkedIn seats, 200 credits a month and API and MCP access. A further outreach agent is $59 a month and a further lead source $29. Custom plans go through sales. A free trial exists, and the help centre says the subscription starts on the saved payment method when it ends. We didn't find the trial length or a dollar price for credit packs (checked 2026-10-08).", "priceSummary": "$99 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the OpenAPI file, the help centre or the pricing section (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://ext.gojiberry.ai/documentation", "openapi": "https://ext.gojiberry.ai/openapi.json", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company" ], "tags": [ "hosted", "paid", "mcp", "openapi", "api-key", "webhooks", "linkedin", "outreach", "intent-signals", "closed-source", "status-page", "eu-hosted" ], "graded": true, "anchor": { "graded": true, "score": 47.9, "grade": "D", "agentReady": false, "rank": 628, "ranked": true, "rankOf": 722, "categoryRank": 12, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 55, "maintenance": 25, "payments": 10, "reliability": 74, "schema": 61, "security": 32, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on.", "bestFor": "A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.", "strengths": [ "Public OpenAPI 3.0 file with 49 operations at ext.gojiberry.ai/openapi.json, readable without an account", "Lead and company search is free and returns masked rows. Revealing a full record costs 0.5 credit", "Failed email and phone enrichments consume no credit, and async enrichment routes return at once for polling", "Rate limit published at 100 requests a minute per API key, with 10 a minute on campaign activation and attachment download", "Sub-processor list names nine vendors with processing locations, and primary hosting is AWS eu-west-3 in Paris" ], "weaknesses": [ "API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`", "LinkedIn's User Agreement (section 8.2) bars scraping profiles and using bots to send messages. Gojiberry's terms leave compliance and account restrictions to the customer", "No changelog, deprecation policy, SLA, security.txt, disclosure policy or certification was found", "Not in the official MCP registry, no official SDKs, and the MCP tool definitions can't be read without a paid account's key", "The trial converts to $99 a month on a saved payment method, and the terms forbid account creation by bots" ], "agentNotes": [ "Send `Authorization: Bearer \u003ckey\u003e` to https://mcp.gojiberry.ai. The value must start with the word Bearer or the connection fails", "Create resources in the order list, source agent, campaign. A source agent with no campaign only finds leads", "Adding a contact to a list enrols it in the linked campaign, which sends LinkedIn or email messages. Ask the user before list writes", "Search with POST /v1/directory/leads/search for free, then reveal only the ids you need at 0.5 credit each, up to 100 a request", "Use the `/enrich/email/async` and `/enrich/phone/async` routes and poll GET /v1/contact/{id}. The synchronous routes can take minutes" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 47.9 } ], "editorialScores": { "ergonomics": 55, "maintenance": 25, "payments": 10, "reliability": 74, "schema": 61, "security": 32, "transparency": 55 }, "provenanceScore": 62 }, "connect": { "http": "curl -H \"Authorization: Bearer YOUR_API_KEY\" https://ext.gojiberry.ai/v1/contact", "claudeCode": "claude mcp add --transport http --header \"Authorization: Bearer YOUR_API_KEY\" Gojiberry https://mcp.gojiberry.ai" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/gojiberry" }, "area": "web-data", "unitPrices": [ { "item": "Pro, 2 agents, 2 LinkedIn seats, 200 credits", "unit": "month", "usd": 99 }, { "item": "Additional AI Outreach Agent", "unit": "month", "usd": 59 }, { "item": "Additional lead source", "unit": "month", "usd": 29 } ], "provenance": { "legalEntity": "SUPERFRUITS SAS", "domain": "gojiberry.ai", "domainRegistered": "2025-02-21", "endpointOnVendorDomain": true, "terms": "https://gojiberry.ai/general-terms", "privacy": "https://gojiberry.ai/privacy-policy", "statusPage": "https://status.gojiberry.ai", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The General Terms (last updated 14 October 2025) and the legal notice name SUPERFRUITS, a French SAS at 60 rue François 1er, 75008 Paris, company number 988 586 111 R.C.S. Paris.", "RDAP for gojiberry.ai gives a registration date of 2025-02-21.", "gojiberry.ai/.well-known/security.txt and mcp.gojiberry.ai/.well-known/security.txt return 404. app.gojiberry.ai answers that path with the web app's HTML.", "gojiberry.ai/changelog returns 404, and we found no changelog in the help centre or the site map.", "The REST API answers at ext.gojiberry.ai and the MCP server at mcp.gojiberry.ai, both gojiberry.ai subdomains." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gojiberry.json", "live": { "slug": "gojiberry", "probe": { "target": "https://ext.gojiberry.ai", "method": "get", "lastAt": "2026-10-08T19:52:51.696039696Z", "lastOk": true, "lastStatus": 200, "lastMs": 47, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 60, "p95ms24h": 137, "samples24h": 50, "samples30d": 50, "days": [ { "date": "2026-10-08", "probes": 50, "ok": 50 } ] }, "vendorStatus": { "page": "https://status.gojiberry.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-08T19:38:37.355977436Z" }, "securityTxt": { "url": "https://gojiberry.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:44.042788264Z" }, "pages": [ { "url": "https://gojiberry.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:43.252320769Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "b089c78ab523" }, { "url": "https://gojiberry.ai/general-terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:41.164006243Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c6c92530ec29" } ], "updatedAt": "2026-10-08T19:52:51.696039696Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Enrich Layer", "b": "SUPERFRUITS SAS (Gojiberry AI)", "name": "Vendor" }, { "a": "https://enrichlayer.com/api/v2", "b": "https://ext.gojiberry.ai", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under Gojiberry's General Terms", "name": "Licence" }, { "a": "25", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-06-19", "b": "none", "name": "Last release" }, { "a": "2025-06-09", "b": "no date given", "name": "Terms last updated" }, { "a": "2025-06-09", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "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": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "0 stars, 26 npm/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability.", "question": "Which is better for AI agents, Enrich Layer API + MCP or Gojiberry?" }, { "answer": "Enrich Layer API + MCP needs an API key. Gojiberry takes an API key or an OAuth sign-in.", "question": "Do Enrich Layer API + MCP and Gojiberry need an API key?" }, { "answer": "Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Gojiberry at https://ext.gojiberry.ai.", "question": "Can an agent call Enrich Layer API + MCP and Gojiberry without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 76 against 61", "Agent ergonomics, 68 against 55", "Security \u0026 auth, 40 against 32", "Payments \u0026 pricing, 40 against 10" ], "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, 74 against 65" ], "also": null, "goodFor": "A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.", "slug": "gojiberry", "watchFor": "API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`" } ], "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-gojiberry.json", "title": "Apollo API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry" }, { "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-gojiberry.json", "title": "Coresignal API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/coresignal-vs-gojiberry" }, { "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-gojiberry.json", "title": "Crustdata API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/crustdata-vs-gojiberry" }, { "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-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-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-gojiberry.json", "title": "FullEnrich API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry.json", "title": "Fuse MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-hunter.json", "title": "Gojiberry vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic.json", "title": "Gojiberry vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-lusha.json", "title": "Gojiberry vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-prospeo.json", "title": "Gojiberry vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-prospeo" }, { "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-gojiberry.json", "title": "Dropcontact API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-gojiberry" } ], "scores": [ { "by": 9, "edge": "gojiberry", "enrich-layer": 65, "gojiberry": 74, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 15, "edge": "enrich-layer", "enrich-layer": 76, "gojiberry": 61, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 13, "edge": "enrich-layer", "enrich-layer": 68, "gojiberry": 55, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 8, "edge": "enrich-layer", "enrich-layer": 40, "gojiberry": 32, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 30, "edge": "enrich-layer", "enrich-layer": 40, "gojiberry": 10, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "enrich-layer", "enrich-layer": 26, "gojiberry": 25, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 1, "edge": "gojiberry", "enrich-layer": 58, "gojiberry": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability. 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.", "gojiberry": "A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry", "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md", "slim": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.min.md" }, "markdown": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability. Both do lead search.\n\n- Enrich Layer API + MCP: grade C, 55.8/100, rank #501 of 722. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n- Gojiberry: grade D, 47.9/100, rank #628 of 722. Markdown https://www.anchorterminal.com/tools/gojiberry.md · JSON https://www.anchorterminal.com/api/v1/tools/gojiberry.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\nAhead on:\n- Schema \u0026 documentation, 76 against 61\n- Agent ergonomics, 68 against 55\n- Security \u0026 auth, 40 against 32\n- Payments \u0026 pricing, 40 against 10\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### Gojiberry (D)\n\nGood for: A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.\n\nAhead on:\n- Reliability, 74 against 65\n\nWatch for: API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`\n\n\n## Score by category\n\n| Category | Weight | Enrich Layer API + MCP | Gojiberry | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 74 | Gojiberry +9 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 61 | Enrich Layer API + MCP +15 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 55 | Enrich Layer API + MCP +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 32 | Enrich Layer API + MCP +8 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 10 | Enrich Layer API + MCP +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 26 | 25 | Enrich Layer API + MCP +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 58 | 59 | Gojiberry +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.8 · C** | **47.9 · D** | |\n\n## Facts side by side\n\n| Fact | Enrich Layer API + MCP | Gojiberry |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Enrich Layer | SUPERFRUITS SAS (Gojiberry AI) |\n| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://ext.gojiberry.ai` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Paid |\n| x402 | no | no |\n| Licence | MIT | Proprietary service under Gojiberry's General Terms |\n| Tools exposed | 25 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-06-19 | none |\n| Terms last updated | 2025-06-09 | no date given |\n| Privacy policy last updated | 2025-06-09 | no date given |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | yes |\n| Arbitration or class-action waiver | not found in the text | not found in the text |\n| Popularity | 0 stars, 26 npm/wk | none |\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**Gojiberry.** A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on.\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### Gojiberry\n\n1. Send `Authorization: Bearer \u003ckey\u003e` to https://mcp.gojiberry.ai. The value must start with the word Bearer or the connection fails\n2. Create resources in the order list, source agent, campaign. A source agent with no campaign only finds leads\n3. Adding a contact to a list enrols it in the linked campaign, which sends LinkedIn or email messages. Ask the user before list writes\n4. Search with POST /v1/directory/leads/search for free, then reveal only the ids you need at 0.5 credit each, up to 100 a request\n5. Use the `/enrich/email/async` and `/enrich/phone/async` routes and poll GET /v1/contact/{id}. The synchronous routes can take minutes\n\n## Questions\n\n### Which is better for AI agents, Enrich Layer API + MCP or Gojiberry?\n\nEnrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability.\n\n### Do Enrich Layer API + MCP and Gojiberry need an API key?\n\nEnrich Layer API + MCP needs an API key. Gojiberry takes an API key or an OAuth sign-in.\n\n### Can an agent call Enrich Layer API + MCP and Gojiberry without installing anything?\n\nYes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Gojiberry at https://ext.gojiberry.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json, and with the fewest tokens: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"enrich-layer\", \"b\": \"gojiberry\"}`. From a terminal: `anchor compare enrich-layer gojiberry`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/enrich-layer.json and https://www.anchorterminal.com/api/v1/tools/gojiberry.json\n\n## Other comparisons with Enrich Layer API + MCP or Gojiberry\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 Gojiberry](https://www.anchorterminal.com/compare/apollo-vs-gojiberry.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 Gojiberry](https://www.anchorterminal.com/compare/coresignal-vs-gojiberry.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 Gojiberry](https://www.anchorterminal.com/compare/crustdata-vs-gojiberry.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 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 Gojiberry](https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.md)\n- [Fuse MCP vs Gojiberry](https://www.anchorterminal.com/compare/fuse-mcp-vs-gojiberry.md)\n- [Gojiberry vs Hunter API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-hunter.md)\n- [Gojiberry vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-leadmagic.md)\n- [Gojiberry vs Lusha API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-lusha.md)\n- [Gojiberry vs Prospeo API + MCP](https://www.anchorterminal.com/compare/gojiberry-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 Gojiberry](https://www.anchorterminal.com/compare/dropcontact-vs-gojiberry.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "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 Gojiberry", "url": "" } ], "description": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability. Both do lead search. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Enrich Layer API + MCP C 55.8", "Gojiberry D 47.9", "scores" ], "h1": "Enrich Layer API + MCP vs Gojiberry", "image": "https://www.anchorterminal.com/assets/og/compare-enrich-layer-vs-gojiberry.png", "path": "/compare/enrich-layer-vs-gojiberry", "published": "2026-10-01", "section": "tools", "title": "Enrich Layer API + MCP vs Gojiberry for AI agents, C 55.8 vs D 47.9", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry" }, "tokens": { "markdown": 2300, "slim": 630 }, "version": 1 }