{ "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": 647, "ranked": true, "rankOf": 950, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.", "bestFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "strengths": [ "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months", "500 free credits with no card, per the 30 September check", "OpenAPI 3.0 spec, and MCP tool schemas checked against it in CI", "All 25 MCP tools carry readOnlyHint", "Status page with a component per API group" ], "weaknesses": [ "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses", "Trial accounts limited to 2 requests a minute until the first top-up", "No security.txt, disclosure policy, bug bounty or certification", "No public changelog, and no MCP release since June 2026", "Privacy policy lists data brokers among sources and gives no retention periods" ], "agentNotes": [ "Top up once before testing. Trial keys run at 2 requests a minute", "Set the person profile timeout to at least 100 seconds", "Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits", "Use `callback_url` on slow lookups such as work email instead of holding the connection", "Map old Proxycurl paths with the transition guide rather than guessing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.8 } ], "editorialScores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 53 }, "provenanceScore": 63 }, "connect": { "http": "curl -G https://enrichlayer.com/api/v2/credit-balance -H \"Authorization: Bearer $ENRICH_LAYER_API_KEY\"", "claudeCode": "claude mcp add enrich-layer -e ENRICH_LAYER_API_KEY=$ENRICH_LAYER_API_KEY -- npx -y @enrichlayer/mcp-server", "config": { "mcpServers": { "enrich-layer": { "args": [ "-y", "@enrichlayer/mcp-server" ], "command": "npx", "env": { "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/enrich-layer" }, "area": "web-data", "unitPrices": [ { "item": "Credit, $10 pack", "unit": "credit", "usd": 0.1, "note": "100 credits; one credit buys a person or company profile" }, { "item": "Credit, $1,000 pack", "unit": "credit", "usd": 0.0216, "note": "46,297 credits" }, { "item": "Starter plan", "unit": "month", "usd": 49, "note": "billed yearly at $588, 35,000 credits a year plus 5,000 bonus" }, { "item": "Growth plan", "unit": "month", "usd": 299, "note": "billed yearly at $3,588, 350,000 credits a year plus 50,000 bonus" } ], "provenance": { "legalEntity": "Vertical Int, Inc.", "domain": "enrichlayer.com", "domainRegistered": "2025-04-05", "endpointOnVendorDomain": true, "terms": "https://enrichlayer.com/terms-of-use", "privacy": "https://enrichlayer.com/privacy-policy", "statusPage": "https://status.enrichlayer.com", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Domain registered in April 2025, three months before Proxycurl shut down. The terms name Vertical Int, Inc. (Wyoming) with an address in Orinda, California, and don't mention Nubela or Proxycurl." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/enrich-layer.json", "live": { "slug": "enrich-layer", "probe": { "target": "https://enrichlayer.com/api/v2", "method": "get", "lastAt": "2026-10-10T02:07:08.071064661Z", "lastOk": true, "lastStatus": 404, "lastMs": 398, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 417, "p95ms24h": 495, "samples24h": 250, "samples30d": 2458, "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": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "vendorStatus": { "page": "https://status.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T00:50:31.326746856Z" }, "versions": [ { "registry": "npm", "name": "@enrichlayer/mcp-server", "version": "0.3.0", "seenAt": "2026-10-09T16:52:04.992359041Z" } ], "githubStars": 0, "npmWeekly": 33, "securityTxt": { "url": "https://enrichlayer.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:39:12.059737417Z" }, "llmsTxt": { "url": "https://enrichlayer.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:01:52.925136603Z" }, "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": "2026-10-09T18:42:32.595256157Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "22a06342f70c" }, { "url": "https://enrichlayer.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-09T18:39:05.806001407Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "853a126d8a25" }, { "url": "https://enrichlayer.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:39:08.048547517Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fa71969716ac" }, { "url": "https://enrichlayer.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:39:10.114739623Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9f3c494aa3cb" } ], "updatedAt": "2026-10-10T02:07:08.071064661Z" } }, "answer": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories.", "b": { "slug": "explorium-agentsource", "name": "Explorium AgentSource", "vendor": "Explorium Ltd.", "vendorUrl": "https://www.explorium.ai", "kind": "http-api", "category": "lead-data", "summary": "Explorium's AgentSource is a B2B data service for matching, searching and enriching companies and prospects, with event signals and AI research tasks. Agents reach it through a REST API (v2) and a hosted MCP server.", "url": "https://www.anchorterminal.com/tools/explorium-agentsource", "markdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json", "repo": "https://github.com/explorium-ai/mcp-explorium", "license": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT", "transports": [ "http", "streamable-http", "sse" ], "remoteUrl": "https://api.explorium.ai", "packages": [], "auth": "api-key", "authNotes": "Self-serve API key from the admin console at admin.explorium.ai, sent in the `api_key` header. The docs say each company gets one key shared by all its users, with no scopes. The MCP v2 guide sends the same key as `Authorization: Bearer`. The older v1 MCP server at `mcp.explorium.ai` uses OAuth. The vendor's `auth.md` says registration needs a person and there is no client-registration endpoint.", "pricing": "usage", "pricingNotes": "One-off credit packs, no subscription. The pricing page lists Lite $29.99 for 500 credits, Starter $149.99 for 5,000, Growth $749.99 for 30,000 and Scale $7,499.99 for 500,000, valid 12 months and non-refundable. A free trial gives 100 credits for 90 days, so an agent's owner can start without a contract. The site's `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 and Growth at 25,000 credits instead. Fetch costs 1 credit a result (2 with the Bombora intent filter), enrichments 1 to 5, and contact enrichment 2 for email or 5 with phone.", "priceSummary": "$0.06 / credit", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file, the pricing files or the terms of use (checked 2026-10-09).", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.explorium.ai", "llmsTxt": "https://developers.explorium.ai/llms.txt", "openapi": "https://developers.explorium.ai/openapi.json", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "mcp", "openapi", "llms-txt", "webhooks", "async-jobs", "credits", "free-trial", "closed-source" ], "lastRelease": "2026-09-02", "graded": true, "anchor": { "graded": true, "score": 48.1, "grade": "D", "agentReady": false, "rank": 821, "ranked": true, "rankOf": 950, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 28, "payments": 40, "reliability": 42, "schema": 76, "security": 37, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": -2, "negativeNotes": [ "On 9 October 2026 the site's machine-readable `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 credits and Growth at 25,000 credits, while the pricing page it names as canonical lists $149.99 for 5,000 and 30,000. The site's `auth.md` and server card also send agents to the MCP server the docs call deprecated. A misleading published claim, 2 points (https://www.explorium.ai/pricing.md, https://www.explorium.ai/pricing/)" ], "verdict": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.", "bestFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.", "strengths": [ "Public OpenAPI 3.1 file covering 74 v2 operations, plus llms.txt and a Markdown twin of every docs page", "Rate limit of 200 queries a minute per key, with `X-RateLimit-*` headers and `Retry-After` on 429", "Credit packs priced in public from $0.015 to $0.06 a credit, and a 100-credit free trial valid 90 days", "Statistics endpoints are free, and the `credit-usage: true` header returns the credits each call spent", "v1 retirement timeline published, with end of support about six months and retirement about twelve months after 2 September 2026" ], "weaknesses": [ "No status page was found, and no SLA is published", "One API key per company, shared by all users, with no scopes or read-only mode", "The site's `pricing.md` and its pricing page give different prices for the Starter and Growth packs", "The terms of use bar benchmarking and automated data collection, and allow service changes without notice", "No dated changelog and no official REST SDK found in the docs index" ], "agentNotes": [ "Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated", "Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`", "Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50", "Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter", "Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request" ], "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": 48.1 } ], "editorialScores": { "ergonomics": 63, "maintenance": 28, "payments": 40, "reliability": 42, "schema": 76, "security": 37, "transparency": 49 }, "provenanceScore": 68 }, "connect": { "http": "curl --request POST --url https://api.explorium.ai/v1/prospects --header 'accept: application/json' --header 'api_key: YOUR_API_KEY' --header 'content-type: application/json' --data '{\"mode\": \"full\", \"page\": 1}'" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/explorium-agentsource" }, "area": "web-data", "unitPrices": [ { "item": "Lite credit pack", "unit": "credit", "usd": 0.06, "note": "$29.99 for 500 credits, valid 12 months" }, { "item": "Starter credit pack", "unit": "credit", "usd": 0.03, "note": "$149.99 for 5,000 credits on the pricing page. The site's pricing.md says $99.99 for 2,500" }, { "item": "Growth credit pack", "unit": "credit", "usd": 0.025, "note": "$749.99 for 30,000 credits on the pricing page. The site's pricing.md says 25,000" }, { "item": "Scale credit pack", "unit": "credit", "usd": 0.015, "note": "$7,499.99 for 500,000 credits" }, { "item": "Fetched business or prospect", "unit": "record", "usd": 0.03, "note": "1 credit a result at the Starter rate, 2 credits with the Bombora intent filter" }, { "item": "Contact enrichment, email and phone", "unit": "record", "usd": 0.15, "note": "5 credits at the Starter rate. Email only is 2 credits" } ], "provenance": { "legalEntity": "Explorium Ltd.", "domain": "explorium.ai", "domainRegistered": "2018-08-16", "endpointOnVendorDomain": true, "terms": "https://www.explorium.ai/explorium-website-terms-of-use/", "privacy": "https://www.explorium.ai/privacy-policy/", "statusPage": "", "changelog": "https://developers.explorium.ai/v2/whats-new", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "The page at /explorium-website-terms-of-use/ is titled Explorium Terms of Use (updated 14 June 2026). It is a contract between Explorium Ltd. and its affiliates and the customer, and covers the Platform, the API and Platform Data, so it governs the product and not only the website.", "The privacy policy (updated 28 June 2026) names Explorium Ltd., 3 Daniel Frisch St., Tel-Aviv, Israel, and covers the Platform and its end users. The terms give a contact address for Explorium Inc., 400 Concar Drive, San Mateo, California.", "www.explorium.ai/.well-known/security.txt returns the site's page-not-found page.", "No status page is linked from the docs or the site files read. status.explorium.ai did not answer our request.", "The changelog link is the v2 change list. No dated changelog was found in the docs index.", "RDAP for explorium.ai gives a registration date of 2018-08-16.", "The API answers at api.explorium.ai and the MCP server at mcp-v2.explorium.ai." ], "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.json", "live": { "slug": "explorium-agentsource", "probe": { "target": "https://api.explorium.ai", "method": "get", "lastAt": "2026-10-10T02:07:08.507066981Z", "lastOk": true, "lastStatus": 401, "lastMs": 152, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 411, "p95ms24h": 1390, "samples24h": 107, "samples30d": 107, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 22, "ok": 22 } ] }, "versions": [ { "registry": "github", "name": "explorium-ai/mcp-explorium", "version": "1.0.0", "released": "2025-09-16", "seenAt": "2026-10-09T16:52:27.476335726Z" } ], "githubStars": 21, "pages": [ { "url": "https://developers.explorium.ai/v2/whats-new", "kind": "changelog", "status": 200, "checkedAt": "2026-10-09T18:35:39.888809319Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "cbf94b2cb520" }, { "url": "https://www.explorium.ai/privacy-policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:50:02.46808686Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a2cefae01442" }, { "url": "https://www.explorium.ai/explorium-website-terms-of-use/", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:49:59.834810876Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0267ad357a07" } ], "updatedAt": "2026-10-10T02:07:08.507066981Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Enrich Layer", "b": "Explorium Ltd.", "name": "Vendor" }, { "a": "https://enrichlayer.com/api/v2", "b": "https://api.explorium.ai", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, Streamable HTTP, SSE (legacy)", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT", "name": "Licence" }, { "a": "25", "b": "11", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-06-19", "b": "2026-09-02", "name": "Last release" }, { "a": "2025-06-09", "b": "2026-06-14", "name": "Terms last updated" }, { "a": "2025-06-09", "b": "2026-06-28", "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": "yes", "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 Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories.", "question": "Which is better for AI agents, Enrich Layer API + MCP or Explorium AgentSource?" }, { "answer": "Both need an API key.", "question": "Do Enrich Layer API + MCP and Explorium AgentSource need an API key?" }, { "answer": "Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Explorium AgentSource at https://api.explorium.ai.", "question": "Can an agent call Enrich Layer API + MCP and Explorium AgentSource without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 65 against 42", "Agent ergonomics, 68 against 63" ], "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": null, "also": null, "goodFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.", "slug": "explorium-agentsource", "watchFor": "No status page was found, and no SLA is published" } ], "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-explorium-agentsource.json", "title": "Apollo API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource" }, { "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-explorium-agentsource.json", "title": "Coresignal API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource" }, { "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-explorium-agentsource.json", "title": "Crustdata API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.json", "title": "Enrich Layer API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.json", "title": "Enrich Layer API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json", "title": "Enrich Layer API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-hunter.json", "title": "Enrich Layer API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.json", "title": "Enrich Layer API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.json", "title": "Enrich Layer API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.json", "title": "Enrich Layer API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.json", "title": "Enrich Layer API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach.json", "title": "Enrich Layer API + MCP vs RocketReach API", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach" }, { "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/explorium-agentsource-vs-fullenrich.json", "title": "Explorium AgentSource vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.json", "title": "Explorium AgentSource vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.json", "title": "Explorium AgentSource vs Gojiberry", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.json", "title": "Explorium AgentSource vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.json", "title": "Explorium AgentSource vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.json", "title": "Explorium AgentSource vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.json", "title": "Explorium AgentSource vs People Data Labs", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.json", "title": "Explorium AgentSource vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.json", "title": "Explorium AgentSource vs RocketReach API", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach" }, { "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.json", "title": "Explorium AgentSource vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.json", "title": "Dropcontact API + MCP vs Enrich Layer API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer" }, { "json": "https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource.json", "title": "Dropcontact API + MCP vs Explorium AgentSource", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource" } ], "scores": [ { "by": 23, "edge": "enrich-layer", "enrich-layer": 65, "explorium-agentsource": 42, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 0, "edge": "", "enrich-layer": 76, "explorium-agentsource": 76, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 5, "edge": "enrich-layer", "enrich-layer": 68, "explorium-agentsource": 63, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 3, "edge": "enrich-layer", "enrich-layer": 40, "explorium-agentsource": 37, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "edge": "", "enrich-layer": 40, "explorium-agentsource": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 2, "edge": "explorium-agentsource", "enrich-layer": 26, "explorium-agentsource": 28, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 1, "edge": "explorium-agentsource", "enrich-layer": 58, "explorium-agentsource": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories. Both do lead search.", "verdicts": { "enrich-layer": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.", "explorium-agentsource": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource", "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.md", "slim": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.min.md" }, "markdown": "Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories. Both do lead search.\n\n- Enrich Layer API + MCP: grade C, 55.8/100, rank #647 of 950. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n- Explorium AgentSource: grade D, 48.1/100, rank #821 of 950. Markdown https://www.anchorterminal.com/tools/explorium-agentsource.md · JSON https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json\n- Best lead, contact and company data APIs for AI agents: https://www.anchorterminal.com/best/lead-data/index.md\n- All 120 leads comparisons: https://www.anchorterminal.com/compare/lead-data/index.md\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- Reliability, 65 against 42\n- Agent ergonomics, 68 against 63\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### Explorium AgentSource (D)\n\nGood for: Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.\n\nWatch for: No status page was found, and no SLA is published\n\n\n## Score by category\n\n| Category | Weight | Enrich Layer API + MCP | Explorium AgentSource | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 42 | Enrich Layer API + MCP +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 76 | even |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 63 | Enrich Layer API + MCP +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 37 | Enrich Layer API + MCP +3 |\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 | 28 | Explorium AgentSource +2 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 58 | 59 | Explorium AgentSource +1 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **55.8 · C** | **48.1 · D** | |\n\n## Facts side by side\n\n| Fact | Enrich Layer API + MCP | Explorium AgentSource |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Enrich Layer | Explorium Ltd. |\n| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://api.explorium.ai` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP, SSE (legacy) |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | MIT | Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT |\n| Tools exposed | 25 | 11 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-06-19 | 2026-09-02 |\n| Terms last updated | 2025-06-09 | 2026-06-14 |\n| Privacy policy last updated | 2025-06-09 | 2026-06-28 |\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 | yes |\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**Explorium AgentSource.** AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.\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### Explorium AgentSource\n\n1. Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated\n2. Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`\n3. Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50\n4. Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter\n5. Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request\n\n## Questions\n\n### Which is better for AI agents, Enrich Layer API + MCP or Explorium AgentSource?\n\nEnrich Layer API + MCP scores 55.8 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 3 of 7 scored categories.\n\n### Do Enrich Layer API + MCP and Explorium AgentSource need an API key?\n\nBoth need an API key.\n\n### Can an agent call Enrich Layer API + MCP and Explorium AgentSource without installing anything?\n\nYes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Explorium AgentSource at https://api.explorium.ai.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.json, and with the fewest tokens: https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"enrich-layer\", \"b\": \"explorium-agentsource\"}`. From a terminal: `anchor compare enrich-layer explorium-agentsource`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/enrich-layer.json and https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json\n\n## Other comparisons with Enrich Layer API + MCP or Explorium AgentSource\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 Explorium AgentSource](https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.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 Explorium AgentSource](https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource.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 Explorium AgentSource](https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource.md)\n- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)\n- [Enrich Layer API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.md)\n- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md)\n- [Enrich Layer API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-hunter.md)\n- [Enrich Layer API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.md)\n- [Enrich Layer API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [Enrich Layer API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)\n- [Enrich Layer API + MCP vs RocketReach API](https://www.anchorterminal.com/compare/enrich-layer-vs-rocketreach.md)\n- [Enrich Layer API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md)\n- [Explorium AgentSource vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.md)\n- [Explorium AgentSource vs Fuse MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.md)\n- [Explorium AgentSource vs Gojiberry](https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.md)\n- [Explorium AgentSource vs Hunter API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.md)\n- [Explorium AgentSource vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.md)\n- [Explorium AgentSource vs Lusha API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.md)\n- [Explorium AgentSource vs People Data Labs](https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.md)\n- [Explorium AgentSource vs Prospeo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.md)\n- [Explorium AgentSource vs RocketReach API](https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.md)\n- [Explorium AgentSource vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.md)\n- [Dropcontact API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.md)\n- [Dropcontact API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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 Explorium AgentSource", "url": "" } ], "description": "Enrich Layer scores 55.8 (C) to Explorium AgentSource's 48.1 (D) for lead search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Enrich Layer API + MCP C 55.8", "Explorium AgentSource D 48.1", "scores" ], "h1": "Enrich Layer API + MCP vs Explorium AgentSource", "image": "https://www.anchorterminal.com/assets/og/compare-enrich-layer-vs-explorium-agentsource.png", "path": "/compare/enrich-layer-vs-explorium-agentsource", "published": "2026-10-01", "section": "tools", "title": "Enrich Layer vs Explorium AgentSource for AI agents (2026)", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource" }, "tokens": { "markdown": 2650, "slim": 630 }, "version": 1 }