{ "data": { "a": { "slug": "enrich-layer", "name": "Enrich Layer API + MCP", "vendor": "Enrich Layer", "vendorUrl": "https://enrichlayer.com", "kind": "http-api", "category": "lead-data", "summary": "Professional profile, company, job, school and contact lookups with person and company search, built on the old Proxycurl endpoint set after Proxycurl shut down in July 2025.", "url": "https://www.anchorterminal.com/tools/enrich-layer", "markdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/enrich-layer.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/enrich-layer.json", "repo": "https://github.com/enrichlayer/mcp-server", "license": "MIT", "transports": [ "http", "stdio" ], "remoteUrl": "https://enrichlayer.com/api/v2", "packages": [ { "registry": "npm", "name": "@enrichlayer/mcp-server" } ], "auth": "api-key", "authNotes": "Bearer API key in the Authorization header, one secret key per user from the dashboard. The MCP server reads ENRICH_LAYER_API_KEY from the environment.", "pricing": "usage", "pricingNotes": "500 free credits at sign-up. Pay-as-you-go packs from $10 for 100 credits ($0.10 a credit) to $1,000 for 46,297 ($0.0216), and credits don't expire unless the account is idle for 18 months. Annual plans from Starter at $588 a year (35,000 credits plus 5,000 bonus) to Ultra at $22,788 a year. A person or company profile costs 1 credit, a work email 3, person search 3 per result, and premium fields and live fetches add more (https://enrichlayer.com/pricing).", "priceSummary": "$0.10 / credit", "where": "both", "x402": { "level": "no", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 0, "npmWeekly": 26, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://enrichlayer.com/docs", "llmsTxt": "https://enrichlayer.com/llms.txt", "openapi": "https://enrichlayer.com/docs/api/v2/openapi.yaml", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "typescript", "lead-search", "enrichment" ], "lastRelease": "2026-06-19", "graded": true, "anchor": { "graded": true, "score": 55.8, "grade": "C", "agentReady": false, "rank": 582, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.", "bestFor": "Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.", "strengths": [ "Pay-as-you-go credits from $10, non-expiring unless idle for 18 months", "500 free credits with no card, per the 30 September check", "OpenAPI 3.0 spec, and MCP tool schemas checked against it in CI", "All 25 MCP tools carry readOnlyHint", "Status page with a component per API group" ], "weaknesses": [ "Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses", "Trial accounts limited to 2 requests a minute until the first top-up", "No security.txt, disclosure policy, bug bounty or certification", "No public changelog, and no MCP release since June 2026", "Privacy policy lists data brokers among sources and gives no retention periods" ], "agentNotes": [ "Top up once before testing. Trial keys run at 2 requests a minute", "Set the person profile timeout to at least 100 seconds", "Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits", "Use `callback_url` on slow lookups such as work email instead of holding the connection", "Map old Proxycurl paths with the transition guide rather than guessing" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.8 } ], "editorialScores": { "ergonomics": 68, "maintenance": 26, "payments": 40, "reliability": 65, "schema": 76, "security": 40, "transparency": 53 }, "provenanceScore": 63 }, "connect": { "http": "curl -G https://enrichlayer.com/api/v2/credit-balance -H \"Authorization: Bearer $ENRICH_LAYER_API_KEY\"", "claudeCode": "claude mcp add enrich-layer -e ENRICH_LAYER_API_KEY=$ENRICH_LAYER_API_KEY -- npx -y @enrichlayer/mcp-server", "config": { "mcpServers": { "enrich-layer": { "args": [ "-y", "@enrichlayer/mcp-server" ], "command": "npx", "env": { "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}" } } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/enrich-layer" }, "area": "web-data", "unitPrices": [ { "item": "Credit, $10 pack", "unit": "credit", "usd": 0.1, "note": "100 credits; one credit buys a person or company profile" }, { "item": "Credit, $1,000 pack", "unit": "credit", "usd": 0.0216, "note": "46,297 credits" }, { "item": "Starter plan", "unit": "month", "usd": 49, "note": "billed yearly at $588, 35,000 credits a year plus 5,000 bonus" }, { "item": "Growth plan", "unit": "month", "usd": 299, "note": "billed yearly at $3,588, 350,000 credits a year plus 50,000 bonus" } ], "provenance": { "legalEntity": "Vertical Int, Inc.", "domain": "enrichlayer.com", "domainRegistered": "2025-04-05", "endpointOnVendorDomain": true, "terms": "https://enrichlayer.com/terms-of-use", "privacy": "https://enrichlayer.com/privacy-policy", "statusPage": "https://status.enrichlayer.com", "changelog": "", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Domain registered in April 2025, three months before Proxycurl shut down. The terms name Vertical Int, Inc. (Wyoming) with an address in Orinda, California, and don't mention Nubela or Proxycurl." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/enrich-layer.json", "live": { "slug": "enrich-layer", "probe": { "target": "https://enrichlayer.com/api/v2", "method": "get", "lastAt": "2026-10-09T11:46:27.843040137Z", "lastOk": true, "lastStatus": 404, "lastMs": 246, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 417, "p95ms24h": 498, "samples24h": 259, "samples30d": 2311, "days": [ { "date": "2026-09-30", "probes": 35, "ok": 35 }, { "date": "2026-10-01", "probes": 276, "ok": 276 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.enrichlayer.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:52.979638681Z" }, "versions": [ { "registry": "npm", "name": "@enrichlayer/mcp-server", "version": "0.3.0", "seenAt": "2026-10-08T16:10:44.939141498Z" } ], "githubStars": 0, "npmWeekly": 34, "securityTxt": { "url": "https://enrichlayer.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:54.745465205Z" }, "llmsTxt": { "url": "https://enrichlayer.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:23.101849706Z" }, "domain": { "domain": "enrichlayer.com", "registered": "2025-04-05", "source": "https://rdap.verisign.com/com/v1/domain/enrichlayer.com", "checkedAt": "2026-10-04T13:09:29.714451174Z" }, "pages": [ { "url": "https://nubela.co/blog/goodbye-proxycurl/", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:22:26.681352677Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "22a06342f70c" }, { "url": "https://enrichlayer.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:20:08.620589162Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "853a126d8a25" }, { "url": "https://enrichlayer.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:11.087205239Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fa71969716ac" }, { "url": "https://enrichlayer.com/terms-of-use", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:12.936210242Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9f3c494aa3cb" } ], "updatedAt": "2026-10-09T11:46:27.843040137Z" } }, "answer": "People Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing.", "b": { "slug": "people-data-labs", "name": "People Data Labs", "vendor": "People Data Labs, Inc.", "vendorUrl": "https://www.peopledatalabs.com", "kind": "http-api", "category": "lead-data", "summary": "People Data Labs sells person, company and job posting data through a REST API. Agents enrich a known person or company, resolve an identity, or search the datasets with Elasticsearch or SQL queries, using an API key.", "url": "https://www.anchorterminal.com/tools/people-data-labs", "markdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/people-data-labs.json", "repo": "https://github.com/peopledatalabs/peopledatalabs-python", "license": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT", "transports": [ "http" ], "remoteUrl": "https://api.peopledatalabs.com/v5", "packages": [ { "registry": "pypi", "name": "peopledatalabs" }, { "registry": "npm", "name": "peopledatalabs" }, { "registry": "go", "name": "github.com/peopledatalabs/peopledatalabs-go" } ], "auth": "api-key", "authNotes": "Self-serve API key from the dashboard after a free signup, sent in the `X-Api-Key` header or as an `api_key` query parameter. Keys have no scopes. A Free account holds 1 active key, Pro 3 and Enterprise 5. Webhooks and data licence deliveries are arranged through sales.", "pricing": "freemium", "pricingNotes": "Free plan with up to 100 records a month and emails, phone numbers and addresses obfuscated. Pro starts at $98 a month for 350 person records or $100 for 1,000 company records, with 20 per cent off on annual terms. Enterprise is priced by sales. One credit per match or per search record returned, and requests without a match are not charged. The sandbox is free. Higher volume steps and field-bundle prices are shown in the dashboard only (https://www.peopledatalabs.com/pricing, https://docs.peopledatalabs.com/docs/create-an-account, checked 2026-10-08).", "priceSummary": "$98 / mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the Services Subscription Agreement (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 40, "npmWeekly": 132937, "pypiWeekly": 29514, "asOf": "2026-10-08" }, "docsUrl": "https://docs.peopledatalabs.com", "llmsTxt": "https://docs.peopledatalabs.com/llms.txt", "capabilities": [ "lead.search", "lead.enrichment", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "api-key", "free-tier", "sandbox", "llms-txt", "python", "javascript", "go", "ruby", "rust", "status-page", "soc2", "closed-source" ], "lastRelease": "2026-09-16", "graded": true, "anchor": { "graded": true, "score": 64.2, "grade": "B", "agentReady": false, "rank": 326, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 79, "payments": 35, "reliability": 78, "schema": 70, "security": 43, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice.", "bestFor": "Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.", "strengths": [ "Credits are charged only on a match (a `200`), and each response reports credits spent and remaining in headers", "Seven sandbox endpoints at `sandbox.api.peopledatalabs.com` return synthetic records at no charge on every plan", "Release notes are dated monthly, the latest on 15 September 2026 (dataset v35.2), with schema changes labelled", "`data_include`, `size` and `scroll_token` let a caller limit fields and page through search results", "The published DPA commits to deletion within 90 days of termination and breach notice within 72 hours" ], "weaknesses": [ "No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings", "API keys have no scopes, and the docs show the key passed as `api_key` in the URL query string", "The Services Subscription Agreement says data and services may be modified without prior notice", "Free-plan records have emails, phone numbers and addresses obfuscated, and person search defaults to 10 requests a minute", "No SLA, security.txt, bug bounty or disclosure policy was found in the reviewed pages" ], "agentNotes": [ "Send the key in the `X-Api-Key` header. The `api_key` query parameter puts the secret in URLs and logs", "Build and test queries against `https://sandbox.api.peopledatalabs.com/v5/...` first. It costs no credits and allows five calls a minute", "Set `size` deliberately on search. Every record returned costs one credit, and responses over 1 MB fail", "Treat `404` on enrichment as no match, not an error, and `402` as credits exhausted. Neither is worth a retry", "On `429`, wait until the `x-ratelimit-reset` time. Limits are fixed-window per key and per endpoint" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 64.2 } ], "editorialScores": { "ergonomics": 77, "maintenance": 79, "payments": 35, "reliability": 78, "schema": 70, "security": 43, "transparency": 53 }, "provenanceScore": 80 }, "connect": { "install": "pip install peopledatalabs", "http": "curl -X GET -G 'https://api.peopledatalabs.com/v5/person/enrich' -H 'X-Api-Key: YOUR API KEY' --data-urlencode 'profile=linkedin.com/in/seanthorne'" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/people-data-labs" }, "area": "web-data", "unitPrices": [ { "item": "Pro plan, person data", "unit": "month", "usd": 98, "note": "350 person records a month, entry step" }, { "item": "Pro plan, company data", "unit": "month", "usd": 100, "note": "1,000 company records a month, entry step" }, { "item": "Person record", "unit": "record", "usd": 0.28, "note": "Derived from $98 for 350 records at the Pro entry step" }, { "item": "Company record", "unit": "record", "usd": 0.1, "note": "Derived from $100 for 1,000 records at the Pro entry step" } ], "provenance": { "legalEntity": "People Data Labs, Inc.", "domain": "peopledatalabs.com", "domainRegistered": "2017-07-16", "endpointOnVendorDomain": true, "terms": "https://privacy.peopledatalabs.com/policies?name=services-subscription-agreement", "privacy": "https://privacy.peopledatalabs.com/policies?name=privacy-policy", "statusPage": "https://status.peopledatalabs.com", "changelog": "https://docs.peopledatalabs.com/links/release-notes", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The Services Subscription Agreement names People Data Labs, Inc., 455 Market St Ste 1940, PMB 25778, San Francisco, CA 94105, and is governed by California law. It applies to accounts opened on peopledatalabs.com as well as order forms.", "The legal pages on privacy.peopledatalabs.com are drawn by script. We read their text from the data file the page itself loads, `/static/privacy.peopledatalabs.com/privacyCenterMessages-en.json`. A plain HTML reader sees only the page title.", "The API answers at api.peopledatalabs.com and the sandbox at sandbox.api.peopledatalabs.com.", "www.peopledatalabs.com/.well-known/security.txt and the same path on the docs host return 404.", "RDAP gives a registration date of 2017-07-16 for peopledatalabs.com.", "The privacy policy says PDL is registered as a data broker in Texas and has certified to the EU-U.S., UK and Swiss-U.S. Data Privacy Frameworks." ], "score": 80 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/people-data-labs.json", "live": { "slug": "people-data-labs", "probe": { "target": "https://api.peopledatalabs.com/v5", "method": "get", "lastAt": "2026-10-09T11:46:36.909299896Z", "lastOk": true, "lastStatus": 404, "lastMs": 590, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 591, "p95ms24h": 643, "samples24h": 44, "samples30d": 44, "days": [ { "date": "2026-10-09", "probes": 44, "ok": 44 } ] }, "vendorStatus": { "page": "https://status.peopledatalabs.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:40:16.332808148Z" }, "updatedAt": "2026-10-09T11:46:36.909299896Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Enrich Layer", "b": "People Data Labs, Inc.", "name": "Vendor" }, { "a": "https://enrichlayer.com/api/v2", "b": "https://api.peopledatalabs.com/v5", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT", "name": "Licence" }, { "a": "25", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-06-19", "b": "2026-09-16", "name": "Last release" }, { "a": "2025-06-09", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2025-06-09", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "0 stars, 26 npm/wk", "b": "40 stars, 133k npm/wk, 30k PyPI/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "People Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing.", "question": "Which is better for AI agents, Enrich Layer API + MCP or People Data Labs?" }, { "answer": "Both need an API key.", "question": "Do Enrich Layer API + MCP and People Data Labs need an API key?" }, { "answer": "Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and People Data Labs at https://api.peopledatalabs.com/v5.", "question": "Can an agent call Enrich Layer API + MCP and People Data Labs without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 76 against 70", "Payments \u0026 pricing, 40 against 35" ], "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, 78 against 65", "Agent ergonomics, 77 against 68", "Maintenance \u0026 community, 79 against 26", "Transparency \u0026 trust, 67 against 58" ], "also": null, "goodFor": "Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.", "slug": "people-data-labs", "watchFor": "No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings" } ], "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-people-data-labs.json", "title": "Apollo API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs" }, { "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-people-data-labs.json", "title": "Coresignal API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs" }, { "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-people-data-labs.json", "title": "Crustdata API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs" }, { "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-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-zoominfo.json", "title": "Enrich Layer API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.json", "title": "FullEnrich API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.json", "title": "Fuse MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.json", "title": "Gojiberry vs People Data Labs", "url": "https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/hunter-vs-people-data-labs.json", "title": "Hunter API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/hunter-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs.json", "title": "LeadMagic API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.json", "title": "Lusha API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.json", "title": "People Data Labs vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.json", "title": "People Data Labs vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/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-people-data-labs.json", "title": "Dropcontact API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs" } ], "scores": [ { "by": 13, "edge": "people-data-labs", "enrich-layer": 65, "key": "reliability", "name": "Reliability", "people-data-labs": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 6, "edge": "enrich-layer", "enrich-layer": 76, "key": "schema", "name": "Schema \u0026 documentation", "people-data-labs": 70, "weight": 13 }, { "by": 9, "edge": "people-data-labs", "enrich-layer": 68, "key": "ergonomics", "name": "Agent ergonomics", "people-data-labs": 77, "weight": 13 }, { "by": 3, "edge": "people-data-labs", "enrich-layer": 40, "key": "security", "name": "Security \u0026 auth", "people-data-labs": 43, "weight": 14 }, { "by": 5, "edge": "enrich-layer", "enrich-layer": 40, "key": "payments", "name": "Payments \u0026 pricing", "people-data-labs": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 53, "edge": "people-data-labs", "enrich-layer": 26, "key": "maintenance", "name": "Maintenance \u0026 community", "people-data-labs": 79, "weight": 7 }, { "by": 9, "edge": "people-data-labs", "enrich-layer": 58, "key": "transparency", "name": "Transparency \u0026 trust", "people-data-labs": 67, "weight": 7 } ], "summary": "People Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing. 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.", "people-data-labs": "Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs", "json": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md", "slim": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.min.md" }, "markdown": "People Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing. Both do lead search.\n\n- Enrich Layer API + MCP: grade C, 55.8/100, rank #582 of 842. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json\n- People Data Labs: grade B, 64.2/100, rank #326 of 842. Markdown https://www.anchorterminal.com/tools/people-data-labs.md · JSON https://www.anchorterminal.com/api/v1/tools/people-data-labs.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 70\n- Payments \u0026 pricing, 40 against 35\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### People Data Labs (B)\n\nGood for: Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.\n\nAhead on:\n- Reliability, 78 against 65\n- Agent ergonomics, 77 against 68\n- Maintenance \u0026 community, 79 against 26\n- Transparency \u0026 trust, 67 against 58\n\nWatch for: No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings\n\n\n## Score by category\n\n| Category | Weight | Enrich Layer API + MCP | People Data Labs | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 78 | People Data Labs +13 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 70 | Enrich Layer API + MCP +6 |\n| Agent ergonomics | 13% (16.2 this run) | 68 | 77 | People Data Labs +9 |\n| Security \u0026 auth | 14% (17.5 this run) | 40 | 43 | People Data Labs +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | Enrich Layer API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 26 | 79 | People Data Labs +53 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 58 | 67 | People Data Labs +9 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.8 · C** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Enrich Layer API + MCP | People Data Labs |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Enrich Layer | People Data Labs, Inc. |\n| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://api.peopledatalabs.com/v5` |\n| Transports | HTTP, stdio | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT |\n| Tools exposed | 25 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-06-19 | 2026-09-16 |\n| Terms last updated | 2025-06-09 | couldn't be read |\n| Privacy policy last updated | 2025-06-09 | couldn't be read |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | yes | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | 0 stars, 26 npm/wk | 40 stars, 133k npm/wk, 30k PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Enrich Layer API + MCP.** Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.\n\n**People Data Labs.** Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice.\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### People Data Labs\n\n1. Send the key in the `X-Api-Key` header. The `api_key` query parameter puts the secret in URLs and logs\n2. Build and test queries against `https://sandbox.api.peopledatalabs.com/v5/...` first. It costs no credits and allows five calls a minute\n3. Set `size` deliberately on search. Every record returned costs one credit, and responses over 1 MB fail\n4. Treat `404` on enrichment as no match, not an error, and `402` as credits exhausted. Neither is worth a retry\n5. On `429`, wait until the `x-ratelimit-reset` time. Limits are fixed-window per key and per endpoint\n\n## Questions\n\n### Which is better for AI agents, Enrich Layer API + MCP or People Data Labs?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing.\n\n### Do Enrich Layer API + MCP and People Data Labs need an API key?\n\nBoth need an API key.\n\n### Can an agent call Enrich Layer API + MCP and People Data Labs without installing anything?\n\nYes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and People Data Labs at https://api.peopledatalabs.com/v5.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"enrich-layer\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare enrich-layer people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/enrich-layer.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with Enrich Layer API + MCP or People Data Labs\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 People Data Labs](https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.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 People Data Labs](https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs.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 People Data Labs](https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs.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 Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)\n- [Enrich Layer API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md)\n- [FullEnrich API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [Fuse MCP vs People Data Labs](https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.md)\n- [Gojiberry vs People Data Labs](https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.md)\n- [Hunter API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/hunter-vs-people-data-labs.md)\n- [LeadMagic API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/leadmagic-vs-people-data-labs.md)\n- [Lusha API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.md)\n- [People Data Labs vs Prospeo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.md)\n- [People Data Labs vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-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 People Data Labs](https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Enrich Layer API + MCP vs People Data Labs", "url": "" } ], "description": "People Data Labs scores 64.2 (B) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 5 of 7 scored categories. Enrich Layer API + MCP leads on schema \u0026 documentation and payments \u0026 pricing. Both do lead search. Category scores, facts, verdicts and agent…", "facts": [ "Enrich Layer API + MCP C 55.8", "People Data Labs B 64.2", "scores" ], "h1": "Enrich Layer API + MCP vs People Data Labs", "image": "https://www.anchorterminal.com/assets/og/compare-enrich-layer-vs-people-data-labs.png", "path": "/compare/enrich-layer-vs-people-data-labs", "published": "2026-10-01", "section": "tools", "title": "Enrich Layer API + MCP vs People Data Labs for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs" }, "tokens": { "markdown": 2500, "slim": 730 }, "version": 1 }