{ "data": { "a": { "slug": "lusha", "name": "Lusha API + MCP", "vendor": "Lusha", "vendorUrl": "https://www.lusha.com", "kind": "http-api", "category": "lead-data", "summary": "Contact and company enrichment, filter-based prospecting, lookalikes, job-change and company signals, and webhooks over a versioned REST API with OpenAPI files.", "url": "https://www.anchorterminal.com/tools/lusha", "markdownUrl": "https://www.anchorterminal.com/tools/lusha.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/lusha.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/lusha.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.lusha.com", "packages": [], "auth": "mixed", "authNotes": "REST calls take an `api_key` header (lowercase, underscore). Keys belong to users and can carry per-key credit caps set by admins. The hosted MCP server at https://mcp.lusha.com takes OAuth in chat clients or an x-api-key header elsewhere. Webhooks are signed with HMAC-SHA256.", "pricing": "freemium", "pricingNotes": "Free plan with 40 credits a month. Starter $49.90 a month for 400 credits, Pro $69.90 for 600, Premium $399.90 for 3,400, with about 25 per cent off billed yearly, and Scale on quote. An email costs 1 credit, a phone 5 and company data 1, plus 1 credit per request (per 25 results in bulk), charged even when nothing matches (https://www.lusha.com/pricing/).", "priceSummary": "$49.90 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 50, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.lusha.com", "llmsTxt": "https://docs.lusha.com/llms.txt", "openapi": "https://docs.lusha.com/openapi.json", "registryName": "com.lusha.mcp/mcp", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "freemium", "mcp", "llms-txt", "openapi", "webhooks", "closed-source", "enterprise", "lead-search", "enrichment" ], "lastRelease": "2026-09-23", "graded": true, "anchor": { "graded": true, "score": 62.3, "grade": "B", "agentReady": false, "rank": 393, "ranked": true, "rankOf": 842, "categoryRank": 5, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 51, "maintenance": 82, "payments": 40, "reliability": 75, "schema": 83, "security": 59, "transparency": 80 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -4, "negativeNotes": [ "On 2026-09-04 version 2.8.0 retired the Decision Makers API, launched on 2026-06-08 in 2.4.0, and removed it from the reference in a minor version with no notice period found (https://docs.lusha.com/changelog/overview)", "On 2026-03-10 version 2.2.0 moved Contact Lookalikes to `/v3/lookalike/contacts` with replaced schemas, marked not backwards compatible, in a minor version (https://docs.lusha.com/changelog/overview)" ], "verdict": "API key on every plan, including Free with 40 credits a month. At least 1 credit per request even when nothing matches.", "bestFor": "Sales teams that want contact and company enrichment, signals and prospecting from one vendor, with a free plan to start.", "strengths": [ "API key on every plan, including Free with 40 credits a month", "Admins can cap each key's monthly credits", "Ten dated releases since 8 June 2026", "Privacy notice names sources, a DPO and an EU representative, with a removal page and subprocessor list", "SOC 2 Type II and a 99.95 per cent uptime SLA stated in the trust centre" ], "weaknesses": [ "At least 1 credit per request even when nothing matches", "Decision Makers API removed 88 days after launch, and Contact Lookalikes changed incompatibly, both in minor versions", "50 MCP tools with no toolsets or read-only mode, including table writes and CRM export", "Free plan capped at 100 requests a day", "Contact data partly comes from members' shared CRM, email and calendar data" ], "agentNotes": [ "Batch up to 25 contacts a request. A single bulk request costs 1 credit, not 1 per contact", "Ask for phones only when needed. A phone is 5 credits against 1 for an email", "Use the Buying Group endpoint. Decision Makers was retired on 2026-09-04", "Use `/v3/lookalike/contacts` for contact lookalikes", "Back off exponentially on 429. Free keys stop at 100 requests a day" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.3 } ], "editorialScores": { "ergonomics": 51, "maintenance": 82, "payments": 40, "reliability": 75, "schema": 83, "security": 59, "transparency": 67 }, "provenanceScore": 92 }, "connect": { "http": "curl https://api.lusha.com/account/usage -H \"api_key: $LUSHA_API_KEY\"", "claudeCode": "claude mcp add --transport http lusha https://mcp.lusha.com", "config": { "mcpServers": { "lusha": { "headers": { "x-api-key": "${LUSHA_API_KEY}" }, "url": "https://mcp.lusha.com" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/lusha" }, "area": "web-data", "unitPrices": [ { "item": "Starter", "unit": "month", "usd": 49.9, "note": "400 credits" }, { "item": "Pro", "unit": "month", "usd": 69.9, "note": "600 credits" }, { "item": "Premium", "unit": "month", "usd": 399.9, "note": "3,400 credits" } ], "provenance": { "legalEntity": "Lusha Systems Inc.", "domain": "lusha.com", "domainRegistered": "1999-07-09", "endpointOnVendorDomain": true, "terms": "https://www.lusha.com/legal/terms_and_conditions-2/", "privacy": "https://www.lusha.com/legal/privacy_policy/", "statusPage": "https://status.lusha.com", "changelog": "https://docs.lusha.com/changelog/overview", "securityTxt": "valid", "checked": "2026-09-30", "notes": [ "lusha.com was registered in 1999, long before Lusha was founded. The Delaware entity works with its Israeli affiliate Lusha Systems Ltd." ], "score": 92 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/lusha.json", "live": { "slug": "lusha", "probe": { "target": "https://api.lusha.com", "method": "get", "lastAt": "2026-10-09T11:46:33.019212269Z", "lastOk": true, "lastStatus": 404, "lastMs": 138, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 134, "p95ms24h": 376, "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.lusha.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:39:50.478361437Z" }, "versions": [ { "registry": "mcp-registry", "name": "com.lusha.mcp/mcp", "version": "1.0.0", "seenAt": "2026-10-09T02:57:46.004536428Z" } ], "securityTxt": { "url": "https://lusha.com/.well-known/security.txt", "state": "valid", "expires": "2027-05-01T14:48:00Z", "checkedAt": "2026-10-08T15:38:44.144273196Z" }, "llmsTxt": { "url": "https://docs.lusha.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:35.233504919Z" }, "domain": { "domain": "lusha.com", "registered": "1999-07-09", "source": "https://rdap.verisign.com/com/v1/domain/lusha.com", "checkedAt": "2026-10-04T13:10:25.928147432Z" }, "pages": [ { "url": "https://docs.lusha.com/changelog/overview", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:19:02.964530973Z", "changedAt": "2026-10-07T18:05:14.239629192Z", "fingerprint": "a6104e90e97e" }, { "url": "https://www.lusha.com/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:28:55.160034582Z", "changedAt": "2026-10-08T18:28:55.160034582Z", "fingerprint": "178033a3b97c" }, { "url": "https://www.lusha.com/legal/privacy_policy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:28:50.786636551Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f02acae6094e" }, { "url": "https://www.lusha.com/legal/terms_and_conditions-2/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:28:53.494767315Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f0614f5f443f" } ], "updatedAt": "2026-10-09T11:46:33.019212269Z" } }, "answer": "People Data Labs scores 64.2 (B) on agent readiness against Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "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": "Lusha", "b": "People Data Labs, Inc.", "name": "Vendor" }, { "a": "https://api.lusha.com", "b": "https://api.peopledatalabs.com/v5", "name": "Hosted endpoint" }, { "a": "HTTP, Streamable HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "none", "b": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT", "name": "Licence" }, { "a": "50", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "com.lusha.mcp/mcp", "b": "not listed", "name": "MCP registry" }, { "a": "2026-09-23", "b": "2026-09-16", "name": "Last release" }, { "a": "no date given", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2026-09-01", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "yes", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "yes", "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": "yes", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "none", "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 Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.", "question": "Which is better for AI agents, Lusha API + MCP or People Data Labs?" }, { "answer": "Lusha API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.", "question": "Do Lusha API + MCP and People Data Labs need an API key?" }, { "answer": "Yes. Lusha API + MCP has a hosted endpoint at https://api.lusha.com and People Data Labs at https://api.peopledatalabs.com/v5.", "question": "Can an agent call Lusha API + MCP and People Data Labs without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 83 against 70", "Security \u0026 auth, 59 against 43", "Payments \u0026 pricing, 40 against 35", "Transparency \u0026 trust, 80 against 67" ], "also": null, "goodFor": "Sales teams that want contact and company enrichment, signals and prospecting from one vendor, with a free plan to start.", "slug": "lusha", "watchFor": "At least 1 credit per request even when nothing matches" }, { "aheadOn": [ "Agent ergonomics, 77 against 51" ], "also": [ "No incidents deducted, where Lusha API + MCP loses 4 points for them" ], "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-lusha.json", "title": "Apollo API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-lusha" }, { "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-lusha.json", "title": "Coresignal API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-lusha" }, { "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-lusha.json", "title": "Crustdata API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-lusha" }, { "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-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/fullenrich-vs-lusha.json", "title": "FullEnrich API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-lusha" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.json", "title": "FullEnrich API + MCP vs People Data Labs", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs" }, { "json": "https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha.json", "title": "Fuse MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha" }, { "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-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-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-lusha.json", "title": "LeadMagic API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/leadmagic-vs-lusha" }, { "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-prospeo.json", "title": "Lusha API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/lusha-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/lusha-vs-zoominfo.json", "title": "Lusha API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/lusha-vs-zoominfo" }, { "json": "https://www.anchorterminal.com/compare/people-data-labs-vs-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-lusha.json", "title": "Dropcontact API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-lusha" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/hunter-vs-lusha.json", "title": "Hunter API + MCP vs Lusha API + MCP", "url": "https://www.anchorterminal.com/compare/hunter-vs-lusha" } ], "scores": [ { "by": 3, "edge": "people-data-labs", "key": "reliability", "lusha": 75, "name": "Reliability", "people-data-labs": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 13, "edge": "lusha", "key": "schema", "lusha": 83, "name": "Schema \u0026 documentation", "people-data-labs": 70, "weight": 13 }, { "by": 26, "edge": "people-data-labs", "key": "ergonomics", "lusha": 51, "name": "Agent ergonomics", "people-data-labs": 77, "weight": 13 }, { "by": 16, "edge": "lusha", "key": "security", "lusha": 59, "name": "Security \u0026 auth", "people-data-labs": 43, "weight": 14 }, { "by": 5, "edge": "lusha", "key": "payments", "lusha": 40, "name": "Payments \u0026 pricing", "people-data-labs": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "lusha", "key": "maintenance", "lusha": 82, "name": "Maintenance \u0026 community", "people-data-labs": 79, "weight": 7 }, { "by": 13, "edge": "lusha", "key": "transparency", "lusha": 80, "name": "Transparency \u0026 trust", "people-data-labs": 67, "weight": 7 } ], "summary": "People Data Labs scores 64.2 (B) on agent readiness against Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do lead search.", "verdicts": { "lusha": "API key on every plan, including Free with 40 credits a month. At least 1 credit per request even when nothing matches.", "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/lusha-vs-people-data-labs", "json": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.md", "slim": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.min.md" }, "markdown": "People Data Labs scores 64.2 (B) on agent readiness against Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do lead search.\n\n- Lusha API + MCP: grade B, 62.3/100, rank #393 of 842. Markdown https://www.anchorterminal.com/tools/lusha.md · JSON https://www.anchorterminal.com/api/v1/tools/lusha.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### Lusha API + MCP (B)\n\nGood for: Sales teams that want contact and company enrichment, signals and prospecting from one vendor, with a free plan to start.\n\nAhead on:\n- Schema \u0026 documentation, 83 against 70\n- Security \u0026 auth, 59 against 43\n- Payments \u0026 pricing, 40 against 35\n- Transparency \u0026 trust, 80 against 67\n\nWatch for: At least 1 credit per request even when nothing matches\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- Agent ergonomics, 77 against 51\n\nAlso in its favour:\n- No incidents deducted, where Lusha API + MCP loses 4 points for them\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 | Lusha API + MCP | People Data Labs | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 75 | 78 | People Data Labs +3 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 83 | 70 | Lusha API + MCP +13 |\n| Agent ergonomics | 13% (16.2 this run) | 51 | 77 | People Data Labs +26 |\n| Security \u0026 auth | 14% (17.5 this run) | 59 | 43 | Lusha API + MCP +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | Lusha API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 79 | Lusha API + MCP +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 67 | Lusha API + MCP +13 |\n| Negative events | ≤15 | -4 | 0 | |\n| **Total** | | **62.3 · B** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Lusha API + MCP | People Data Labs |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Lusha | People Data Labs, Inc. |\n| Hosted endpoint | `https://api.lusha.com` | `https://api.peopledatalabs.com/v5` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | none | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT |\n| Tools exposed | 50 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `com.lusha.mcp/mcp` | not listed |\n| Last release | 2026-09-23 | 2026-09-16 |\n| Terms last updated | no date given | couldn't be read |\n| Privacy policy last updated | 2026-09-01 | couldn't be read |\n| Customer content may train models | yes, with an opt-out | couldn't be read |\n| Terms restrict automated access | yes | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | yes | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | none | 40 stars, 133k npm/wk, 30k PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## Verdicts\n\n**Lusha API + MCP.** API key on every plan, including Free with 40 credits a month. At least 1 credit per request even when nothing matches.\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### Lusha API + MCP\n\n1. Batch up to 25 contacts a request. A single bulk request costs 1 credit, not 1 per contact\n2. Ask for phones only when needed. A phone is 5 credits against 1 for an email\n3. Use the Buying Group endpoint. Decision Makers was retired on 2026-09-04\n4. Use `/v3/lookalike/contacts` for contact lookalikes\n5. Back off exponentially on 429. Free keys stop at 100 requests a day\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, Lusha API + MCP or People Data Labs?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust.\n\n### Do Lusha API + MCP and People Data Labs need an API key?\n\nLusha API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.\n\n### Can an agent call Lusha API + MCP and People Data Labs without installing anything?\n\nYes. Lusha API + MCP has a hosted endpoint at https://api.lusha.com 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/lusha-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"lusha\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare lusha people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/lusha.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with Lusha API + MCP or People Data Labs\n\n- [Apollo API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/apollo-vs-lusha.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 Lusha API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-lusha.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 Lusha API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-lusha.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 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- [FullEnrich API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md)\n- [FullEnrich API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [Fuse MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-lusha.md)\n- [Fuse MCP vs People Data Labs](https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.md)\n- [Gojiberry vs Lusha API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-lusha.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 Lusha API + MCP](https://www.anchorterminal.com/compare/leadmagic-vs-lusha.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 Prospeo API + MCP](https://www.anchorterminal.com/compare/lusha-vs-prospeo.md)\n- [Lusha API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/lusha-vs-zoominfo.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 Lusha API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-lusha.md)\n- [Dropcontact API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.md)\n- [Hunter API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/hunter-vs-lusha.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": "Lusha API + MCP vs People Data Labs", "url": "" } ], "description": "People Data Labs scores 64.2 (B) on agent readiness against Lusha API + MCP's 62.3 (B), and leads in 2 of 7 scored categories. Lusha API + MCP leads on schema \u0026 documentation, security \u0026 auth, payments \u0026 pricing and transparency \u0026 trust. Both do lead search. Category scores…", "facts": [ "Lusha API + MCP B 62.3", "People Data Labs B 64.2", "scores" ], "h1": "Lusha API + MCP vs People Data Labs", "image": "https://www.anchorterminal.com/assets/og/compare-lusha-vs-people-data-labs.png", "path": "/compare/lusha-vs-people-data-labs", "published": "2026-10-01", "section": "tools", "title": "Lusha API + MCP vs People Data Labs for AI agents, B 62.3 vs B 64.2", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/lusha-vs-people-data-labs" }, "tokens": { "markdown": 2450, "slim": 730 }, "version": 1 }