{ "data": { "a": { "slug": "fullenrich", "name": "FullEnrich API + MCP", "vendor": "FullEnrich", "vendorUrl": "https://fullenrich.com", "kind": "http-api", "category": "lead-data", "summary": "Waterfall contact enrichment that queries 20+ data providers for work emails, personal emails and mobile numbers, plus people and company search and reverse email lookup.", "url": "https://www.anchorterminal.com/tools/fullenrich", "markdownUrl": "https://www.anchorterminal.com/tools/fullenrich.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fullenrich.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fullenrich.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://app.fullenrich.com/api/v2", "packages": [], "auth": "mixed", "authNotes": "Bearer API key in the Authorization header for REST. The hosted MCP server at https://mcp.fullenrich.com/mcp signs in with your FullEnrich account over OAuth. Webhooks carry an X-Signature-SHA1 header, an HMAC-SHA1 of the raw body keyed with your API key.", "pricing": "freemium", "pricingNotes": "Free trial with 50 credits and no card. Pro from $55 a month for 1,000 credits (about $0.055 a credit), scaling to $720 a month for 15,000 credits, with cheaper annual billing and Enterprise on quote. Credits are spent only on found data. A work email costs 1 credit, a personal email 3, a mobile number 10, a reverse email match 1, and each search result 0.25 (free to export again). Unused credits roll over for 3 months on monthly plans and 12 on annual (https://fullenrich.com/pricing).", "priceSummary": "$55 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 13, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.fullenrich.com", "llmsTxt": "https://docs.fullenrich.com/llms.txt", "openapi": "https://docs.fullenrich.com/api/v2/reference/openapi.yaml", "registryName": "io.github.FullEnrich/fullenrich", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.person", "data.company" ], "tags": [ "hosted", "freemium", "no-card", "mcp", "llms-txt", "openapi", "webhooks", "async-jobs", "closed-source", "lead-search", "enrichment" ], "lastRelease": "2026-08-27", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 491, "ranked": true, "rankOf": 842, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.", "bestFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.", "strengths": [ "Credits only spent on found data, and identical re-runs within 3 months are free", "50 trial credits with no card, API and MCP included", "Hosted MCP with OAuth and 13 tools, listed in the official registry under io.github.FullEnrich", "OpenAPI file and llms.txt", "SOC 2 Type 2 per the trust page" ], "weaknesses": [ "Enrichment sources are third-party providers the vendor doesn't name", "Status page covers the web app only, not the API or MCP", "No 429 or error reference found in the docs", "Public product changelog stops at November 2024", "Webhooks signed with HMAC-SHA1 keyed with the API key itself" ], "agentNotes": [ "Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again", "Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`", "Ask for mobiles only when needed. They cost 10 credits against 1 for a work email", "Call `list_industries` and `list_seniorities` before filtering search", "Use the 0-credit test contacts in the docs to check an integration" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.6 } ], "editorialScores": { "ergonomics": 60, "maintenance": 68, "payments": 40, "reliability": 60, "schema": 72, "security": 55, "transparency": 50 }, "provenanceScore": 77 }, "connect": { "http": "curl https://app.fullenrich.com/api/v2/account/credits -H \"Authorization: Bearer $FULLENRICH_API_KEY\"", "claudeCode": "claude mcp add --transport http fullenrich https://mcp.fullenrich.com/mcp", "config": { "mcpServers": { "fullenrich": { "url": "https://mcp.fullenrich.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/fullenrich" }, "area": "web-data", "unitPrices": [ { "item": "Pro, 1,000 credits", "unit": "month", "usd": 55 }, { "item": "Pro, 15,000 credits", "unit": "month", "usd": 720 }, { "item": "Credit on Pro 1,000", "unit": "credit", "usd": 0.055, "note": "one found work email; a mobile is 10 credits, a personal email 3, a search result 0.25" } ], "provenance": { "legalEntity": "FullEnrich Corp", "domain": "fullenrich.com", "domainRegistered": "2023-04-08", "endpointOnVendorDomain": true, "terms": "https://fullenrich.com/tos", "privacy": "https://fullenrich.com/privacy-policy", "statusPage": "https://status.fullenrich.com", "changelog": "https://fullenrich.com/changelog", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "The public changelog's newest entry is 30 November 2024. The MCP package keeps its own CHANGELOG in github.com/FullEnrich/fullenrich-skills, latest 1.0.4 on 2026-08-27", "The status page has one component, app.fullenrich.com/app, and none for the API" ], "score": 77 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/fullenrich.json", "live": { "slug": "fullenrich", "probe": { "target": "https://app.fullenrich.com/api/v2", "method": "get", "lastAt": "2026-10-09T10:42:43.755125579Z", "lastOk": true, "lastStatus": 404, "lastMs": 88, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 69, "p95ms24h": 129, "samples24h": 260, "samples30d": 2300, "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": 114, "ok": 114 } ] }, "vendorStatus": { "page": "https://status.fullenrich.com", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:57.476748338Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.FullEnrich/fullenrich", "version": "1.0.4", "seenAt": "2026-10-09T02:57:46.004536428Z" } ], "securityTxt": { "url": "https://fullenrich.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:03.745768343Z" }, "llmsTxt": { "url": "https://docs.fullenrich.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:27.12312278Z" }, "domain": { "domain": "fullenrich.com", "registered": "2023-04-08", "source": "https://rdap.verisign.com/com/v1/domain/fullenrich.com", "checkedAt": "2026-10-04T13:08:06.739717008Z" }, "pages": [ { "url": "https://fullenrich.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:20:31.544023287Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3743ba5a6ed1" }, { "url": "https://fullenrich.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:20:34.70236178Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8d24d5b37df7" }, { "url": "https://fullenrich.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:20:35.863765695Z", "changedAt": "2026-10-08T18:20:35.863765695Z", "fingerprint": "e5ec8a32f619" }, { "url": "https://fullenrich.com/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:20:37.96787689Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "09e6f975476f" } ], "updatedAt": "2026-10-09T10:42:43.755125579Z" } }, "answer": "People Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth 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": "2026-10-09T10:42:52.387275806Z", "lastOk": true, "lastStatus": 404, "lastMs": 591, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 591, "p95ms24h": 643, "samples24h": 33, "samples30d": 33, "days": [ { "date": "2026-10-09", "probes": 33, "ok": 33 } ] }, "vendorStatus": { "page": "https://status.peopledatalabs.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T10:41:58.65183273Z" }, "updatedAt": "2026-10-09T10:42:52.387275806Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "FullEnrich", "b": "People Data Labs, Inc.", "name": "Vendor" }, { "a": "https://app.fullenrich.com/api/v2", "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": "13", "b": "none", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.FullEnrich/fullenrich", "b": "not listed", "name": "MCP registry" }, { "a": "2026-08-27", "b": "2026-09-16", "name": "Last release" }, { "a": "2026-08-20", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2026-08-20", "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": "yes", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "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": "3.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "People Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth and payments \u0026 pricing.", "question": "Which is better for AI agents, FullEnrich API + MCP or People Data Labs?" }, { "answer": "FullEnrich API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.", "question": "Do FullEnrich API + MCP and People Data Labs need an API key?" }, { "answer": "Yes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.com/api/v2 and People Data Labs at https://api.peopledatalabs.com/v5.", "question": "Can an agent call FullEnrich API + MCP and People Data Labs without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 55 against 43", "Payments \u0026 pricing, 40 against 35" ], "also": [ "Free to start without a card" ], "goodFor": "Maximising find rate on known contacts, especially mobiles, without a long-term contract.", "slug": "fullenrich", "watchFor": "Enrichment sources are third-party providers the vendor doesn't name" }, { "aheadOn": [ "Reliability, 78 against 60", "Agent ergonomics, 77 against 60", "Maintenance \u0026 community, 79 against 68" ], "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-fullenrich.json", "title": "Apollo API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fullenrich" }, { "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-fullenrich.json", "title": "Coresignal API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/coresignal-vs-fullenrich" }, { "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-fullenrich.json", "title": "Crustdata API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/crustdata-vs-fullenrich" }, { "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-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-fuse-mcp.json", "title": "FullEnrich API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.json", "title": "FullEnrich API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter.json", "title": "FullEnrich API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.json", "title": "FullEnrich API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic" }, { "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-prospeo.json", "title": "FullEnrich API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.json", "title": "FullEnrich API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo" }, { "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-fullenrich.json", "title": "Dropcontact API + MCP vs FullEnrich API + MCP", "url": "https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich" }, { "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": 18, "edge": "people-data-labs", "fullenrich": 60, "key": "reliability", "name": "Reliability", "people-data-labs": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "fullenrich", "fullenrich": 72, "key": "schema", "name": "Schema \u0026 documentation", "people-data-labs": 70, "weight": 13 }, { "by": 17, "edge": "people-data-labs", "fullenrich": 60, "key": "ergonomics", "name": "Agent ergonomics", "people-data-labs": 77, "weight": 13 }, { "by": 12, "edge": "fullenrich", "fullenrich": 55, "key": "security", "name": "Security \u0026 auth", "people-data-labs": 43, "weight": 14 }, { "by": 5, "edge": "fullenrich", "fullenrich": 40, "key": "payments", "name": "Payments \u0026 pricing", "people-data-labs": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 11, "edge": "people-data-labs", "fullenrich": 68, "key": "maintenance", "name": "Maintenance \u0026 community", "people-data-labs": 79, "weight": 7 }, { "by": 3, "edge": "people-data-labs", "fullenrich": 64, "key": "transparency", "name": "Transparency \u0026 trust", "people-data-labs": 67, "weight": 7 } ], "summary": "People Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search.", "verdicts": { "fullenrich": "Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.", "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/fullenrich-vs-people-data-labs", "json": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md", "slim": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.min.md" }, "markdown": "People Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search.\n\n- FullEnrich API + MCP: grade C, 59.6/100, rank #491 of 842. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.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### FullEnrich API + MCP (C)\n\nGood for: Maximising find rate on known contacts, especially mobiles, without a long-term contract.\n\nAhead on:\n- Security \u0026 auth, 55 against 43\n- Payments \u0026 pricing, 40 against 35\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Enrichment sources are third-party providers the vendor doesn't name\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 60\n- Agent ergonomics, 77 against 60\n- Maintenance \u0026 community, 79 against 68\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 | FullEnrich API + MCP | People Data Labs | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 78 | People Data Labs +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 72 | 70 | FullEnrich API + MCP +2 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 77 | People Data Labs +17 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 43 | FullEnrich API + MCP +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | FullEnrich API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 68 | 79 | People Data Labs +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 67 | People Data Labs +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **59.6 · C** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | FullEnrich API + MCP | People Data Labs |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | FullEnrich | People Data Labs, Inc. |\n| Hosted endpoint | `https://app.fullenrich.com/api/v2` | `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 | 13 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.FullEnrich/fullenrich` | not listed |\n| Last release | 2026-08-27 | 2026-09-16 |\n| Terms last updated | 2026-08-20 | couldn't be read |\n| Privacy policy last updated | 2026-08-20 | 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 | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | 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 | 3.5/5 (2) | none |\n\n## Verdicts\n\n**FullEnrich API + MCP.** Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.\n\n**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### FullEnrich API + MCP\n\n1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again\n2. Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`\n3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email\n4. Call `list_industries` and `list_seniorities` before filtering search\n5. Use the 0-credit test contacts in the docs to check an integration\n\n### 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, FullEnrich API + MCP or People Data Labs?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth and payments \u0026 pricing.\n\n### Do FullEnrich API + MCP and People Data Labs need an API key?\n\nFullEnrich API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.\n\n### Can an agent call FullEnrich API + MCP and People Data Labs without installing anything?\n\nYes. FullEnrich API + MCP has a hosted endpoint at https://app.fullenrich.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/fullenrich-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fullenrich\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare fullenrich people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fullenrich.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with FullEnrich API + MCP or People Data Labs\n\n- [Apollo API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-fullenrich.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-fullenrich.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 People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [FullEnrich API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/fullenrich-vs-fuse-mcp.md)\n- [FullEnrich API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/fullenrich-vs-gojiberry.md)\n- [FullEnrich API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-hunter.md)\n- [FullEnrich API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-leadmagic.md)\n- [FullEnrich API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-lusha.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md)\n- [FullEnrich API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.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 FullEnrich API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-fullenrich.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": "FullEnrich API + MCP vs People Data Labs", "url": "" } ], "description": "People Data Labs scores 64.2 (B) on agent readiness against FullEnrich API + MCP's 59.6 (C), and leads in 4 of 7 scored categories. FullEnrich API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search. Category scores, facts, verdicts and agent notes side by…", "facts": [ "FullEnrich API + MCP C 59.6", "People Data Labs B 64.2", "scores" ], "h1": "FullEnrich API + MCP vs People Data Labs", "image": "https://www.anchorterminal.com/assets/og/compare-fullenrich-vs-people-data-labs.png", "path": "/compare/fullenrich-vs-people-data-labs", "published": "2026-10-01", "section": "tools", "title": "FullEnrich API + MCP vs People Data Labs for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs" }, "tokens": { "markdown": 2500, "slim": 730 }, "version": 1 }