{ "data": { "a": { "slug": "apollo", "name": "Apollo API + MCP", "vendor": "Apollo.io", "vendorUrl": "https://www.apollo.io", "kind": "http-api", "category": "lead-data", "summary": "People and company search over Apollo's database of about 240 million contacts and 30 million companies, person and company enrichment with email and mobile reveal, and the Apollo CRM and sequence objects.", "url": "https://www.anchorterminal.com/tools/apollo", "markdownUrl": "https://www.anchorterminal.com/tools/apollo.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/apollo.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/apollo.json", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.apollo.io/api/v1", "packages": [], "auth": "mixed", "authNotes": "REST uses the `x-api-key` header. Keys can be limited to chosen endpoints, and a master key reaches everything. Partners use OAuth 2.0. The hosted MCP at mcp.apollo.io uses OAuth, and headless clients send a master key in `X-Api-Key`. Calls act as the workspace's longest-standing active admin, whoever made the key.", "pricing": "freemium", "pricingNotes": "Free plan, then Basic $49, Professional $79 and Organization $119 a user a month billed yearly ($59, $99 and $149 monthly; the Organization plan needs 3 seats). People search costs 0 credits. Person enrichment is 1 credit for email and demographics plus 8 for a mobile number, and waterfall lookups through third-party vendors can reach 20 or more credits for an email and 45 or more for a phone. Company enrichment is 1 credit per company, company search 1 credit per page of up to 100. The pricing FAQ says custom integrations need a Custom plan, while the API docs list rate limits for the Free through Organization plans (https://www.apollo.io/pricing).", "priceSummary": "$49 / seat-mo", "where": "hosted", "x402": { "level": "no", "evidence": "No x402 mention in the API docs, MCP docs or pricing (checked 2026-09-30).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 25, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.apollo.io", "llmsTxt": "https://docs.apollo.io/llms.txt", "openapi": "https://docs.apollo.io/openapi/apollo-rest-api.json", "registryName": "io.github.apolloio/apollo-mcp", "capabilities": [ "lead.search", "lead.enrichment", "email.finder", "data.company", "data.person" ], "tags": [ "lead-search", "enrichment", "hosted", "freemium", "mcp", "llms-txt", "openapi", "webhooks", "closed-source" ], "graded": true, "anchor": { "graded": true, "score": 63.3, "grade": "B", "agentReady": false, "rank": 361, "ranked": true, "rankOf": 842, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "People search costs 0 credits, up to 100 records a page and 50,000 a query. Headless MCP use needs a master key that reaches every endpoint.", "bestFor": "Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.", "strengths": [ "People search costs 0 credits, up to 100 records a page and 50,000 a query", "`error_details` carries a stable code, ordered fix suggestions and `retry_after_seconds`", "Scoped API keys limited to chosen endpoints, with regenerate and delete", "ISO 27001 and SOC 2 Type 2, with a public subprocessor list in the trust centre", "Listed in the official MCP registry under io.github.apolloio" ], "weaknesses": [ "Headless MCP use needs a master key that reaches every endpoint", "MCP write actions include sending email, sequence enrolment and buying domains, with no read-only mode", "Status page has no API or MCP component, and logged background-job downtimes of 1 h 16 min and 2 h 49 min in the last 90 days", "Pricing FAQ says API access is on Custom plans, while the API docs list limits for Free through the Organization plan", "One changelog entry and no SLA found" ], "agentNotes": [ "Search people first at 0 credits, then enrich only the people you'll contact", "Branch on `error_details.code` and wait `retry_after_seconds` from the suggestions after a 429", "Limits are per team, so read the `x-minute-usage` and remaining headers before a bulk run", "Use a scoped key with only the endpoints the job needs. A master key reaches everything", "Get a person's approval before adding contacts to a sequence, since enrolment can start sending" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.3 } ], "editorialScores": { "ergonomics": 65, "maintenance": 58, "payments": 30, "reliability": 65, "schema": 87, "security": 60, "transparency": 64 }, "provenanceScore": 79 }, "connect": { "http": "curl -X POST https://api.apollo.io/api/v1/mixed_people/api_search -H \"x-api-key: $APOLLO_API_KEY\" \\\n -H \"Content-Type: application/json\" -d '{\"person_titles\":[\"head of sales\"],\"per_page\":5}'", "claudeCode": "claude mcp add --transport http apollo https://mcp.apollo.io/mcp" }, "letme": { "capability": "https://letme.dev/lead.search", "tool": "https://letme.dev/apollo" }, "area": "web-data", "unitPrices": [ { "item": "Basic plan", "unit": "seat-month", "usd": 49, "note": "billed yearly, $59 monthly" }, { "item": "Professional plan", "unit": "seat-month", "usd": 79, "note": "billed yearly, $99 monthly" }, { "item": "Organization plan", "unit": "seat-month", "usd": 119, "note": "billed yearly, $149 monthly, 3 seats minimum" } ], "provenance": { "legalEntity": "ZenLeads Inc. d/b/a Apollo.io", "domain": "apollo.io", "domainRegistered": "2018-01-09", "endpointOnVendorDomain": true, "terms": "https://www.apollo.io/terms", "privacy": "https://www.apollo.io/privacy-policy", "statusPage": "https://status.apollo.io", "changelog": "https://docs.apollo.io/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "Plan prices come from the pricing page's structured data and third-party reports. The plan table itself renders client-side" ], "score": 79 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/apollo.json", "live": { "slug": "apollo", "probe": { "target": "https://api.apollo.io/api/v1", "method": "get", "lastAt": "2026-10-09T11:46:21.855835737Z", "lastOk": true, "lastStatus": 404, "lastMs": 603, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 348, "p95ms24h": 420, "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.apollo.io", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T07:57:36.979397152Z" }, "versions": [ { "registry": "mcp-registry", "name": "io.github.apolloio/apollo-mcp", "version": "0.1.1", "seenAt": "2026-10-09T02:57:46.004536428Z" } ], "securityTxt": { "url": "https://apollo.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:10.427657786Z" }, "llmsTxt": { "url": "https://docs.apollo.io/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:02.801406403Z" }, "domain": { "domain": "apollo.io", "checkedAt": "2026-10-04T13:05:44.956777073Z" }, "pages": [ { "url": "https://docs.apollo.io/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:18:13.084771651Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "1a556e38f6a1" }, { "url": "https://docs.apollo.io/openapi/apollo-rest-api.json", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:18:15.477745664Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://www.apollo.io/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:26:14.59690457Z", "changedAt": "2026-10-05T16:01:28.412667262Z", "fingerprint": "6468fcce8923" }, { "url": "https://www.apollo.io/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:26:16.694480777Z", "changedAt": "2026-10-03T15:37:08.597416668Z", "fingerprint": "0c91b7af950c" }, { "url": "https://www.apollo.io/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:26:18.689168905Z", "changedAt": "2026-10-03T15:37:10.47446383Z", "fingerprint": "dbbe719a7b6c" } ], "updatedAt": "2026-10-09T11:46:21.855835737Z" } }, "answer": "People Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth 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": "Apollo.io", "b": "People Data Labs, Inc.", "name": "Vendor" }, { "a": "https://api.apollo.io/api/v1", "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": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "io.github.apolloio/apollo-mcp", "b": "not listed", "name": "MCP registry" }, { "a": "none", "b": "2026-09-16", "name": "Last release" }, { "a": "2026-08-10", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "2026-08-10", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "yes", "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": "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": "25 stars", "b": "40 stars, 133k npm/wk, 30k PyPI/wk", "name": "Popularity" }, { "a": "2.5/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "People Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust.", "question": "Which is better for AI agents, Apollo API + MCP or People Data Labs?" }, { "answer": "Apollo API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.", "question": "Do Apollo API + MCP and People Data Labs need an API key?" }, { "answer": "Yes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 and People Data Labs at https://api.peopledatalabs.com/v5.", "question": "Can an agent call Apollo API + MCP and People Data Labs without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 87 against 70", "Security \u0026 auth, 60 against 43", "Transparency \u0026 trust, 72 against 67" ], "also": null, "goodFor": "Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.", "slug": "apollo", "watchFor": "Headless MCP use needs a master key that reaches every endpoint" }, { "aheadOn": [ "Reliability, 78 against 65", "Agent ergonomics, 77 against 65", "Payments \u0026 pricing, 35 against 30", "Maintenance \u0026 community, 79 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-coresignal.json", "title": "Apollo API + MCP vs Coresignal API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-coresignal" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-crustdata.json", "title": "Apollo API + MCP vs Crustdata API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-crustdata" }, { "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-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-fuse-mcp.json", "title": "Apollo API + MCP vs Fuse MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry.json", "title": "Apollo API + MCP vs Gojiberry", "url": "https://www.anchorterminal.com/compare/apollo-vs-gojiberry" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-hunter.json", "title": "Apollo API + MCP vs Hunter API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-hunter" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-leadmagic.json", "title": "Apollo API + MCP vs LeadMagic API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-leadmagic" }, { "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-prospeo.json", "title": "Apollo API + MCP vs Prospeo API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-prospeo" }, { "json": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo.json", "title": "Apollo API + MCP vs ZoomInfo API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-zoominfo" }, { "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-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-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-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/apollo-vs-dropcontact.json", "title": "Apollo API + MCP vs Dropcontact API + MCP", "url": "https://www.anchorterminal.com/compare/apollo-vs-dropcontact" }, { "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": [ { "apollo": 65, "by": 13, "edge": "people-data-labs", "key": "reliability", "name": "Reliability", "people-data-labs": 78, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "apollo": 87, "by": 17, "edge": "apollo", "key": "schema", "name": "Schema \u0026 documentation", "people-data-labs": 70, "weight": 13 }, { "apollo": 65, "by": 12, "edge": "people-data-labs", "key": "ergonomics", "name": "Agent ergonomics", "people-data-labs": 77, "weight": 13 }, { "apollo": 60, "by": 17, "edge": "apollo", "key": "security", "name": "Security \u0026 auth", "people-data-labs": 43, "weight": 14 }, { "apollo": 30, "by": 5, "edge": "people-data-labs", "key": "payments", "name": "Payments \u0026 pricing", "people-data-labs": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "apollo": 58, "by": 21, "edge": "people-data-labs", "key": "maintenance", "name": "Maintenance \u0026 community", "people-data-labs": 79, "weight": 7 }, { "apollo": 72, "by": 5, "edge": "apollo", "key": "transparency", "name": "Transparency \u0026 trust", "people-data-labs": 67, "weight": 7 } ], "summary": "People Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust. Both do lead search.", "verdicts": { "apollo": "People search costs 0 credits, up to 100 records a page and 50,000 a query. Headless MCP use needs a master key that reaches every endpoint.", "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/apollo-vs-people-data-labs", "json": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.md", "slim": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.min.md" }, "markdown": "People Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust. Both do lead search.\n\n- Apollo API + MCP: grade B, 63.3/100, rank #361 of 842. Markdown https://www.anchorterminal.com/tools/apollo.md · JSON https://www.anchorterminal.com/api/v1/tools/apollo.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### Apollo API + MCP (B)\n\nGood for: Building prospect lists by title, seniority, location and firmographics, then pushing them into Apollo's CRM and sequences.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 70\n- Security \u0026 auth, 60 against 43\n- Transparency \u0026 trust, 72 against 67\n\nWatch for: Headless MCP use needs a master key that reaches every endpoint\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 65\n- Payments \u0026 pricing, 35 against 30\n- Maintenance \u0026 community, 79 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 | Apollo 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) | 87 | 70 | Apollo API + MCP +17 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 77 | People Data Labs +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 60 | 43 | Apollo API + MCP +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 35 | People Data Labs +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 58 | 79 | People Data Labs +21 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 67 | Apollo API + MCP +5 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63.3 · B** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Apollo API + MCP | People Data Labs |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Apollo.io | People Data Labs, Inc. |\n| Hosted endpoint | `https://api.apollo.io/api/v1` | `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| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | `io.github.apolloio/apollo-mcp` | not listed |\n| Last release | none | 2026-09-16 |\n| Terms last updated | 2026-08-10 | couldn't be read |\n| Privacy policy last updated | 2026-08-10 | couldn't be read |\n| Customer content may train models | yes | 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 | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | 25 stars | 40 stars, 133k npm/wk, 30k PyPI/wk |\n| Agent reviews | 2.5/5 (2) | none |\n\n## Verdicts\n\n**Apollo API + MCP.** People search costs 0 credits, up to 100 records a page and 50,000 a query. Headless MCP use needs a master key that reaches every endpoint.\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### Apollo API + MCP\n\n1. Search people first at 0 credits, then enrich only the people you'll contact\n2. Branch on `error_details.code` and wait `retry_after_seconds` from the suggestions after a 429\n3. Limits are per team, so read the `x-minute-usage` and remaining headers before a bulk run\n4. Use a scoped key with only the endpoints the job needs. A master key reaches everything\n5. Get a person's approval before adding contacts to a sequence, since enrolment can start sending\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, Apollo API + MCP or People Data Labs?\n\nPeople Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust.\n\n### Do Apollo API + MCP and People Data Labs need an API key?\n\nApollo API + MCP takes an API key or an OAuth sign-in. People Data Labs needs an API key.\n\n### Can an agent call Apollo API + MCP and People Data Labs without installing anything?\n\nYes. Apollo API + MCP has a hosted endpoint at https://api.apollo.io/api/v1 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/apollo-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"apollo\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare apollo people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/apollo.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with Apollo API + MCP or People Data Labs\n\n- [Apollo API + MCP vs Coresignal API + MCP](https://www.anchorterminal.com/compare/apollo-vs-coresignal.md)\n- [Apollo API + MCP vs Crustdata API + MCP](https://www.anchorterminal.com/compare/apollo-vs-crustdata.md)\n- [Apollo API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.md)\n- [Apollo API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/apollo-vs-fullenrich.md)\n- [Apollo API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/apollo-vs-fuse-mcp.md)\n- [Apollo API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/apollo-vs-gojiberry.md)\n- [Apollo API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/apollo-vs-hunter.md)\n- [Apollo API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/apollo-vs-leadmagic.md)\n- [Apollo API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/apollo-vs-lusha.md)\n- [Apollo API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-prospeo.md)\n- [Apollo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-zoominfo.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 People Data Labs](https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs.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 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- [Apollo API + MCP vs Dropcontact API + MCP](https://www.anchorterminal.com/compare/apollo-vs-dropcontact.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": "Apollo API + MCP vs People Data Labs", "url": "" } ], "description": "People Data Labs and Apollo API + MCP score within a point of each other on agent readiness, 64.2 (B) and 63.3 (B). Apollo API + MCP leads on schema \u0026 documentation, security \u0026 auth and transparency \u0026 trust. Both do lead search. Category scores, facts, verdicts and agent notes…", "facts": [ "Apollo API + MCP B 63.3", "People Data Labs B 64.2", "scores" ], "h1": "Apollo API + MCP vs People Data Labs", "image": "https://www.anchorterminal.com/assets/og/compare-apollo-vs-people-data-labs.png", "path": "/compare/apollo-vs-people-data-labs", "published": "2026-10-01", "section": "tools", "title": "Apollo API + MCP vs People Data Labs for AI agents, B 63.3 vs B 64.2", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/apollo-vs-people-data-labs" }, "tokens": { "markdown": 2450, "slim": 730 }, "version": 1 }