{
  "data": {
    "a": {
      "slug": "explorium-agentsource",
      "name": "Explorium AgentSource",
      "vendor": "Explorium Ltd.",
      "vendorUrl": "https://www.explorium.ai",
      "kind": "http-api",
      "category": "lead-data",
      "summary": "Explorium's AgentSource is a B2B data service for matching, searching and enriching companies and prospects, with event signals and AI research tasks. Agents reach it through a REST API (v2) and a hosted MCP server.",
      "url": "https://www.anchorterminal.com/tools/explorium-agentsource",
      "markdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json",
      "repo": "https://github.com/explorium-ai/mcp-explorium",
      "license": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT",
      "transports": [
        "http",
        "streamable-http",
        "sse"
      ],
      "remoteUrl": "https://api.explorium.ai",
      "packages": [],
      "auth": "api-key",
      "authNotes": "Self-serve API key from the admin console at admin.explorium.ai, sent in the `api_key` header. The docs say each company gets one key shared by all its users, with no scopes. The MCP v2 guide sends the same key as `Authorization: Bearer`. The older v1 MCP server at `mcp.explorium.ai` uses OAuth. The vendor's `auth.md` says registration needs a person and there is no client-registration endpoint.",
      "pricing": "usage",
      "pricingNotes": "One-off credit packs, no subscription. The pricing page lists Lite $29.99 for 500 credits, Starter $149.99 for 5,000, Growth $749.99 for 30,000 and Scale $7,499.99 for 500,000, valid 12 months and non-refundable. A free trial gives 100 credits for 90 days, so an agent's owner can start without a contract. The site's `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 and Growth at 25,000 credits instead. Fetch costs 1 credit a result (2 with the Bombora intent filter), enrichments 1 to 5, and contact enrichment 2 for email or 5 with phone.",
      "priceSummary": "$0.06 / credit",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the OpenAPI file, the pricing files or the terms of use (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": 11,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://developers.explorium.ai",
      "llmsTxt": "https://developers.explorium.ai/llms.txt",
      "openapi": "https://developers.explorium.ai/openapi.json",
      "capabilities": [
        "lead.search",
        "lead.enrichment",
        "email.finder",
        "data.company",
        "data.person"
      ],
      "tags": [
        "lead-search",
        "enrichment",
        "hosted",
        "mcp",
        "openapi",
        "llms-txt",
        "webhooks",
        "async-jobs",
        "credits",
        "free-trial",
        "closed-source"
      ],
      "lastRelease": "2026-09-02",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 48.1,
        "grade": "D",
        "agentReady": false,
        "rank": 821,
        "ranked": true,
        "rankOf": 950,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 63,
          "maintenance": 28,
          "payments": 40,
          "reliability": 42,
          "schema": 76,
          "security": 37,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": -2,
        "negativeNotes": [
          "On 9 October 2026 the site's machine-readable `pricing.md` (dated 26 August 2026) lists Starter at $99.99 for 2,500 credits and Growth at 25,000 credits, while the pricing page it names as canonical lists $149.99 for 5,000 and 30,000. The site's `auth.md` and server card also send agents to the MCP server the docs call deprecated. A misleading published claim, 2 points (https://www.explorium.ai/pricing.md, https://www.explorium.ai/pricing/)"
        ],
        "verdict": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.",
        "bestFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.",
        "strengths": [
          "Public OpenAPI 3.1 file covering 74 v2 operations, plus llms.txt and a Markdown twin of every docs page",
          "Rate limit of 200 queries a minute per key, with `X-RateLimit-*` headers and `Retry-After` on 429",
          "Credit packs priced in public from $0.015 to $0.06 a credit, and a 100-credit free trial valid 90 days",
          "Statistics endpoints are free, and the `credit-usage: true` header returns the credits each call spent",
          "v1 retirement timeline published, with end of support about six months and retirement about twelve months after 2 September 2026"
        ],
        "weaknesses": [
          "No status page was found, and no SLA is published",
          "One API key per company, shared by all users, with no scopes or read-only mode",
          "The site's `pricing.md` and its pricing page give different prices for the Starter and Growth packs",
          "The terms of use bar benchmarking and automated data collection, and allow service changes without notice",
          "No dated changelog and no official REST SDK found in the docs index"
        ],
        "agentNotes": [
          "Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated",
          "Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`",
          "Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50",
          "Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter",
          "Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 48.1
          }
        ],
        "editorialScores": {
          "ergonomics": 63,
          "maintenance": 28,
          "payments": 40,
          "reliability": 42,
          "schema": 76,
          "security": 37,
          "transparency": 49
        },
        "provenanceScore": 68
      },
      "connect": {
        "http": "curl --request POST --url https://api.explorium.ai/v1/prospects --header 'accept: application/json' --header 'api_key: YOUR_API_KEY' --header 'content-type: application/json' --data '{\"mode\": \"full\", \"page\": 1}'"
      },
      "letme": {
        "capability": "https://letme.dev/lead.search",
        "tool": "https://letme.dev/explorium-agentsource"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Lite credit pack",
          "unit": "credit",
          "usd": 0.06,
          "note": "$29.99 for 500 credits, valid 12 months"
        },
        {
          "item": "Starter credit pack",
          "unit": "credit",
          "usd": 0.03,
          "note": "$149.99 for 5,000 credits on the pricing page. The site's pricing.md says $99.99 for 2,500"
        },
        {
          "item": "Growth credit pack",
          "unit": "credit",
          "usd": 0.025,
          "note": "$749.99 for 30,000 credits on the pricing page. The site's pricing.md says 25,000"
        },
        {
          "item": "Scale credit pack",
          "unit": "credit",
          "usd": 0.015,
          "note": "$7,499.99 for 500,000 credits"
        },
        {
          "item": "Fetched business or prospect",
          "unit": "record",
          "usd": 0.03,
          "note": "1 credit a result at the Starter rate, 2 credits with the Bombora intent filter"
        },
        {
          "item": "Contact enrichment, email and phone",
          "unit": "record",
          "usd": 0.15,
          "note": "5 credits at the Starter rate. Email only is 2 credits"
        }
      ],
      "provenance": {
        "legalEntity": "Explorium Ltd.",
        "domain": "explorium.ai",
        "domainRegistered": "2018-08-16",
        "endpointOnVendorDomain": true,
        "terms": "https://www.explorium.ai/explorium-website-terms-of-use/",
        "privacy": "https://www.explorium.ai/privacy-policy/",
        "statusPage": "",
        "changelog": "https://developers.explorium.ai/v2/whats-new",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The page at /explorium-website-terms-of-use/ is titled Explorium Terms of Use (updated 14 June 2026). It is a contract between Explorium Ltd. and its affiliates and the customer, and covers the Platform, the API and Platform Data, so it governs the product and not only the website.",
          "The privacy policy (updated 28 June 2026) names Explorium Ltd., 3 Daniel Frisch St., Tel-Aviv, Israel, and covers the Platform and its end users. The terms give a contact address for Explorium Inc., 400 Concar Drive, San Mateo, California.",
          "www.explorium.ai/.well-known/security.txt returns the site's page-not-found page.",
          "No status page is linked from the docs or the site files read. status.explorium.ai did not answer our request.",
          "The changelog link is the v2 change list. No dated changelog was found in the docs index.",
          "RDAP for explorium.ai gives a registration date of 2018-08-16.",
          "The API answers at api.explorium.ai and the MCP server at mcp-v2.explorium.ai."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/explorium-agentsource.json",
      "live": {
        "slug": "explorium-agentsource",
        "probe": {
          "target": "https://api.explorium.ai",
          "method": "get",
          "lastAt": "2026-10-10T03:53:27.04258893Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 390,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 406,
          "p95ms24h": 1373,
          "samples24h": 125,
          "samples30d": 125,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "date": "2026-10-10",
              "probes": 40,
              "ok": 40
            }
          ]
        },
        "versions": [
          {
            "registry": "github",
            "name": "explorium-ai/mcp-explorium",
            "version": "1.0.0",
            "released": "2025-09-16",
            "seenAt": "2026-10-09T16:52:27.476335726Z"
          }
        ],
        "githubStars": 21,
        "pages": [
          {
            "url": "https://developers.explorium.ai/v2/whats-new",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:35:39.888809319Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "cbf94b2cb520"
          },
          {
            "url": "https://www.explorium.ai/privacy-policy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:50:02.46808686Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "a2cefae01442"
          },
          {
            "url": "https://www.explorium.ai/explorium-website-terms-of-use/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:49:59.834810876Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0267ad357a07"
          }
        ],
        "updatedAt": "2026-10-10T03:53:27.04258893Z"
      }
    },
    "answer": "People Data Labs scores 64.2 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 5 of 7 scored categories. Explorium AgentSource leads on schema \u0026 documentation and payments \u0026 pricing.",
    "b": {
      "slug": "people-data-labs",
      "name": "People Data Labs",
      "vendor": "People Data Labs, Inc.",
      "vendorUrl": "https://www.peopledatalabs.com",
      "kind": "http-api",
      "category": "lead-data",
      "summary": "People Data Labs sells person, company and job posting data through a REST API. Agents enrich a known person or company, resolve an identity, or search the datasets with Elasticsearch or SQL queries, using an API key.",
      "url": "https://www.anchorterminal.com/tools/people-data-labs",
      "markdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/people-data-labs.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/people-data-labs.json",
      "repo": "https://github.com/peopledatalabs/peopledatalabs-python",
      "license": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.peopledatalabs.com/v5",
      "packages": [
        {
          "registry": "pypi",
          "name": "peopledatalabs"
        },
        {
          "registry": "npm",
          "name": "peopledatalabs"
        },
        {
          "registry": "go",
          "name": "github.com/peopledatalabs/peopledatalabs-go"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve API key from the dashboard after a free signup, sent in the `X-Api-Key` header or as an `api_key` query parameter. Keys have no scopes. A Free account holds 1 active key, Pro 3 and Enterprise 5. Webhooks and data licence deliveries are arranged through sales.",
      "pricing": "freemium",
      "pricingNotes": "Free plan with up to 100 records a month and emails, phone numbers and addresses obfuscated. Pro starts at $98 a month for 350 person records or $100 for 1,000 company records, with 20 per cent off on annual terms. Enterprise is priced by sales. One credit per match or per search record returned, and requests without a match are not charged. The sandbox is free. Higher volume steps and field-bundle prices are shown in the dashboard only (https://www.peopledatalabs.com/pricing, https://docs.peopledatalabs.com/docs/create-an-account, checked 2026-10-08).",
      "priceSummary": "$98 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the pricing page or the Services Subscription Agreement (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 40,
        "npmWeekly": 132937,
        "pypiWeekly": 29514,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.peopledatalabs.com",
      "llmsTxt": "https://docs.peopledatalabs.com/llms.txt",
      "capabilities": [
        "lead.search",
        "lead.enrichment",
        "data.company",
        "data.person"
      ],
      "tags": [
        "lead-search",
        "enrichment",
        "hosted",
        "api-key",
        "free-tier",
        "sandbox",
        "llms-txt",
        "python",
        "javascript",
        "go",
        "ruby",
        "rust",
        "status-page",
        "soc2",
        "closed-source"
      ],
      "lastRelease": "2026-09-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.2,
        "grade": "B",
        "agentReady": false,
        "rank": 362,
        "ranked": true,
        "rankOf": 950,
        "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": "2026-10-10T03:53:37.746277058Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 590,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 592,
          "p95ms24h": 661,
          "samples24h": 209,
          "samples30d": 209,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 169
            },
            {
              "date": "2026-10-10",
              "probes": 40,
              "ok": 40
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.peopledatalabs.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-10T03:58:42.076228834Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "peopledatalabs/peopledatalabs-python",
            "version": "v6.4.13",
            "released": "2026-01-12",
            "seenAt": "2026-10-09T17:12:39.430504791Z"
          },
          {
            "registry": "npm",
            "name": "peopledatalabs",
            "version": "14.6.0",
            "seenAt": "2026-10-09T17:12:38.584315852Z"
          },
          {
            "registry": "pypi",
            "name": "peopledatalabs",
            "version": "6.4.13",
            "released": "2026-01-12",
            "seenAt": "2026-10-09T17:12:38.383724428Z"
          }
        ],
        "githubStars": 40,
        "npmWeekly": 108281,
        "pypiWeekly": 31343,
        "securityTxt": {
          "url": "https://peopledatalabs.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-09T15:39:43.754415599Z"
        },
        "llmsTxt": {
          "url": "https://docs.peopledatalabs.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-09T14:02:34.700546461Z"
        },
        "pages": [
          {
            "url": "https://docs.peopledatalabs.com/links/release-notes",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-09T18:38:00.274262431Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6878b79746c4"
          },
          {
            "url": "https://www.peopledatalabs.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-09T18:52:57.948129516Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6dbb06fe8460"
          },
          {
            "url": "https://privacy.peopledatalabs.com/policies?name=privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-09T18:43:59.00075126Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://privacy.peopledatalabs.com/policies?name=services-subscription-agreement",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-09T18:44:01.392386743Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          }
        ],
        "updatedAt": "2026-10-10T03:58:42.076228834Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Explorium Ltd.",
        "b": "People Data Labs, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://api.explorium.ai",
        "b": "https://api.peopledatalabs.com/v5",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP, Streamable HTTP, SSE (legacy)",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT",
        "b": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT",
        "name": "Licence"
      },
      {
        "a": "11",
        "b": "none",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-02",
        "b": "2026-09-16",
        "name": "Last release"
      },
      {
        "a": "2026-06-14",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "2026-06-28",
        "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": "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": "not found in the text",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "40 stars, 133k npm/wk, 30k PyPI/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "People Data Labs scores 64.2 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 5 of 7 scored categories. Explorium AgentSource leads on schema \u0026 documentation and payments \u0026 pricing.",
        "question": "Which is better for AI agents, Explorium AgentSource or People Data Labs?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Explorium AgentSource and People Data Labs need an API key?"
      },
      {
        "answer": "Yes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai and People Data Labs at https://api.peopledatalabs.com/v5.",
        "question": "Can an agent call Explorium AgentSource and People Data Labs without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 76 against 70",
          "Payments \u0026 pricing, 40 against 35"
        ],
        "also": null,
        "goodFor": "Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.",
        "slug": "explorium-agentsource",
        "watchFor": "No status page was found, and no SLA is published"
      },
      {
        "aheadOn": [
          "Reliability, 78 against 42",
          "Agent ergonomics, 77 against 63",
          "Security \u0026 auth, 43 against 37",
          "Maintenance \u0026 community, 79 against 28",
          "Transparency \u0026 trust, 67 against 59"
        ],
        "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-explorium-agentsource.json",
        "title": "Apollo API + MCP vs Explorium AgentSource",
        "url": "https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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-explorium-agentsource.json",
        "title": "Coresignal API + MCP vs Explorium AgentSource",
        "url": "https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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-explorium-agentsource.json",
        "title": "Crustdata API + MCP vs Explorium AgentSource",
        "url": "https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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-explorium-agentsource.json",
        "title": "Enrich Layer API + MCP vs Explorium AgentSource",
        "url": "https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource"
      },
      {
        "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/explorium-agentsource-vs-fullenrich.json",
        "title": "Explorium AgentSource vs FullEnrich API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.json",
        "title": "Explorium AgentSource vs Fuse MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.json",
        "title": "Explorium AgentSource vs Gojiberry",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.json",
        "title": "Explorium AgentSource vs Hunter API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.json",
        "title": "Explorium AgentSource vs LeadMagic API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.json",
        "title": "Explorium AgentSource vs Lusha API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.json",
        "title": "Explorium AgentSource vs Prospeo API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.json",
        "title": "Explorium AgentSource vs RocketReach API",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach"
      },
      {
        "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.json",
        "title": "Explorium AgentSource vs ZoomInfo API + MCP",
        "url": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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-rocketreach.json",
        "title": "People Data Labs vs RocketReach API",
        "url": "https://www.anchorterminal.com/compare/people-data-labs-vs-rocketreach"
      },
      {
        "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-explorium-agentsource.json",
        "title": "Dropcontact API + MCP vs Explorium AgentSource",
        "url": "https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource"
      },
      {
        "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": 36,
        "edge": "people-data-labs",
        "explorium-agentsource": 42,
        "key": "reliability",
        "name": "Reliability",
        "people-data-labs": 78,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 6,
        "edge": "explorium-agentsource",
        "explorium-agentsource": 76,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "people-data-labs": 70,
        "weight": 13
      },
      {
        "by": 14,
        "edge": "people-data-labs",
        "explorium-agentsource": 63,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "people-data-labs": 77,
        "weight": 13
      },
      {
        "by": 6,
        "edge": "people-data-labs",
        "explorium-agentsource": 37,
        "key": "security",
        "name": "Security \u0026 auth",
        "people-data-labs": 43,
        "weight": 14
      },
      {
        "by": 5,
        "edge": "explorium-agentsource",
        "explorium-agentsource": 40,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "people-data-labs": 35,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 51,
        "edge": "people-data-labs",
        "explorium-agentsource": 28,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "people-data-labs": 79,
        "weight": 7
      },
      {
        "by": 8,
        "edge": "people-data-labs",
        "explorium-agentsource": 59,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "people-data-labs": 67,
        "weight": 7
      }
    ],
    "summary": "People Data Labs scores 64.2 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 5 of 7 scored categories. Explorium AgentSource leads on schema \u0026 documentation and payments \u0026 pricing. Both do lead search.",
    "verdicts": {
      "explorium-agentsource": "AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.",
      "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/explorium-agentsource-vs-people-data-labs",
    "json": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.md",
    "slim": "https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.min.md"
  },
  "markdown": "People Data Labs scores 64.2 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 5 of 7 scored categories. Explorium AgentSource leads on schema \u0026 documentation and payments \u0026 pricing. Both do lead search.\n\n- Explorium AgentSource: grade D, 48.1/100, rank #821 of 950. Markdown https://www.anchorterminal.com/tools/explorium-agentsource.md · JSON https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json\n- People Data Labs: grade B, 64.2/100, rank #362 of 950. Markdown https://www.anchorterminal.com/tools/people-data-labs.md · JSON https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n- Best lead, contact and company data APIs for AI agents: https://www.anchorterminal.com/best/lead-data/index.md\n- All 120 leads comparisons: https://www.anchorterminal.com/compare/lead-data/index.md\n\n## Which one, for what\n\n### Explorium AgentSource (D)\n\nGood for: Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.\n\nAhead on:\n- Schema \u0026 documentation, 76 against 70\n- Payments \u0026 pricing, 40 against 35\n\nWatch for: No status page was found, and no SLA is published\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 42\n- Agent ergonomics, 77 against 63\n- Security \u0026 auth, 43 against 37\n- Maintenance \u0026 community, 79 against 28\n- Transparency \u0026 trust, 67 against 59\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 | Explorium AgentSource | People Data Labs | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 42 | 78 | People Data Labs +36 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 76 | 70 | Explorium AgentSource +6 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 77 | People Data Labs +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 37 | 43 | People Data Labs +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 35 | Explorium AgentSource +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 28 | 79 | People Data Labs +51 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 67 | People Data Labs +8 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **48.1 · D** | **64.2 · B** | |\n\n## Facts side by side\n\n| Fact | Explorium AgentSource | People Data Labs |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Explorium Ltd. | People Data Labs, Inc. |\n| Hosted endpoint | `https://api.explorium.ai` | `https://api.peopledatalabs.com/v5` |\n| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT |\n| Tools exposed | 11 | none |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-02 | 2026-09-16 |\n| Terms last updated | 2026-06-14 | couldn't be read |\n| Privacy policy last updated | 2026-06-28 | couldn't be read |\n| Customer content may train models | not found in the text | 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 | not found in the text | couldn't be read |\n| Popularity | none | 40 stars, 133k npm/wk, 30k PyPI/wk |\n\n## Verdicts\n\n**Explorium AgentSource.** AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.\n\n**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### Explorium AgentSource\n\n1. Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated\n2. Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`\n3. Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50\n4. Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter\n5. Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request\n\n### 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, Explorium AgentSource or People Data Labs?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 5 of 7 scored categories. Explorium AgentSource leads on schema \u0026 documentation and payments \u0026 pricing.\n\n### Do Explorium AgentSource and People Data Labs need an API key?\n\nBoth need an API key.\n\n### Can an agent call Explorium AgentSource and People Data Labs without installing anything?\n\nYes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai 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/explorium-agentsource-vs-people-data-labs.json, and with the fewest tokens: https://www.anchorterminal.com/compare/explorium-agentsource-vs-people-data-labs.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"explorium-agentsource\", \"b\": \"people-data-labs\"}`. From a terminal: `anchor compare explorium-agentsource people-data-labs`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json and https://www.anchorterminal.com/api/v1/tools/people-data-labs.json\n\n## Other comparisons with Explorium AgentSource or People Data Labs\n\n- [Apollo API + MCP vs Explorium AgentSource](https://www.anchorterminal.com/compare/apollo-vs-explorium-agentsource.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 Explorium AgentSource](https://www.anchorterminal.com/compare/coresignal-vs-explorium-agentsource.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 Explorium AgentSource](https://www.anchorterminal.com/compare/crustdata-vs-explorium-agentsource.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 Explorium AgentSource](https://www.anchorterminal.com/compare/enrich-layer-vs-explorium-agentsource.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [Explorium AgentSource vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.md)\n- [Explorium AgentSource vs Fuse MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-fuse-mcp.md)\n- [Explorium AgentSource vs Gojiberry](https://www.anchorterminal.com/compare/explorium-agentsource-vs-gojiberry.md)\n- [Explorium AgentSource vs Hunter API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-hunter.md)\n- [Explorium AgentSource vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-leadmagic.md)\n- [Explorium AgentSource vs Lusha API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-lusha.md)\n- [Explorium AgentSource vs Prospeo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-prospeo.md)\n- [Explorium AgentSource vs RocketReach API](https://www.anchorterminal.com/compare/explorium-agentsource-vs-rocketreach.md)\n- [Explorium AgentSource vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/explorium-agentsource-vs-zoominfo.md)\n- [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 RocketReach API](https://www.anchorterminal.com/compare/people-data-labs-vs-rocketreach.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 Explorium AgentSource](https://www.anchorterminal.com/compare/dropcontact-vs-explorium-agentsource.md)\n- [Dropcontact API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.md)\n",
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