{
  "data": {
    "a": {
      "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"
      }
    },
    "answer": "People Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing.",
    "b": {
      "slug": "prospeo",
      "name": "Prospeo API + MCP",
      "vendor": "Prospeo",
      "vendorUrl": "https://prospeo.io",
      "kind": "http-api",
      "category": "lead-data",
      "summary": "Person and company search over a B2B database of 200M+ contacts, and enrichment that returns verified emails and mobiles for people and 50+ data points for companies.",
      "url": "https://www.anchorterminal.com/tools/prospeo",
      "markdownUrl": "https://www.anchorterminal.com/tools/prospeo.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prospeo.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prospeo.json",
      "repo": "https://github.com/prospeo-v2/prospeo-mcp-server",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http",
        "stdio"
      ],
      "remoteUrl": "https://api.prospeo.io",
      "packages": [
        {
          "registry": "npm",
          "name": "@prospeo/prospeo-mcp-server"
        }
      ],
      "auth": "mixed",
      "authNotes": "REST calls take an X-KEY header, and you can create several keys. The hosted MCP server at https://mcp.prospeo.io accepts OAuth or the same X-KEY header. The local npm server reads PROSPEO_API_KEY.",
      "pricing": "freemium",
      "pricingNotes": "Free plan with 100 credits a month. Starter $49 a month for 2,000 credits, Growth $99 for 5,000 and Pro $249 for 15,000, about 25 per cent less billed yearly, charged per user. Credits reset each cycle. Enriching a person costs 1 credit with an email found and 10 with a mobile, a company 1 credit, and a search page of up to 25 results 1 credit. Re-enriching within 90 days is free (https://prospeo.io/pricing).",
      "priceSummary": "$49 / mo",
      "where": "both",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": 8,
      "popularity": {
        "githubStars": 0,
        "npmWeekly": 641,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://prospeo.io/api-docs",
      "registryName": "io.prospeo/prospeo-mcp-server",
      "capabilities": [
        "lead.search",
        "lead.enrichment",
        "email.finder",
        "data.person",
        "data.company"
      ],
      "tags": [
        "hosted",
        "freemium",
        "mcp",
        "local",
        "typescript",
        "closed-source",
        "lead-search",
        "enrichment"
      ],
      "lastRelease": "2026-06-01",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 50.9,
        "grade": "D",
        "agentReady": false,
        "rank": 680,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 12,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 79,
          "maintenance": 34,
          "payments": 40,
          "reliability": 35,
          "schema": 61,
          "security": 54,
          "transparency": 42
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "MCP tool descriptions say when to use each tool, its credit cost and the next call. No status page, SLA or changelog.",
        "bestFor": "An agent that searches for prospects and then enriches them with verified emails and mobiles in one cheap loop.",
        "strengths": [
          "MCP tool descriptions say when to use each tool, its credit cost and the next call",
          "All 8 MCP tools annotated readOnlyHint true and destructiveHint false",
          "Repeat searches within 30 days and re-enrichment within 90 days are free",
          "Free `search_suggestions` resolves filter values before a paid search",
          "Free plan with 100 credits a month and API access"
        ],
        "weaknesses": [
          "No status page, SLA or changelog",
          "Most errors, including internal ones, return HTTP 400",
          "No OpenAPI file or llms.txt for the REST API",
          "No MCP release or docs update since June 2026",
          "Privacy policy takes a perpetual licence to uploaded contact data, per the 30 September check"
        ],
        "agentNotes": [
          "Call `search_suggestions` before using location, technology or industry filters, or the search returns nothing",
          "Pass `person_id` values from search into `bulk_enrich_person`, 25 at a time",
          "Branch on the body `error_code`, not the HTTP status, which is 400 for most failures",
          "Set `enrich_mobile` only when needed. A mobile costs 10 credits against 1 for an email",
          "Use Enrich Person. The old Email Finder endpoint was removed in March 2026"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "D",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 50.9
          }
        ],
        "editorialScores": {
          "ergonomics": 79,
          "maintenance": 34,
          "payments": 40,
          "reliability": 35,
          "schema": 61,
          "security": 54,
          "transparency": 34
        },
        "provenanceScore": 49
      },
      "connect": {
        "http": "curl https://api.prospeo.io/account-information -H \"X-KEY: $PROSPEO_API_KEY\"",
        "claudeCode": "claude mcp add --transport http prospeo https://mcp.prospeo.io",
        "config": {
          "mcpServers": {
            "prospeo": {
              "args": [
                "-y",
                "@prospeo/prospeo-mcp-server"
              ],
              "command": "npx",
              "env": {
                "PROSPEO_API_KEY": "${PROSPEO_API_KEY}"
              }
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/lead.search",
        "tool": "https://letme.dev/prospeo"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Starter",
          "unit": "month",
          "usd": 49,
          "note": "2,000 credits, per user"
        },
        {
          "item": "Growth",
          "unit": "month",
          "usd": 99,
          "note": "5,000 credits, per user"
        },
        {
          "item": "Pro",
          "unit": "month",
          "usd": 249,
          "note": "15,000 credits, per user"
        }
      ],
      "provenance": {
        "legalEntity": "Defastra Tech Inc.",
        "domain": "prospeo.io",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://prospeo.io/terms-of-service",
        "privacy": "https://prospeo.io/privacy-policy",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-02",
        "notes": [
          "Prospeo is a trading name of Defastra Tech Inc. per the privacy policy. RDAP has no record for .io domains.",
          "status.prospeo.io doesn't resolve, and the API docs link no status page. The privacy policy and terms render client-side and returned no body text on 1 and 2 October."
        ],
        "score": 49
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/prospeo.json",
      "live": {
        "slug": "prospeo",
        "probe": {
          "target": "https://api.prospeo.io",
          "method": "get",
          "lastAt": "2026-10-09T11:46:37.938369993Z",
          "lastOk": true,
          "lastStatus": 429,
          "lastMs": 29,
          "lastNote": "rate limited",
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 28,
          "p95ms24h": 57,
          "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
            }
          ]
        },
        "versions": [
          {
            "registry": "mcp-registry",
            "name": "io.prospeo/prospeo-mcp-server",
            "version": "1.1.0",
            "seenAt": "2026-10-09T02:57:46.004536428Z"
          },
          {
            "registry": "npm",
            "name": "@prospeo/prospeo-mcp-server",
            "version": "1.1.0",
            "seenAt": "2026-10-08T16:26:27.066355038Z"
          }
        ],
        "githubStars": 0,
        "npmWeekly": 679,
        "securityTxt": {
          "url": "https://prospeo.io/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:05.947666218Z"
        },
        "domain": {
          "domain": "prospeo.io",
          "checkedAt": "2026-10-04T13:04:37.89691693Z"
        },
        "pages": [
          {
            "url": "https://prospeo.io/api-docs/email-finder",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-08T18:23:26.123965147Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "31857220e7cb"
          },
          {
            "url": "https://prospeo.io/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:28.536763236Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "7a2b15d0bd55"
          },
          {
            "url": "https://prospeo.io/privacy-policy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-08T18:23:30.169046939Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "474d26a8c22c"
          },
          {
            "url": "https://prospeo.io/terms-of-service",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-08T18:23:32.506952785Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "65c942c41696"
          }
        ],
        "updatedAt": "2026-10-09T11:46:37.938369993Z"
      }
    },
    "facts": [
      {
        "a": "HTTP API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "People Data Labs, Inc.",
        "b": "Prospeo",
        "name": "Vendor"
      },
      {
        "a": "https://api.peopledatalabs.com/v5",
        "b": "https://api.prospeo.io",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP, Streamable HTTP, stdio",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Freemium",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT",
        "b": "MIT",
        "name": "Licence"
      },
      {
        "a": "none",
        "b": "8",
        "name": "Tools exposed"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "not listed",
        "b": "io.prospeo/prospeo-mcp-server",
        "name": "MCP registry"
      },
      {
        "a": "2026-09-16",
        "b": "2026-06-01",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "40 stars, 133k npm/wk, 30k PyPI/wk",
        "b": "0 stars, 641 npm/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3.5/5 (2)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "People Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing.",
        "question": "Which is better for AI agents, People Data Labs or Prospeo API + MCP?"
      },
      {
        "answer": "People Data Labs needs an API key. Prospeo API + MCP takes an API key or an OAuth sign-in.",
        "question": "Do People Data Labs and Prospeo API + MCP need an API key?"
      },
      {
        "answer": "Yes. People Data Labs has a hosted endpoint at https://api.peopledatalabs.com/v5 and Prospeo API + MCP at https://api.prospeo.io.",
        "question": "Can an agent call People Data Labs and Prospeo API + MCP without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 78 against 35",
          "Schema \u0026 documentation, 70 against 61",
          "Maintenance \u0026 community, 79 against 34",
          "Transparency \u0026 trust, 67 against 42"
        ],
        "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"
      },
      {
        "aheadOn": [
          "Security \u0026 auth, 54 against 43",
          "Payments \u0026 pricing, 40 against 35"
        ],
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          "Runs on your own machine"
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        "json": "https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs.json",
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        "json": "https://www.anchorterminal.com/compare/coresignal-vs-prospeo.json",
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      },
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    "scores": [
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        "by": 43,
        "edge": "people-data-labs",
        "key": "reliability",
        "name": "Reliability",
        "people-data-labs": 78,
        "prospeo": 35,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "edge": "people-data-labs",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "people-data-labs": 70,
        "prospeo": 61,
        "weight": 13
      },
      {
        "by": 2,
        "edge": "prospeo",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "people-data-labs": 77,
        "prospeo": 79,
        "weight": 13
      },
      {
        "by": 11,
        "edge": "prospeo",
        "key": "security",
        "name": "Security \u0026 auth",
        "people-data-labs": 43,
        "prospeo": 54,
        "weight": 14
      },
      {
        "by": 5,
        "edge": "prospeo",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "people-data-labs": 35,
        "prospeo": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 45,
        "edge": "people-data-labs",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "people-data-labs": 79,
        "prospeo": 34,
        "weight": 7
      },
      {
        "by": 25,
        "edge": "people-data-labs",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "people-data-labs": 67,
        "prospeo": 42,
        "weight": 7
      }
    ],
    "summary": "People Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search.",
    "verdicts": {
      "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.",
      "prospeo": "MCP tool descriptions say when to use each tool, its credit cost and the next call. No status page, SLA or changelog."
    }
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  "markdown": "People Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search.\n\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- Prospeo API + MCP: grade D, 50.9/100, rank #680 of 842. Markdown https://www.anchorterminal.com/tools/prospeo.md · JSON https://www.anchorterminal.com/api/v1/tools/prospeo.json\n\n## Which one, for what\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 35\n- Schema \u0026 documentation, 70 against 61\n- Maintenance \u0026 community, 79 against 34\n- Transparency \u0026 trust, 67 against 42\n\nWatch for: No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings\n\n### Prospeo API + MCP (D)\n\nGood for: An agent that searches for prospects and then enriches them with verified emails and mobiles in one cheap loop.\n\nAhead on:\n- Security \u0026 auth, 54 against 43\n- Payments \u0026 pricing, 40 against 35\n\nAlso in its favour:\n- Runs on your own machine\n\nWatch for: No status page, SLA or changelog\n\n\n## Score by category\n\n| Category | Weight | People Data Labs | Prospeo API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 78 | 35 | People Data Labs +43 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 61 | People Data Labs +9 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 79 | Prospeo API + MCP +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 43 | 54 | Prospeo API + MCP +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 40 | Prospeo API + MCP +5 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 79 | 34 | People Data Labs +45 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 42 | People Data Labs +25 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.2 · B** | **50.9 · D** | |\n\n## Facts side by side\n\n| Fact | People Data Labs | Prospeo API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | People Data Labs, Inc. | Prospeo |\n| Hosted endpoint | `https://api.peopledatalabs.com/v5` | `https://api.prospeo.io` |\n| Transports | HTTP | HTTP, Streamable HTTP, stdio |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT | MIT |\n| Tools exposed | none | 8 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | not listed | `io.prospeo/prospeo-mcp-server` |\n| Last release | 2026-09-16 | 2026-06-01 |\n| Terms last updated | couldn't be read | couldn't be read |\n| Privacy policy last updated | couldn't be read | couldn't be read |\n| Customer content may train models | couldn't be read | couldn't be read |\n| Terms restrict automated access | couldn't be read | couldn't be read |\n| Terms restrict benchmarking | couldn't be read | couldn't be read |\n| Terms or service can change without notice | couldn't be read | couldn't be read |\n| Arbitration or class-action waiver | couldn't be read | couldn't be read |\n| Popularity | 40 stars, 133k npm/wk, 30k PyPI/wk | 0 stars, 641 npm/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\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**Prospeo API + MCP.** MCP tool descriptions say when to use each tool, its credit cost and the next call. No status page, SLA or changelog.\n\n## Before you call either\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### Prospeo API + MCP\n\n1. Call `search_suggestions` before using location, technology or industry filters, or the search returns nothing\n2. Pass `person_id` values from search into `bulk_enrich_person`, 25 at a time\n3. Branch on the body `error_code`, not the HTTP status, which is 400 for most failures\n4. Set `enrich_mobile` only when needed. A mobile costs 10 credits against 1 for an email\n5. Use Enrich Person. The old Email Finder endpoint was removed in March 2026\n\n## Questions\n\n### Which is better for AI agents, People Data Labs or Prospeo API + MCP?\n\nPeople Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing.\n\n### Do People Data Labs and Prospeo API + MCP need an API key?\n\nPeople Data Labs needs an API key. Prospeo API + MCP takes an API key or an OAuth sign-in.\n\n### Can an agent call People Data Labs and Prospeo API + MCP without installing anything?\n\nYes. People Data Labs has a hosted endpoint at https://api.peopledatalabs.com/v5 and Prospeo API + MCP at https://api.prospeo.io.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.json, and with the fewest tokens: https://www.anchorterminal.com/compare/people-data-labs-vs-prospeo.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"people-data-labs\", \"b\": \"prospeo\"}`. From a terminal: `anchor compare people-data-labs prospeo`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/people-data-labs.json and https://www.anchorterminal.com/api/v1/tools/prospeo.json\n\n## Other comparisons with People Data Labs or Prospeo API + MCP\n\n- [Apollo API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/apollo-vs-people-data-labs.md)\n- [Apollo API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-prospeo.md)\n- [Coresignal API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/coresignal-vs-people-data-labs.md)\n- [Coresignal API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-prospeo.md)\n- [Crustdata API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/crustdata-vs-people-data-labs.md)\n- [Crustdata API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-prospeo.md)\n- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)\n- [Enrich Layer API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)\n- [FullEnrich API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/fullenrich-vs-people-data-labs.md)\n- [FullEnrich API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-prospeo.md)\n- [Fuse MCP vs People Data Labs](https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.md)\n- [Fuse MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-prospeo.md)\n- [Gojiberry vs People Data Labs](https://www.anchorterminal.com/compare/gojiberry-vs-people-data-labs.md)\n- [Gojiberry vs Prospeo API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-prospeo.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- [LeadMagic API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/leadmagic-vs-prospeo.md)\n- [Lusha API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/lusha-vs-people-data-labs.md)\n- [Lusha API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/lusha-vs-prospeo.md)\n- [People Data Labs vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.md)\n- [Prospeo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/prospeo-vs-zoominfo.md)\n- [Dropcontact API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/dropcontact-vs-people-data-labs.md)\n- [Dropcontact API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-prospeo.md)\n- [Hunter API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/hunter-vs-prospeo.md)\n",
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        "name": "People Data Labs vs Prospeo API + MCP",
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    "description": "People Data Labs scores 64.2 (B) on agent readiness against Prospeo API + MCP's 50.9 (D), and leads in 4 of 7 scored categories. Prospeo API + MCP leads on security \u0026 auth and payments \u0026 pricing. Both do lead search. Category scores, facts, verdicts and agent notes side by side.",
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