{
  "name": "dataplor",
  "slug": "dataplor",
  "website_url": "https://www.dataplor.com",
  "vendor_description": "\"Global location data for better business decisions\"",
  "categories": [
    "places"
  ],
  "summary": "dataplor is a global location intelligence provider, founded in 2016, offering POI datasets, foot traffic data, polygon data, and brand intelligence across 250+ countries and territories for use cases such as site selection, competitive analysis, and supply chain optimization. Pricing is not published and requires a sales engagement. The platform is GDPR-compliant and counts American Express, PayPal, Google, Uber Eats, and Wolt among its customers. Data is licensed for internal use only, with redistribution, competitive use, and AI/ML training explicitly prohibited.",
  "capabilities": {
    "supported_actions": [
      "global POI dataset delivery",
      "foot traffic data delivery",
      "brand intelligence",
      "polygon data",
      "market analytics via Global Platform",
      "visual location intelligence"
    ],
    "supported_regions": [
      "250+ countries and territories",
      "global"
    ],
    "supported_languages": [],
    "input_types": [
      "geographic area / country / region",
      "industry / category filter",
      "brand filter"
    ],
    "output_types": [
      "pre-structured standardized data files",
      "visual analytics platform"
    ],
    "webhooks_supported": false,
    "sandbox_available": false,
    "sdk_languages": [],
    "mcp_server_available": false
  },
  "integration": {
    "api_style": null,
    "base_url": null,
    "api_version": null,
    "versioning_scheme": null,
    "stability": null,
    "deprecation_policy_url": null,
    "auth_methods": [],
    "auth_docs_url": null,
    "idempotency_supported": null,
    "error_format": null,
    "webhook_signing": null,
    "webhook_events_url": null,
    "rate_limit_requests": null,
    "rate_limit_window": null,
    "sdk_packages": [],
    "mcp_url": null,
    "quickstart_url": null
  },
  "pricing": {
    "pricing_model": "contact_sales",
    "has_published_pricing": false,
    "starting_price_usd": null,
    "price_basis": null,
    "free_tier_available": false,
    "free_tier_limit": null,
    "free_tier_details": null,
    "minimum_commitment": null,
    "self_serve_signup": false,
    "requires_sales_call": true,
    "requires_verification": true,
    "enterprise_plan_available": null,
    "price_points": []
  },
  "compliance": {
    "soc2": null,
    "hipaa": null,
    "gdpr": true,
    "iso_27001": null,
    "pci_dss": null,
    "sla_published": false,
    "sla_url": "https://www.dataplor.com/sample-primary-services-agreement/",
    "data_retention_policy_url": "https://www.dataplor.com/privacy-policy/",
    "documented_rate_limits": null,
    "known_restrictions": [
      "Internal use only - data may only be used to create internal models, analyses, and reports",
      "Redistribution prohibited - customer shall not sell, resell, distribute, license, sublicense, rent, lease, or otherwise make datasets available to any third party",
      "Competitive use banned - data may not be used to provide data-as-a-service, location intelligence services, or any offering that competes with dataplor",
      "No public exposure - records may not be published or exposed via APIs, public dashboards, or publicly accessible tools",
      "AI/ML training prohibited - records may not be used to train, fine-tune, validate, benchmark, or enhance any machine learning or AI model",
      "No open-source/public corpus contribution - records may not be uploaded to open-source datasets, public corpora, or data cooperatives",
      "License is non-exclusive, non-transferable, non-sublicensable",
      "Post-subscription retention only if expressly granted in Order Form"
    ]
  },
  "developer": {
    "docs_url": null,
    "api_reference_url": null,
    "openapi_spec_url": null,
    "postman_collection_url": null,
    "changelog_url": null,
    "status_page_url": null,
    "llms_txt_url": "https://www.dataplor.com/llms.txt",
    "markdown_docs_url": null,
    "rendering": "static"
  },
  "adoption": {
    "launched_at": "2016-01-01",
    "ga_date": null,
    "github_stars": null,
    "github_stars_at": null,
    "notable_customers": [
      "American Express",
      "iZettle",
      "PayPal",
      "Google",
      "Uber Eats",
      "iFood",
      "Wolt"
    ]
  },
  "scores": {
    "agent_friendliness": 35,
    "pricing_transparency": 0,
    "setup_speed": 0,
    "docs_quality": 10,
    "procurement_friction": 0,
    "trust_readiness": 15,
    "best_for": [
      "AI agents and automation - an agent-ready surface (MCP / llms.txt)"
    ],
    "avoid_if": [
      "You need to start building today without contacting sales",
      "You need transparent pricing up front",
      "You want to try it free before paying"
    ]
  },
  "sources": [
    {
      "field": "mcp_server_available",
      "url": "https://www.dataplor.com",
      "excerpt": "Global location data for better business decisions",
      "confidence": "high"
    },
    {
      "field": "vendor_description",
      "url": "https://www.dataplor.com",
      "excerpt": "Global location data for better business decisions",
      "confidence": "high"
    },
    {
      "field": "supported_regions",
      "url": "https://www.dataplor.com",
      "excerpt": "370+ million locations. 250+ countries and territories",
      "confidence": "high"
    },
    {
      "field": "supported_regions",
      "url": "https://datarade.ai/data-providers/dataplor/profile",
      "excerpt": "350M+ global Point of Interest (POI) data across 250+ countries and territories",
      "confidence": "high"
    },
    {
      "field": "supported_actions",
      "url": "https://www.dataplor.com/location-data/",
      "excerpt": "Point of Interest (POI)...Foot Traffic...Brands...Polygons",
      "confidence": "high"
    },
    {
      "field": "supported_actions",
      "url": "https://www.dataplor.com/solutions/global-platform/",
      "excerpt": "same-store performance, market momentum, category metrics, new business openings, closures, foot traffic patterns, neighborhood comparisons, and business proximity analysis",
      "confidence": "high"
    },
    {
      "field": "pricing_model",
      "url": "https://datarade.ai/data-providers/dataplor/profile",
      "excerpt": "Pricing Model: Custom pricing available through contact",
      "confidence": "high"
    },
    {
      "field": "pricing_model",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "Get a free data sample, Book a demo, Discuss the best solution for your team",
      "confidence": "high"
    },
    {
      "field": "has_published_pricing",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "Get a free data sample. Book a demo. Discuss the best solution for your team.",
      "confidence": "high"
    },
    {
      "field": "has_published_pricing",
      "url": "https://datarade.ai/data-providers/dataplor/profile",
      "excerpt": "The supported pricing models for dataplor's data are available by getting in contact with them via Datarade",
      "confidence": "high"
    },
    {
      "field": "free_tier_available",
      "url": "https://www.dataplor.com/requestsample/",
      "excerpt": "Get a free data sample",
      "confidence": "high"
    },
    {
      "field": "sandbox_available",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "Get a free data sample. Book a demo. Discuss the best solution for your team.",
      "confidence": "high"
    },
    {
      "field": "self_serve_signup",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "Get a free data sample. Book a demo. Discuss the best solution for your team.",
      "confidence": "high"
    },
    {
      "field": "requires_sales_call",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "Book a demo. Discuss the best solution for your team.",
      "confidence": "high"
    },
    {
      "field": "gdpr",
      "url": "https://datarade.ai/data-providers/dataplor/profile",
      "excerpt": "GDPR and CCPA compliant; No PII collected or used",
      "confidence": "high"
    },
    {
      "field": "gdpr",
      "url": "https://www.dataplor.com/solutions/global-dataset/",
      "excerpt": "fully anonymized and aggregated foot traffic signals",
      "confidence": "high"
    },
    {
      "field": "gdpr",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Each party will comply with applicable data protection and privacy laws in performing the agreement.",
      "confidence": "high"
    },
    {
      "field": "soc2",
      "url": "https://www.dataplor.com/privacy-policy/",
      "excerpt": "European residents can access, correct, update, or delete personal information.",
      "confidence": "high"
    },
    {
      "field": "soc2",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Dataplor shall implement commercially reasonable technical and organizational measures designed to protect the security, confidentiality, and integrity of the Services",
      "confidence": "high"
    },
    {
      "field": "sla_published",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Unless otherwise specified in an Order Form, Dataplor shall provide support and SLAs in accord with any standard SLA exhibit incorporated into this Agreement.",
      "confidence": "high"
    },
    {
      "field": "known_restrictions",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Customer may only create internal models, analyses, reports, and other outputs that are derived from or incorporate insights from the Records",
      "confidence": "high"
    },
    {
      "field": "known_restrictions",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Customer shall not...Sell, resell, distribute, license, sublicense, rent, lease, or otherwise make the Services, Platform, Datasets, or Records available to any third party",
      "confidence": "high"
    },
    {
      "field": "known_restrictions",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "use Records to train, fine-tune, validate, benchmark, or otherwise enhance any machine learning or AI model (including LLMs and foundation models)",
      "confidence": "high"
    },
    {
      "field": "output_types",
      "url": "https://www.dataplor.com/solutions/global-dataset/",
      "excerpt": "Pre-structured, standardized data files",
      "confidence": "high"
    },
    {
      "field": "output_types",
      "url": "https://www.dataplor.com/solutions/global-platform/",
      "excerpt": "interactive map-based visualization",
      "confidence": "high"
    },
    {
      "field": "webhooks_supported",
      "url": "https://www.dataplor.com/solutions/global-platform/",
      "excerpt": "Reporting and integration capabilities with enterprise systems",
      "confidence": "medium"
    },
    {
      "field": "launched_at",
      "url": "https://techcrunch.com/2019/07/24/dataplor-raises-2m-to-digitize-small-businesses-in-latin-america/",
      "excerpt": "Dataplor is a platform that indexes micro businesses in emerging markets. The company was founded in 2016.",
      "confidence": "high"
    },
    {
      "field": "notable_customers",
      "url": "https://techcrunch.com/2019/07/24/dataplor-raises-2m-to-digitize-small-businesses-in-latin-america/",
      "excerpt": "Dataplor digitizes small business information and licenses that data to third parties... Notable customers named: American Express, iZettle, PayPal, Google (partnership to digitize Mexico).",
      "confidence": "high"
    },
    {
      "field": "requires_verification",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Fees for Data Services and one-time Deliverables are invoiced on execution of the Order Form; Recurring subscription fees for Platform Services and recurring Data Services are invoiced annually in advance.",
      "confidence": "high"
    },
    {
      "field": "sla_url",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Unless otherwise specified in an Order Form, Dataplor shall provide support and SLAs in accord with any standard SLA exhibit incorporated into this Agreement.",
      "confidence": "medium"
    },
    {
      "field": "api_style",
      "url": "https://www.dataplor.com/sample-primary-services-agreement/",
      "excerpt": "Data Services as 'one-time or recurring delivery of Datasets and Records (e.g., bulk country files, refreshes, feeds)' — no REST/GraphQL/gRPC API endpoint structure documented publicly.",
      "confidence": "low"
    },
    {
      "field": "launched_at",
      "url": "https://tracxn.com/d/companies/dataplor/__b08bGl0sMSkEyraNDO2OnMFkldgzeryNpTgh5Zc9w9M",
      "excerpt": "AI powered location intelligence and analytics solutions. Founded: 2016.",
      "confidence": "high"
    },
    {
      "field": "notable_customers",
      "url": "https://www.dataplor.com/resources/case-studies/how-wolt-strengthened-their-selection-insights-with-dataplor/",
      "excerpt": "Wolt selected dataplor after evaluating multiple vendors, prioritizing 'data coverage, accuracy, attributes and most importantly, data quality.' The partnership yielded... expansion of Wolt's market by nearly 40% in certain markets.",
      "confidence": "high"
    },
    {
      "field": "requires_verification",
      "url": "https://www.dataplor.com/contact/",
      "excerpt": "The page provides general contact pathways: 'Get a free data sample', 'Book a demo', 'Discuss the best solution for your team'. No self-serve API signup or public pricing disclosed.",
      "confidence": "high"
    },
    {
      "field": "data_retention_policy_url",
      "url": "https://www.dataplor.com/privacy-policy/",
      "excerpt": "European residents can access, correct, update, or delete personal information.",
      "confidence": "high"
    },
    {
      "field": "starting_price_usd",
      "url": "https://datarade.ai/data-providers/dataplor/profile",
      "excerpt": "Model: Custom pricing available by contacting the provider. Annual subscriptions supported. Contact required for quotes, fees, and specific use-case pricing.",
      "confidence": "low"
    }
  ],
  "fields_not_found": [
    "specific file delivery formats (CSV/JSON/GeoJSON/Shapefile)",
    "API endpoints or API reference",
    "SDK languages",
    "rate limits",
    "SLA / uptime commitment (metrics not published)",
    "SOC 2 certification",
    "ISO 27001 certification",
    "HIPAA compliance",
    "PCI DSS compliance",
    "enterprise plan name/tiers",
    "sandbox/test environment",
    "webhooks",
    "minimum spend commitment",
    "exact pricing or plan prices",
    "api_style",
    "base_url",
    "api_version",
    "versioning_scheme",
    "stability",
    "auth_methods",
    "auth_docs_url",
    "quickstart_url",
    "deprecation_policy_url",
    "sdk_packages",
    "mcp_url",
    "idempotency_supported",
    "error_format",
    "webhook_signing",
    "webhook_events_url",
    "rate_limit_requests",
    "rate_limit_window",
    "starting_price_usd",
    "price_basis",
    "free_tier_limit",
    "ga_date"
  ],
  "source_confidence": "high",
  "last_verified_at": "2026-06-14T00:00:00.000Z",
  "contribute": {
    "note": "This data is crowd-editable. Suggest corrections or leave a review via these endpoints - no auth required, requests are rate-limited, and every submission is reviewed before it goes live. For a field edit, {field} is any key in this response and a citation is required.",
    "endpoints": [
      {
        "action": "review",
        "label": "Leave a review or comment",
        "method": "POST",
        "url": "https://apio.sh/api/feedback/dataplor",
        "example_body": {
          "kind": "review",
          "rating": 5,
          "body": "Your experience with this API…"
        }
      },
      {
        "action": "field_edit",
        "label": "Suggest a correction to a field (cite a source)",
        "method": "POST",
        "url": "https://apio.sh/api/suggest/dataplor/{field}",
        "example_body": {
          "value": "corrected value",
          "citations": [
            {
              "url": "https://source.example/page",
              "excerpt": "supporting quote"
            }
          ],
          "note": "what changed and why"
        }
      },
      {
        "action": "new_api",
        "label": "Suggest a new API to add",
        "method": "POST",
        "url": "https://apio.sh/api/suggest/api",
        "example_body": {
          "value": {
            "name": "Acme API",
            "website_url": "https://acme.example"
          },
          "citations": [
            {
              "url": "https://acme.example"
            }
          ]
        }
      },
      {
        "action": "token",
        "label": "Optional - raise your rate limit",
        "method": "GET",
        "url": "https://apio.sh/api/feedback/token"
      }
    ]
  }
}