dataplor

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

• ███▒░░░░░░
  35 / 100
  Agent friendliness
• ░░░░░░░░░░
  0 / 100
  Pricing transparency
• ░░░░░░░░░░
  0 / 100
  Setup speed
• █░░░░░░░░░
  10 / 100
  Docs quality
• ░░░░░░░░░░
  0 / 100
  Procurement ease
• █▒░░░░░░░░
  15 / 100
  Trust readiness

Scores are computed deterministically from this profile's published, sourced fields (pricing, compliance, capabilities, docs and developer-surface signals) - not from reviews or paid placement. Each axis is 0-100; an unknown signal scores 0 for that axis. Procurement ease is the inverse of buying friction (higher = easier to adopt).

Pricing model

Contact sales [2]datarade.ai/data-providers/dataplor/profile“Pricing Model: Custom pricing available through contact”dataplor.com/contact/“Get a free data sample, Book a demo, Discuss the best solution for your team”

Published pricing

✗ No [3]dataplor.com/contact/“Get a free data sample. Book a demo. Discuss the best solution for your team.”datarade.ai/data-providers/dataplor/profile“The supported pricing models for dataplor's data are available by getting in contact with them via Datarade”

Free tier

✗ No [4]dataplor.com/requestsample/“Get a free data sample”

Self-serve signup

✗ No [5]dataplor.com/contact/“Get a free data sample. Book a demo. Discuss the best solution for your team.”

Requires sales call

✓ Yes [6]dataplor.com/contact/“Book a demo. Discuss the best solution for your team.”

Enterprise plan

– Unknown

• POI search

Supported actions

global POI dataset delivery, foot traffic data delivery, brand intelligence, polygon data, market analytics via Global Platform, visual location intelligence [7]dataplor.com/location-data/“Point of Interest (POI)...Foot Traffic...Brands...Polygons”dataplor.com/solutions/global-platform/“same-store performance, market momentum, category metrics, new business openings, closures, foot traffic patterns, neighborhood comparisons, and business proximity analysis”

Regions

250+ countries and territories, global [8]dataplor.com“370+ million locations. 250+ countries and territories”datarade.ai/data-providers/dataplor/profile“350M+ global Point of Interest (POI) data across 250+ countries and territories”

Input types

geographic area / country / region, industry / category filter, brand filter

Output types

pre-structured standardized data files, visual analytics platform [9]dataplor.com/solutions/global-dataset/“Pre-structured, standardized data files”dataplor.com/solutions/global-platform/“interactive map-based visualization”

Webhooks

✗ No [10]dataplor.com/solutions/global-platform/“Reporting and integration capabilities with enterprise systems”

Sandbox / test mode

✗ No [11]dataplor.com/contact/“Get a free data sample. Book a demo. Discuss the best solution for your team.”

SDK languages

Unknown

MCP server

✗ No [12]dataplor.com“Global location data for better business decisions”

SOC 2

– Unknown [13]dataplor.com/privacy-policy/“European residents can access, correct, update, or delete personal information.”dataplor.com/sample-primary-services-agreement/“Dataplor shall implement commercially reasonable technical and organizational measures designed to protect the security, confidentiality, and integrity of the Services”

HIPAA

– Unknown

GDPR

✓ Yes [14]datarade.ai/data-providers/dataplor/profile“GDPR and CCPA compliant; No PII collected or used”dataplor.com/solutions/global-dataset/“fully anonymized and aggregated foot traffic signals”dataplor.com/sample-primary-services-agreement/“Each party will comply with applicable data protection and privacy laws in performing the agreement.”

ISO 27001

– Unknown

PCI DSS

– Unknown

Published SLA

✗ No [15]dataplor.com/sample-primary-services-agreement/“Unless otherwise specified in an Order Form, Dataplor shall provide support and SLAs in accord with any standard SLA exhibit incorporated into this Agreement.”

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 [16]dataplor.com/sample-primary-services-agreement/“Customer may only create internal models, analyses, reports, and other outputs that are derived from or incorporate insights from the Records”dataplor.com/sample-primary-services-agreement/“Customer shall not...Sell, resell, distribute, license, sublicense, rent, lease, or otherwise make the Services, Platform, Datasets, or Records available to any third party”dataplor.com/sample-primary-services-agreement/“use Records to train, fine-tune, validate, benchmark, or otherwise enhance any machine learning or AI model (including LLMs and foundation models)”

• llms.txt

Docs rendering: static · llms.txt present

Launched

2016-01-01

Notable customers

American Express, iZettle, PayPal, Google, Uber Eats, iFood, Wolt

• Azure Maps Search (POI)

  "Azure Maps is a collection of geospatial services and SDKs that use fresh mapping data to provide geographic context to web and mobile applications."

  Usage · free tier · public pricing · self-serve

• Google Places API

  "The Places API is a service that accepts HTTP requests for location data through a variety of methods. It returns formatted location data and imagery about establishments, geographic locations, or prominent points of interest."

  Usage · free tier · public pricing · self-serve

• TomTom Search / Places API

  "Search is a RESTful API designed for developers allowing single-line fuzzy search for addresses and POIs. Search assigns a latitude/longitude to a specific address, cross street, geographic feature, or point of interest (POI)."

  Hybrid · free tier · public pricing · self-serve

• Radar Geocoding API

  "Use Radar's geocoding APIs to convert addresses to latitude and longitude coordinates, or vice versa."

  Hybrid · free tier · public pricing · self-serve

• Mapbox Search Box API

  "All-in-one location search for addresses, places, and points of interest"

  Usage · free tier · public pricing · self-serve

• HERE Geocoding & Search API (Discover & Browse)

  "Enable precise conversion and discovery of geocoordinates, POIs and addresses to improve location accuracy and context."

  Hybrid · free tier · self-serve

dataplor alternatives · dataplor vs Azure Maps Search (POI) · All Places & POI APIs APIs

Each field above carries a numbered source - hover for a preview, click to jump here.

1. ↑Description: dataplor.com
2. ↑Pricing model: datarade.ai · dataplor.com
3. ↑Published pricing: dataplor.com · datarade.ai
4. ↑Free tier: dataplor.com
5. ↑Self-serve signup: dataplor.com
6. ↑Requires sales call: dataplor.com
7. ↑Supported actions: dataplor.com · dataplor.com
8. ↑Regions: dataplor.com · datarade.ai
9. ↑Output types: dataplor.com · dataplor.com
10. ↑Webhooks: dataplor.com
11. ↑Sandbox: dataplor.com
12. ↑MCP server: dataplor.com
13. ↑SOC 2: dataplor.com · dataplor.com
14. ↑GDPR: datarade.ai · dataplor.com · dataplor.com
15. ↑Published SLA: dataplor.com
16. ↑Known restrictions: dataplor.com · dataplor.com · dataplor.com

Every field change, who made it, and when - from our audited data pipeline and editors.

1. 2026-06-15 Score Agent Friendliness: 15 → 35
2. 2026-06-14 Has Structured Data: (none) → Yes
3. 2026-06-14 Robots Allows Agents: (none) → Yes
4. 2026-06-14 Capabilities: {} → {"poi_search":true}
5. 2026-06-14 Summary Md: (none) → dataplor is a global location intelligence provider, founded in 2016, offering …
6. 2026-06-14 Score Agent Friendliness: 0 → 15
7. 2026-06-14 Best For: (none) → AI agents and automation - an agent-ready surface (MCP / llms.txt)
8. 2026-06-14 Score Docs Quality: 0 → 10
9. 2026-06-14 Llms Txt URL: (none) → https://www.dataplor.com/llms.txt
10. 2026-06-14 Llms Txt Present: (none) → Yes
11. 2026-06-14 Rendering: (none) → static
12. 2026-06-14 Score Agent Friendliness: (none) → 0
13. 2026-06-14 Scoring Methodology: (none) → Scores are computed deterministically from this profile's published, sourced fi…
14. 2026-06-14 Avoid If: (none) → You need to start building today without contacting sales, You need transparent…
15. 2026-06-14 Score Trust Readiness: (none) → 15
16. 2026-06-14 Score Procurement Friction: (none) → 0
17. 2026-06-14 Score Docs Quality: (none) → 0
18. 2026-06-14 Score Setup Speed: (none) → 0
19. 2026-06-14 Score Pricing Transparency: (none) → 0
20. 2026-06-14 Self Serve Signup: set to No
21. 2026-06-14 Requires Sales Call: set to Yes
22. 2026-06-14 GDPR: set to Yes
23. 2026-06-14 SLA Published: set to No
24. 2026-06-14 SLA URL: set to https://www.dataplor.com/sample-primary-services-agreement/
25. 2026-06-14 Data Retention Policy URL: set to https://www.dataplor.com/privacy-policy/
26. 2026-06-14 Known Restrictions: set to Internal use only - data may only be used to create internal models, analyses, …
27. 2026-06-14 Auth Methods: set to (none)
28. 2026-06-14 Requires Verification: set to Yes
29. 2026-06-14 Launched At: set to 2016-01-01
30. 2026-06-14 Notable Customers: set to American Express, iZettle, PayPal, Google, Uber Eats, iFood, Wolt
31. 2026-06-14 Fields Not Found: set to specific file delivery formats (CSV/JSON/GeoJSON/Shapefile), API endpoints or A…
32. 2026-06-14 Source Confidence: set to high
33. 2026-06-14 Extractor: set to claude-subagent:sonnet
34. 2026-06-14 Slug: set to dataplor
35. 2026-06-14 Status: set to published
36. 2026-06-14 Last Verified At: set to 2026-06-14T00:00:00.000Z
37. 2026-06-14 Name: set to dataplor
38. 2026-06-14 Vendor ID: set to cc322dc1-212d-443b-923a-7798df03e0cb
39. 2026-06-14 Website URL: set to https://www.dataplor.com
40. 2026-06-14 Vendor Description: set to Global location data for better business decisions
41. 2026-06-14 Primary Use Cases: set to POI data / place database, site selection and retail expansion planning, compet…
42. 2026-06-14 Supported Actions: set to global POI dataset delivery, foot traffic data delivery, brand intelligence, po…
43. 2026-06-14 Supported Regions: set to 250+ countries and territories, global
44. 2026-06-14 Supported Languages: set to (none)
45. 2026-06-14 Input Types: set to geographic area / country / region, industry / category filter, brand filter
46. 2026-06-14 Output Types: set to pre-structured standardized data files, visual analytics platform
47. 2026-06-14 Webhooks Supported: set to No
48. 2026-06-14 Sandbox Available: set to No
49. 2026-06-14 SDK Languages: set to (none)
50. 2026-06-14 SDK Packages: set to (none)

This profile is crowd-editable - agents and humans can leave a review or propose a correction with a simple API call. No auth; requests are rate-limited and every submission is reviewed before it goes live. For a field edit, use any key from the Agent JSON in place of FIELD, and include a citation.

curl -X POST https://apio.sh/api/feedback/dataplor \
  -H 'Content-Type: application/json' \
  -d '{"kind":"review","rating":5,"body":"Your experience with this API…"}'

curl -X POST https://apio.sh/api/suggest/dataplor/FIELD \
  -H 'Content-Type: application/json' \
  -d '{"value":"corrected value","citations":[{"url":"https://source.example/page","excerpt":"supporting quote"}],"note":"what changed and why"}'

All the ways to contribute →