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Alternatives to ProofPrice

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Real prices people actually paid (homes, rents, fuel, energy, groceries, medicines) from official open data, with source, period, sample size and licence on every answer. Read-only, no API key.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to query real-time, audited Brazilian public data on fuel and LPG prices, regulated medicine ceilings and Farmácia Popular eligibility, and basic food basket/cost-of-living indicators across all 27 states via MCP tools, prompts, and resources.
      11
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to resolve places and statistical variables, then retrieve harmonised public statistics such as population, income, health, employment, and emissions with publisher provenance and child-place comparisons.
      90 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Cost of living, CPI, PPP, and regional price data for 190+ countries. Semantic endpoints with natural language parameters. MCP server for AI agents.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying Dubai Land Department registered home sales data through natural-language tools, including community medians, ready-versus-off-plan price splits, comparisons, rental yields, a house price index, and broker licence checks. It provides read-only access to public-record facts without an API key or sign-up.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to turn natural-language questions into ranked, authority-tagged primary data sources and hand-by-hand navigation instructions for reaching the exact data on official government, international organization, and research sites. Delivers a traceable evidence chain from query to original source, avoiding hallucinated figures and secondhand citations.
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