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Alternatives to cred-1

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with zero-cost, zero-dependency trust evaluation for domains, URLs, wallets, APIs, and IPs, returning a 0-100 score with SSL, DNS, WHOIS, security header, and content sub-scores, plus batch comparison to rank multiple targets.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Free, no API key required.
      6
      237 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      F
      maintenance
      Pay-per-call API that verifies whether a domain belongs to a real business. Returns a verdict (real/likely_real/uncertain/likely_fake/fake), a 0-100 score, and signals (WHOIS via RDAP, SSL via Certificate Transparency, homepage LLM judgment, contacts, social) — for KYB, vendor screening, fraud checks, and lead qualification.
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables local synthetic-data evaluation of domain trustworthiness via five tools for reporting, verifying, and looking up domain signals, with conservative observation, rate limiting, and privacy-preserving logging.
      -
    • A
      license
      A
      quality
      D
      maintenance
      URL intelligence for AI agents. One URL in, structured security and data quality signals out across 7 dimensions. 13 tools, risk score 0-100 with 23 configurable weights.
      16
      22 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to check whether a domain loads securely in a browser, including certificate validity and expiry, and to pull public homepage facts such as title, language, CMS, contact emails, phones, and social links. It also searches a small dated local-business index by category and area.
      MIT

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: single lookup, bulk lookup, pattern search, dataset-level stats, and category metadata. There is no realistic scenario where an agent would confuse check_domain with search_domains or get_stats, and batch_check is explicitly distinguished by its multi-domain input and result array.

    Naming Consistency4/5

    Four tools follow a clean verb_noun pattern (check_domain, search_domains, get_stats, get_categories). batch_check deviates slightly by putting the noun first, but it remains readable and the intent is obvious, so this is a minor deviation rather than an inconsistency problem.

    Tool Count5/5

    Five tools is a tight, well-scoped surface for a domain credibility dataset: one tool per natural operation (read one, read many, search, stats, taxonomy). Nothing appears redundant or missing at the count level.

    Completeness5/5

    For a read-only dataset server, the surface covers all expected workflows: single lookup, bulk lookup with not_found handling, discovery via substring/regex search, aggregate statistics, and category taxonomy. There are no dead ends an agent would hit in normal use.

    Maintenance

    ActivityActive
    ResponsivenessSlow