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EMpulse Street FX Index

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Python
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    TDQS

    A4/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a clearly distinct data product or time granularity: latest rate, historical range, hourly rates, official-vs-street premium, stress signals, events, rail health, rail incidents, unmet demand, and USDT liquidity. The descriptions make the boundaries explicit, so an agent should not confuse similar-sounding tools like get_street_rate, get_rate_history, and get_hourly.

    Naming Consistency5/5

    All tools use snake_case with a predictable verb_noun or verb_noun_phrase pattern: get_*, list_*, and request_*. There are no mixed conventions or vague names.

    Tool Count5/5

    The set has 13 tools, which is well within a reasonable range for a multi-index FX and payments data API. Each tool appears to correspond to a distinct dataset or operation, with no obvious filler.

    Completeness4/5

    The surface covers the core lifecycle for this data domain: latest rates, history, hourly data, currency coverage, official comparisons, stress signals, events, rail health and incidents, unmet demand, USDT liquidity, methodology, and free-key issuance. Minor gaps remain, such as no explicit multi-currency latest-rate batch operation or account/usage management beyond requesting a free key, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources