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alialtunar

model-price-radar

by alialtunar
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Python
Remote

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    • llm-oracle

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    TDQS

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct question: catalog search, workload cost estimation, per-model price history, market-wide price changes, and provider-level comparison. The descriptions clarify scope, especially between model_price_history (single model over time) and price_changes (market-wide since a month), so misselection is unlikely.

    Naming Consistency4/5

    All tool names use snake_case and are descriptive. Three follow a verb_noun pattern (find_models, estimate_cost, compare_providers) while two are noun phrases (model_price_history, price_changes), a minor deviation but still readable and predictable overall.

    Tool Count5/5

    Five tools is well-scoped for an LLM pricing radar: search, cost estimation, historical tracking, market change detection, and provider comparison. Each tool earns its place without redundancy or thin coverage.

    Completeness5/5

    The surface covers the core lifecycle of price discovery: finding models, estimating workload costs, tracking per-model price history, detecting market-wide changes, and comparing providers. No obvious dead ends exist for the stated domain of OpenRouter price monitoring.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

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