
Inferly enables precise monitoring of AI-related expenditures by capturing metadata on every call made to language model services. Details such as the chosen provider, model identifier, token volumes, response duration, and outcome status are recorded and processed into aggregated views. This approach supports any model across multiple providers while maintaining strict separation from user data. The platform uses time-stamped pricing information to convert token counts into accurate cost figures broken down by project or team. Real-time summaries and customizable notifications help teams identify unusual patterns early. Integration occurs via a lightweight endpoint that accepts simple JSON payloads, allowing use from any environment without additional software dependencies. Security measures include key hashing and access controls to protect account boundaries. Subscription options accommodate varying scales of usage with features like extended data retention and export capabilities available on paid tiers.
Inferly captures metadata from every LLM API call to display total spend, request volume, success rates, latency, and token usage on a clean dashboard with period-over-period trends.
Time-versioned pricing converts raw token counts into exact dollar amounts broken down by provider, model, and project without ever accessing prompt or completion content.
Monitor success rates and cost trends with configurable alerts via webhook or Slack so budget surprises and rising error rates are caught early.
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Our take: Inferly is a solid productivity choice. It's valued for never touches prompt or completion content and works with any provider or model. The main trade-off is event quotas enforced by plan. A good pick if you want capable AI without a high upfront cost.
No. Inferly ingests only metadata such as provider, model, token counts, latency, and status; prompt and completion text never leaves the user's application.
Inferly is a solid productivity choice. It's valued for never touches prompt or completion content and works with any provider or model. The main trade-off is event quotas enforced by plan. A good pick if you want capable AI without a high upfront cost.
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