Sold by: Payloop
Payloop delivers real-time AI cost intelligence and autonomous optimization for teams deploying AI agents at scale. Reduce LLM spending by up to 65% while maintaining security and performance. Track costs by task, agent, and customer with granular visibility. Includes Sentinel protection against prompt injection attacks and off-topic queries. A one-line integration automatically wraps all LLM calls with transaction tracking. Perfect for AI-first companies needing cost control, margin protection, and pricing model optimization.Payloop provides real-time cost intelligence and margin optimization for AI applications and agents. Track LLM costs down to each task, workflow, agent, and customer, automatically block prompt injection attacks with Sentinel, and simulate pricing models before deploying AI features at scale. A one-line SDK integration automatically wraps all LLM calls with transaction tracking, giving teams full visibility into the economics of their AI systems.
Overview
Payloop transforms AI cost management from guesswork into real-time economic intelligence, enabling teams to deploy AI applications and agents confidently while maintaining healthy margins.
As companies ship AI features and autonomous workflows, understanding the cost of every prompt, tool call, and agent action becomes critical. AI costs fluctuate across models, prompts, workflows, and customers, making it difficult to understand whether AI products are operating profitably.
Payloop provides a unified platform for tracking, analyzing, and optimizing the economics of AI systems in production.
With a lightweight SDK integration, Payloop automatically wraps every LLM call and captures transaction-level metadata including token usage, model selection, timestamps, and cost data. This enables teams to monitor AI spending across tasks, workflows, agents, and customers, giving product and engineering teams precise insight into where AI costs originate and how they impact margins.
Payloop includes Sentinel, an integrated AI security layer designed to protect agent workflows and reduce unnecessary spend. Sentinel continuously monitors requests and blocks prompt injection attacks, jailbreak attempts, and off-topic prompts that waste tokens and degrade system reliability.
Advanced simulation tools allow teams to model different pricing strategies, including token-based, cost-plus, subscription, and outcome-based pricing so companies can launch AI features with confidence that margins will remain healthy as usage scales.
Payloop also supports model comparison across providers, helping teams evaluate cost, latency, and performance across multiple LLMs to select the most efficient model for each workflow.
By combining cost tracking, optimization, security protection, and pricing intelligence, Payloop provides an economic intelligence layer for AI applications, enabling AI-first companies to operate their systems with the same level of financial visibility as traditional software infrastructure.
Payloop is ideal for AI-first startups, SaaS platforms embedding AI features, and enterprise teams deploying conversational AI, automation agents, and AI-powered workflows.
Highlights
- Reduce AI spending by up to 65% through real-time cost tracking and workflow optimization
- Track LLM costs across tasks, workflows, agents, and customers
- One-line SDK integration automatically wraps every LLM call with transaction tracking
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Dimension | Description | Cost/12 months |
|---|---|---|
1B Tokens Processed | Up to 1 billion tokens processed per year. Covers combined input and output tokens across all API calls. | $5,000.00 |
Dimensions summary
This listing uses a single usage-based dimension tied to token volume. You commit to a contract covering up to 1 billion tokens processed per year. The count combines both input and output tokens across all your API calls. There are no separate tiers, seat counts, or instance sizes to choose from. Your usage scales with the number of tokens your AI workloads consume, and this dimension sets the annual ceiling for that processing.
Top-of-mind questions for buyers
A token is a unit of text an AI model processes. Payloop counts both input tokens (your prompts) and output tokens (model responses) across every API call. All calls made through your registered client are tracked automatically and combined toward the annual total.
This dimension covers up to 1 billion tokens processed per year. That figure sets your annual ceiling. If your combined input and output tokens are on track to exceed it, contact the vendor to arrange added capacity, since the marketplace data does not define overage handling.
The count reflects tokens your AI workloads process through registered LLM clients. Payloop wraps each call, then classifies and attributes it. Features like transaction grouping, customer attribution, and blocking irrelevant prompts organize that usage. Blocked prompts never reach the model, so they avoid adding token cost.
developers.trypayloop.com
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