Fallom vs Requestly

End-to-End LLM Tracing

Fallom provides comprehensive, granular tracing for every LLM interaction in your system. You can track the full journey of a request, including the exact prompt sent, the model's output, any tool or function calls made by an agent, token usage, latency, and the calculated cost. This complete visibility is essential for understanding performance, debugging unexpected behavior, and optimizing each call for better efficiency and lower expenses.

Real-Time Cost Attribution & Dashboard

Gain instant clarity on your AI spending with Fallom's live dashboard. It automatically breaks down costs by model, user, team, or customer, turning opaque API bills into actionable insights. You can see a live feed of calls, monitor for spending anomalies, and attribute expenses accurately for internal chargebacks or client billing, ensuring full financial transparency and control over your AI budget.

Compliance-Ready Audit Trails

Built for regulated industries, Fallom creates immutable, detailed audit logs of every AI interaction. It supports critical compliance needs like model versioning, user consent tracking, and input/output logging, helping you meet requirements for standards like the EU AI Act, SOC 2, and GDPR. This feature provides the necessary documentation to demonstrate responsible AI usage and data handling.

Timing Waterfall & Tool Call Visibility

Debug complex, multi-step agent workflows with ease using Fallom's visual timing waterfall diagrams. These charts break down the exact sequence and duration of LLM calls, tool executions, and processing steps, making it simple to pinpoint latency bottlenecks. Coupled with deep visibility into every tool call—showing function names, arguments, and results—you can quickly identify and fix inefficiencies in your agentic chains.

Git-Native Collections

Requestly allows users to store their API collections in Git, enabling a seamless collaboration experience similar to software development. This feature facilitates version control, branching, and merging, making it easy for teams to manage changes and collaborate effectively.

Easy Import/Export

With Requestly, users can effortlessly import and export API collections and contracts from various sources, including Postman and OpenAPI. This feature ensures that transitioning to Requestly from other platforms is smooth and hassle-free.

Multi-Workspace View

Manage multiple local workspaces simultaneously with Requestly's multi-workspace view. This feature enables developers to easily switch between different projects, ensuring a more organized and efficient workflow without losing context.

Local Workspaces

Requestly emphasizes data privacy by keeping everything local. Users can work within secure local files, eliminating reliance on cloud storage. This feature provides peace of mind for developers concerned about data security and control.

Optimizing AI Agent Performance

Development teams use Fallom to monitor and debug their production AI agents. By analyzing timing waterfalls and tool call traces, engineers can identify why an agent is slow—perhaps a specific database query or external API call is lagging—and optimize the workflow to improve response times and user experience significantly.

Managing and Forecasting AI Costs

Finance and engineering leaders leverage Fallom's cost attribution features to track spending across different projects, teams, and models. This allows for accurate budgeting, forecasting, and internal chargebacks. Teams can identify if a specific feature or user is driving unexpected costs and take action, such as optimizing prompts or switching models, to stay within budget.

Ensuring Regulatory Compliance

Compliance and legal officers in healthcare, finance, or enterprise software use Fallom to maintain robust audit trails for AI systems. The platform logs all necessary data (inputs, outputs, model versions, user consent) in an immutable format, providing the evidence needed to pass security audits and demonstrate adherence to industry regulations and internal governance policies.

Improving LLM Application Reliability

SRE and DevOps teams implement Fallom for real-time monitoring and alerting on their LLM-powered applications. By watching the live dashboard for error spikes, latency increases, or hallucination rate changes, they can detect and resolve incidents proactively before they impact end-users, ensuring high reliability and uptime for critical AI services.

Seamless API Testing

Developers can utilize Requestly to test APIs quickly and efficiently, leveraging its built-in features like pre/post request scripts and the collection runner for batch testing. This enhances productivity and reduces the time spent on debugging.

Team Collaboration

Requestly's free team collaboration features allow teams to share workspaces, manage API collections, and collaborate in real-time. This is particularly beneficial for larger teams working on complex projects where coordination is key.

Effortless Migration

For teams transitioning from Postman, Requestly offers a one-click import feature, making it easy to bring over collections and environments. This simplifies the process and reduces downtime during the switch.

Secure Development Environment

Requestly provides a secure local development environment, which is particularly valuable for enterprises that require strict data protection. With features like role-based access control and data encryption, teams can ensure that their workflows remain compliant and secure.

Fallom is your all-in-one observability platform built from the ground up for the age of AI. It's designed to bring crystal-clear visibility to the complex world of large language models (LLMs) and AI agents running in production. Think of it as a powerful dashboard that lets you see every single LLM call, trace every step of an agent's reasoning, and understand exactly what's happening under the hood of your AI applications. For developers and data scientists, this means you can debug a slow or failing agent in minutes instead of hours. For product and business leaders, it provides crucial insights into costs, usage patterns, and performance to ensure your AI initiatives are efficient and scalable. Fallom empowers teams to move fast with confidence, offering enterprise-grade features like compliance-ready audit trails and detailed cost attribution right out of the box. With its OpenTelemetry-native SDK, you can start tracing your applications in under five minutes, making advanced AI observability accessible to every team.

Requestly is a modern, lightweight API client designed specifically for development teams that prioritize control and efficiency in their API workflows. Unlike traditional cloud-based solutions, Requestly operates with a local-first approach, ensuring that your data remains secure and stored directly on your machine. This is a significant advantage for teams looking to maintain version control over their API collections, as Requestly allows collections to be stored as files that can easily integrate with Git. With the power of AI integrated into its core, Requestly not only streamlines the process of writing requests and generating tests but also enhances debugging capabilities, making it faster and easier for developers to work with APIs. It supports both REST and GraphQL, offering features like schema introspection, pre/post request scripts, and environment variables. The platform also encourages collaboration with its free-tier features, which include shared workspaces and role-based access control. With no sign-up required, developers can start using Requestly immediately, a feature that has gained the trust of over 300,000 users from top companies like Microsoft, Amazon, Google, and Adobe.

How quickly can I start using Fallom?

You can get started in under five minutes. Fallom uses a single, OpenTelemetry-native SDK that you integrate into your application. Once instrumented, traces will immediately begin flowing to your Fallom dashboard, requiring minimal setup or configuration to see your first data.

Does Fallom support all LLM providers?

Yes, Fallom is designed to be provider-agnostic. It works with every major LLM provider, including OpenAI, Anthropic, Google Gemini, and others via its OpenTelemetry foundation. This means you can monitor all your AI models from one unified platform without vendor lock-in.

How does Fallom handle sensitive or private data?

Fallom offers a Privacy Mode for sensitive deployments. This allows you to disable full content capture for prompts and responses, logging only the metadata (like timings, token counts, and costs) while redacting the actual text. You can configure these privacy controls per environment to balance observability with data security.

Can I use Fallom for A/B testing different models or prompts?

Absolutely. Fallom includes features for model A/B testing and a Prompt Store for version control. You can safely roll out a new model to a percentage of traffic or test different prompt variations, then use Fallom's analytics to compare their performance, cost, and quality metrics side-by-side before making a full switch.

Is Requestly really free to use?

Yes, Requestly offers a generous free tier that includes many features, allowing developers to start testing APIs without any sign-up or payment required.

Can I import my Postman collections to Requestly?

Absolutely! Requestly provides a one-click import feature that allows you to bring your Postman collections and environments into the platform seamlessly.

What types of APIs does Requestly support?

Requestly supports both REST and GraphQL APIs, equipped with features like schema introspection and pre/post request scripting to facilitate efficient development.

How does Requestly ensure data security?

Requestly employs top-tier security measures, including SOC-II compliance, data encryption, and role-based access control, ensuring that your data remains secure and your workflows are protected.

Fallom is a specialized observability platform for large language models (LLMs) and AI agents, falling into the development and AI operations category. It provides deep visibility into how your AI applications perform in production, tracking everything from prompts and costs to latency and tool calls. Users often explore alternatives for various reasons. These can include budget constraints, the need for a different feature set, or integration requirements with their existing tech stack. Some teams might be looking for a more general-purpose monitoring tool, while others may prioritize specific compliance or deployment options. When evaluating other solutions, it's wise to consider a few key areas. Look for robust LLM and agent tracing, clear cost attribution, and session-level context. Also, assess how easily it integrates into your workflow and whether it meets your specific security and compliance standards for audit trails.

Requestly is a lightweight API client tailored for modern development teams, providing them with full control over API workflows while keeping data local rather than in the cloud. It allows teams to manage API collections like code, leveraging features such as version control and collaborative workspaces. Users often seek alternatives due to factors like pricing, specific feature sets, platform compatibility, or the need for team collaboration tools. When searching for an alternative, it’s essential to consider ease of use, data security, integration capabilities, and the overall support for the developer community.