Axiom

Fully managed observability platform for petabyte-scale logs, traces, and metrics with usage-based pricing and native AI agent support.

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StoreClaw

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An autonomous commerce engine for online sellers that monitors, executes, and grows your store across all major e-commerce platforms — 24/7, without manual intervention.

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Product Overview

What is Axiom?

Axiom is a modern machine-data platform built to handle observability at scale without forcing teams to sample, drop, or aggregate their data as volume grows. It offers schema-less ingestion into a fully managed event store with over 95% compression, so engineers can retain every log and event without running self-managed clusters. Query is handled through two purpose-built languages, APL for logs and traces and MPL for metrics, both designed around a sequential, pipe-based syntax reminiscent of Splunk's SPL but running on cheaper, cloud-native infrastructure. Pricing is usage-based with automatic volume discounts, a permanent free tier, and self-serve enterprise add-ons instead of opaque SKU bundles. Axiom also ships a native MCP server plus SRE and Metrics skills, letting AI agents query the same event data engineers use to diagnose incidents, all without custom integration glue.

Key Features

Schema-less Petabyte Ingest
Fully managed event store accepts schema-less data at petabyte scale with over 95% compression, so teams keep every byte without provisioning or maintaining a self-managed cluster.
APL and MPL Query Languages
Purpose-built pipe-based query languages for logs and traces (APL) and metrics (MPL), giving the query power of Splunk-style SPL on infrastructure designed for modern data volumes.
Usage-Based Pricing with Volume Discounts
A single usage-based dial covers logs, traces, metrics, and events with automatic volume discounts, avoiding SKU stair-steps, overage tiers, or annual renegotiation.
Native AI Agent Integration
Built-in MCP server with SRE and Metrics skills lets AI agents query observability data using the same APL/MPL primitives engineers rely on, without per-vendor adapters.
Self-Serve Enterprise Controls
Enterprise features like SSO, RBAC, Directory Sync, and Audit Logs unlock directly in-console as add-ons, without requiring a sales call.
Splunk Migration Path
A Splunk App lets teams run Axiom alongside existing Splunk deployments on orphan workloads first, easing migration without renegotiating current contracts.

Use Cases

Incident Diagnosis : Engineers query high-cardinality logs and metrics in real time to trace root causes, such as identifying why checkout latency spiked at a specific timestamp.
AI Agent-Assisted On-Call : AI agents connected via MCP participate in on-call rotations and incident review, running the same queries a human SRE would to move from hypothesis to proof.
Cost-Controlled Observability at Scale : Organizations replacing per-host or per-GB-indexed pricing models use Axiom's usage-based dial to make observability spend predictable as data volume grows.
Compliance and Long-Term Retention : Teams with regulatory requirements configure extended, customizable retention windows to keep full-fidelity logs and events without rehydration tickets.
Gradual Splunk Replacement : Platform teams pilot Axiom on lower-risk workloads like dev, staging, or marketing event data before expanding coverage at the next contract renewal.

FAQs

StoreClaw

Sponsor

An autonomous commerce engine for online sellers that monitors, executes, and grows your store across all major e-commerce platforms — 24/7, without manual intervention.

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