Moesif API Analytics
moesif.comInstrument API traffic to analyze customer behavior, troubleshoot usage, and build metered API products.
Instrument API traffic to analyze customer behavior, troubleshoot usage, and build metered API products.
Analyze paid-channel customer acquisition with order, cohort and lifetime-value context.
Self-managed static analysis that reports code quality and security issues in the CI workflow.
Define cloud CI/CD workflows as repository-stored YAML or through a visual editor.
Run saved Postman collection tests from a terminal or CI pipeline, and lint API specifications.
Automate command-line work across Windows, Linux, and macOS with an object-based shell and scripting language.
A Python command-line toolkit for authoring and running declarative chaos experiments against configured systems.
Lead-focused sales tracking with prospect lists and next actions
Sales pipeline intelligence and deal collaboration across organizations
Visual B2B sales pipelines with guided selling and no-code automation
Recruiting pipelines that distinguish a candidate's stage from activity within it
B2B sales CRM with guided workflows and ERP-informed account intelligence
Route standardized customer events into warehouses and connected business tools.
Customer-profile orchestration that coordinates campaigns across connected sending systems
Lifecycle messaging driven by people, objects and their relationships
Share colour configurations and transforms across visual production tools.
Publish a searchable, multilingual customer help center connected to support conversations and analytics.
Bill software usage and compare each customer's revenue with costs
Run DuckDB-based analytics in a managed cloud warehouse and share results with a team.
Custom visual detection that runs in the cloud or on your own hardware.
A repository manager for caching dependencies and storing build artifacts across a delivery pipeline.
Autonomous SDLC platform with AI agents for delivery, security, runtime, and cost.
Analyze themes and sentiment across connected customer-feedback sources.
Transform existing support content into governed, personalized knowledge for agents and customers.