Moda
Moda is a continual-learning and observability layer for AI agents and LLM-native software, built by ModaLabs (YC W26, San Francisco). It turns production agent traces into validated improvements to the agent harness (prompts, tools, workflows, retrieval, memory, evals) rather than the model weights. The platform ingests conversations via a lightweight SDK plus OpenTelemetry/OTLP intake, then provides intent discovery, behavioral failure detection, tool-call failure taxonomies, frustration root-cause attribution, and prompt management. Moda exposes an HTTP ingestion API, a read-only Data API for analytics, first-party Python and TypeScript SDKs, a CLI, a production MCP server, and Claude Code skills so teams and agents can query and act on their agent analytics.
Moda publishes 2 APIs on the APIs.io network. Tagged areas include Company, AI Agents, LLM Observability, Agent Analytics, and Continual Learning.
Moda’s developer surface includes documentation, API reference, getting-started guide, engineering blog, changelog, pricing, support, and 20 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Moda Ingestion API
HTTP ingestion API for sending LLM/agent conversation events to Moda. Accepts batched events (conversation_id, role, message, plus token/model/trace metadata) over a single POST...
Moda Data API
Read-only analytics API for programmatic access to Moda conversation data: overview/KPIs, conversations, world state, topic clusters, frustrations, and tool failures. Authentica...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
moda-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API