Aporia
Aporia was an AI guardrails and observability platform for production LLM and ML applications, known for low-latency guardrails covering hallucination, prompt injection, PII, toxicity, off-topic responses, and custom policies, alongside full ML monitoring for drift and data quality. Coralogix acquired Aporia in late 2024 and the Aporia guardrails technology is now offered as part of the Coralogix AI Observability and AI Guardrails product line, with the standalone Aporia.com experience consolidated into Coralogix's portfolio.
Aporia publishes 4 APIs on the APIs.io network. Tagged areas include AI Guardrails, ML Observability, LLM Monitoring, Coralogix, and Acquired.
Aporia’s developer surface includes engineering blog, documentation, and 7 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Coralogix AI Guardrails
Coralogix AI Guardrails is the post-acquisition continuation of Aporia's guardrails product, intercepting prompts and responses between applications and LLMs to enforce policies...
Coralogix AI Observability
Coralogix AI Observability combines Aporia's monitoring capabilities with Coralogix's logging and tracing backend to provide end-to-end visibility into LLM and agent application...
Aporia Guardrails (Legacy)
The original Aporia Guardrails product offered millisecond-latency policy enforcement on LLM prompts and responses with a library of pre-built detectors (hallucination, prompt i...
Aporia ML Observability (Legacy)
Aporia ML Observability provided monitoring for classical ML models including drift detection, data quality checks, performance tracking, and custom monitors. Now consolidated i...
Pricing Plans 1
Published pricing tiers and plan structures.
Aporia Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Aporia Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Aporia Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
LLM Guardrails
Low-latency policy enforcement on LLM prompts and responses with a library of pre-built detectors.
Hallucination Detection
Detect ungrounded or fabricated responses in RAG and general LLM applications.
Prompt Injection Detection
Identify direct and indirect prompt injection attempts.
PII Detection
Screen prompts and responses for personally identifiable information.
Custom Policies
Build organization-specific policies for restricted topics, competitor mentions, and brand-safe responses.
ML Monitoring
Drift, data quality, performance, and custom monitor support for classical ML.
Coralogix Integration
Native integration with Coralogix observability backend post-acquisition.
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Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 4
What developers build with this provider.
LLM Application Guardrails
Enforce policies on prompts and responses in production GenAI applications.
RAG Hallucination Prevention
Block ungrounded responses from retrieval-augmented generation pipelines.
Brand Safety
Prevent off-topic, competitor, or off-brand responses from customer-facing LLM apps.
ML Drift Monitoring
Detect distribution drift in classical ML models in production.
Integrations 7
Pre-built integrations with other platforms and tools.
OpenAI
Guardrails for OpenAI Chat Completions and Assistants.
Anthropic
Guardrails for Anthropic Claude models.
Azure OpenAI
Guardrails for Azure-hosted OpenAI deployments.
AWS Bedrock
Guardrails for models accessed through AWS Bedrock.
LangChain
Native integration for LangChain chains and agents.
LlamaIndex
Integration for LlamaIndex RAG applications.
Coralogix
Native integration with Coralogix logging, tracing, and observability backend.
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Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type