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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Aporia the way a machine reads it — 26 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Aporia scores 17.2/100 (emerging), with a separate agent-readiness read of 3/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
Put this on your own site. The badge is drawn live from Aporia's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/aporia/"
title="Aporia on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/aporia.svg"
alt="Aporia Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>[](https://providers.apievangelist.com/providers/aporia/)<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/aporia/"
title="Aporia on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/aporia/card.svg"
alt="Aporia Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Aporia
Each block below is one kind of artifact we hold for Aporia. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 4
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Aporia Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Aporia Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Aporia Finops
FINOPSFeatures 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
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.
Scroll within the panel for all 7 ·
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 4
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
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 tell you where this provider already fits in a stack.
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.
Scroll within the panel for all 7 ·
Resources
Every other property we hold for Aporia — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
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
← All providers · Data indexed from github.com/api-evangelist/aporia · machine-readable index on apis.io
This is an independent, third-party profile of Aporia, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
info@apievangelist.com
·
Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.