RightNow AI
RightNow AI (RunInfra) turns plain-English descriptions of an inference workload into production, OpenAI-compatible AI endpoints. The platform selects open-source models from Hugging Face, benchmarks GPU options, applies kernel optimizations (quantization, speculative decoding, KV-cache tuning, Forge kernels), and deploys serverless, pay-per-token inference APIs on RunInfra Cloud, RunPod, Modal, or self-hosted GPUs. Its REST API is OpenAI-shaped and covers chat completions, responses, embeddings, rerank, image generation, audio speech and transcription, and model listing. A Y Combinator-backed research lab, RightNow AI also publishes open-source GPU-kernel and inference tooling.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles RightNow AI the way a machine reads it — 11 machine-readable artifacts across 7 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 — RightNow AI scores 54.8/100 (developing), with a separate agent-readiness read of 24/100 (agent aware). 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 2026-07-27 · rubric v0.5
How we profile RightNow AI
Each block below is one kind of artifact we hold for RightNow AI. 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 7
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.
RightNow AI Audio API
The Audio API from RightNow AI — 2 operation(s) for audio.
RightNow AI Chat API
The Chat API from RightNow AI — 1 operation(s) for chat.
RightNow AI Embeddings API
The Embeddings API from RightNow AI — 1 operation(s) for embeddings.
RightNow AI Images API
The Images API from RightNow AI — 1 operation(s) for images.
RightNow AI Models API
The Models API from RightNow AI — 2 operation(s) for models.
RightNow AI Rerank API
The Rerank API from RightNow AI — 1 operation(s) for rerank.
RightNow AI Responses API
The Responses API from RightNow AI — 1 operation(s) for responses.
Scroll within the panel for all 7 ·
Security Posture 4
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.
Resources
Every other property we hold for RightNow AI — 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.
Get Started 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/rightnow · machine-readable index on apis.io