Instance
Instance (Instance Labs) is a Y Combinator-backed (Summer 2026) company building a verification layer for robot learning. Their platform ingests raw robot rollouts and episode footage from any robot or camera angle and automatically judges whether a task was completed successfully, returning a verdict with supporting evidence and a detailed subtask breakdown. The company positions itself as the ground-truth / success-detection layer that lets robotics teams trust their training data and train policies faster, and reports its verifier reaching higher accuracy than frontier vision-language models at a fraction of the latency across 10,000+ human-labeled episodes on 7 robot platforms. Founded by MIT computer scientists with backgrounds at SpaceX, AWS, and NASA JPL. Today the product is exposed as a hosted demo (submit videos or capture a live rollout for verification); there is no publicly documented developer API, SDK, or OpenAPI at this time.
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 Instance the way a machine reads it — 31 machine-readable artifacts across 28 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 — Instance scores 25.2/100 (emerging), with a separate agent-readiness read of 56/100 (agent ready). 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 Instance
Each block below is one kind of artifact we hold for Instance. 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 28
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.
Instance Archive API
The Archive API from Instance — 1 operation(s) for archive.
Instance Audit API
The Audit API from Instance — 3 operation(s) for audit.
Instance Batch API
The Batch API from Instance — 2 operation(s) for batch.
Instance Captions API
The Captions API from Instance — 1 operation(s) for captions.
Instance Clip API
The Clip API from Instance — 1 operation(s) for clip.
Instance Download API
The Download API from Instance — 1 operation(s) for download.
Instance Example API
The Example API from Instance — 1 operation(s) for example.
Instance Examples API
The Examples API from Instance — 1 operation(s) for examples.
Instance Fast API
The Fast API from Instance — 1 operation(s) for fast.
Instance Feed API
The Feed API from Instance — 2 operation(s) for feed.
Instance H1 API
The H1 API from Instance — 1 operation(s) for h1.
Instance Health API
The Health API from Instance — 1 operation(s) for health.
Instance Ingest API
The Ingest API from Instance — 1 operation(s) for ingest.
Instance Job API
The Job API from Instance — 1 operation(s) for job.
Instance Live Example API
The Live Example API from Instance — 1 operation(s) for live example.
Instance Live Example Video API
The Live Example Video API from Instance — 1 operation(s) for live example video.
Instance Live State API
The Live State API from Instance — 1 operation(s) for live state.
Instance Opus API
The Opus API from Instance — 1 operation(s) for opus.
Instance Qr API
The Qr API from Instance — 1 operation(s) for qr.
Instance Record API
The Record API from Instance — 1 operation(s) for record.
Instance Robot Rollout Verifier API
The Robot Rollout Verifier API from Instance — 1 operation(s) for robot rollout verifier.
Instance Segment API
The Segment API from Instance — 1 operation(s) for segment.
Instance Subtasks API
The Subtasks API from Instance — 1 operation(s) for subtasks.
Instance Subtasks Trace API
The Subtasks Trace API from Instance — 1 operation(s) for subtasks trace.
Instance Upload API
The Upload API from Instance — 2 operation(s) for upload.
Instance Usage API
The Usage API from Instance — 2 operation(s) for usage.
Instance Verify API
The Verify API from Instance — 3 operation(s) for verify.
Instance Verify Frames API
The Verify Frames API from Instance — 1 operation(s) for verify frames.
Scroll within the panel for all 28 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
instance-mcp.yml
MCP SERVERSecurity 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Instance — 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 1
Portal, sign-up, and the first successful call
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/instance · machine-readable index on apis.io