Rerun

Rerun is an open-source data platform — "the unified data layer for physical AI" — for multimodal, multi-rate time-series data from robotics and computer vision. It provides the data primitives to log, store, query, transform, and visualize images, point clouds, tensors, transforms, and other sensor streams from initial recording through production scale. The open-source toolchain (a logging SDK across Python, Rust, and C++, an interactive desktop/web viewer, SQL/dataframe queries, a PyTorch dataloader, the columnar .rrd file format, and a local catalog) is free and dual-licensed MIT OR Apache-2.0; Rerun Hub is the commercial managed backend adding a persistent catalog, byte-range indexing across object stores, dataset streaming to GPUs, SSO, and single-tenant deployment. Rerun's programmatic surface is an SDK plus a gRPC data server and a Viewer MCP server, rather than a hosted REST API. Backed by Costanoa Ventures, Point Nine, and Seedcamp.

Rerun is profiled on the APIs.io network. Tagged areas include Company, Dev Tools Ai, Robotics, Computer Vision, and Physical AI.

Rerun’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.1/100 emerging ▬ flat Agent 0/100 human only Front door AI 4/6 moderate Heartbeat 98/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

CompanyDev Tools AiRobotics Computer Vision Physical AI Data Visualization SDK Open Source MCP

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 24.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 4.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/rerun/"><img src="https://apis.io/badge/rerun/card.svg" alt="Rerun on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 23.7 — up to +15.3 composite points
Operational Transparency scores 18.4 — up to +10.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/rerun/apis.yml: open an issue on github.com/api-evangelist/rerun to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	distribution	28.8	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Rerun MCP Server

Rerun ships a first-party local (stdio) MCP server that lets LLM agents see and interact with a running Rerun Viewer. Introduced in Rerun 0.34.0 (2026-07-06) and exposed through...

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Rerun Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Components

Components

Lifecycle

Lifecycle

Conformance

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: rerun
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/rerun.png
name: Rerun
description: Rerun is an open-source data platform — "the unified data layer for physical AI" — for multimodal, multi-rate
  time-series data from robotics and computer vision. It provides the data primitives to log, store, query, transform, and
  visualize images, point clouds, tensors, transforms, and other sensor streams from initial recording through production
  scale. The open-source toolchain (a logging SDK across Python, Rust, and C++, an interactive desktop/web viewer, SQL/dataframe
  queries, a PyTorch dataloader, the columnar .rrd file format, and a local catalog) is free and dual-licensed MIT OR Apache-2.0;
  Rerun Hub is the commercial managed backend adding a persistent catalog, byte-range indexing across object stores, dataset
  streaming to GPUs, SSO, and single-tenant deployment. Rerun's programmatic surface is an SDK plus a gRPC data server and
  a Viewer MCP server, rather than a hosted REST API. Backed by Costanoa Ventures, Point Nine, and Seedcamp.
url: https://raw.githubusercontent.com/api-evangelist/rerun/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- costanoa-ventures
- point-nine
- seedcamp
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Dev Tools Ai
- Robotics
- Computer Vision
- Physical AI
- Data Visualization
- SDK
- Open Source
- MCP
tags_raw:
- Company
- Dev Tools Ai
- Robotics
- Computer Vision
- Physical AI
- Data Visualization
- SDK
- Open Source
- MCP
- Computer-Vision
- Open-Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://rerun.io/blog/rss.xml
  type: BlogRSS
- type: Website
  url: https://rerun.io
- type: Documentation
  url: https://rerun.io/docs/overview/what-is-rerun
- type: APIReference
  url: https://rerun.io/docs/reference/types/archetypes
- type: GettingStarted
  url: https://rerun.io/docs/getting-started/quick-start
- type: Blog
  url: https://rerun.io/blog
- type: Pricing
  url: https://rerun.io/pricing
- type: GitHubOrganization
  url: https://github.com/rerun-io
- type: SignUp
  url: https://rerun.io/pricing
- type: Support
  url: https://discord.gg/PXtCgFBSmH
- type: Packages
  url: packages/rerun-packages.yml
- type: SDKs
  url: packages/rerun-packages.yml
- type: CLI
  url: cli/rerun-cli.yml
- type: Components
  url: components/rerun-components.yml
- type: MCPServer
  url: mcp/rerun-mcp.yml
- type: ChangeLog
  url: changelog/rerun-changelog.yml
- type: Lifecycle
  url: lifecycle/rerun-lifecycle.yml
- type: Conformance
  url: conformance/rerun-conformance.yml
- type: WellKnown
  url: well-known/rerun-well-known.yml
- type: DomainSecurity
  url: security/rerun-domain-security.yml
- type: LLMsTxt
  url: llms/rerun-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Rerun API — frequently asked questions

Does Rerun have an MCP server?

Yes. APIs.io lists 1 MCP server for Rerun: Rerun ships a first-party local (stdio) MCP server that lets LLM agents see and interact with a running Rerun Viewer. Introduced in Rerun 0.34.0 (2026-07-06) and exposed through the bundled CLI as `re

Is the Rerun API ready for AI agents?

Rerun has a Kin Score of 24.1 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/rerun"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/rerun/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/rerun/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.