framelane-io

FrameLane provides a professional video editing and rendering API designed for AI agents. It enables developers to programmatically create, preview, and render high‑quality video content at scale, supporting 4K output in seconds. Built with Rust and GPU acceleration, the service offers a stateful timeline, extensive toolset, and flexible pricing for both beta users and enterprise customers. The platform aims to simplify video production workflows for AI‑driven applications, offering a robust MCP/SDK for seamless integration.

framelane-io is listed with 1 API on the APIs.io network. Tagged areas include Video Editing, Rendering API, AI Agents, GPU Rendering, and Video Production.

The framelane-io catalog on APIs.io includes 1 event-driven AsyncAPI specification.

framelane-io’s developer surface includes changelog, authentication, getting-started guide, API reference, documentation, pricing, engineering blog, and 18 more developer resources.

49.3/100 developing Agent 50/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 API
Video EditingRendering APIAI AgentsGPU RenderingVideo ProductionSDK

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
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/.
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Agent readiness — checks not met, largest first (exact, from this profile):
  • Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
  • Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
  • Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
  • Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
  • Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's
  • Agent Skills +5 pts — skills artifact present, graded by who authored it
3 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/framelane-io/apis.yml: open an issue on github.com/api-evangelist/framelane-io 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Framelane API

Framelane renders video and runs AI media tasks via a REST API.

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Framelane Io Rate Limits

5 limits

RATE LIMITS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 3

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

Framelane Io Authentication

1 scheme

SECURITY

Framelane Io Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Framelane Io Vulnerability Disclosure

no policy recorded

SECURITY

Resources

Get Started 1

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 4

Pagination, idempotency, versioning, errors, and events

Access & Security 4

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 3

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: framelane-io
name: framelane-io
image: https://framelane.io/logo.png
description: FrameLane provides a professional video editing and rendering API designed for AI agents. It enables developers
  to programmatically create, preview, and render high‑quality video content at scale, supporting 4K output in seconds. Built
  with Rust and GPU acceleration, the service offers a stateful timeline, extensive toolset, and flexible pricing for both
  beta users and enterprise customers. The platform aims to simplify video production workflows for AI‑driven applications,
  offering a robust MCP/SDK for seamless integration.
url: https://artifacts.apis.io/framelane-io/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Video Editing
- Rendering API
- AI Agents
- GPU Rendering
- Video Production
- SDK
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: RateLimits
  url: rate-limits/framelane-io-rate-limits.yml
- type: Plans
  url: plans/framelane-io-plans-pricing.yml
- type: Webhooks
  url: asyncapi/framelane-io-webhooks.yml
- type: ChangeLog
  url: changelog/framelane-io-changelog.yml
- type: Idempotency
  url: conventions/framelane-io-conventions.yml
- type: Conventions
  url: conventions/framelane-io-conventions.yml
- type: Authentication
  url: authentication/framelane-io-authentication.yml
- type: Conformance
  url: conformance/framelane-io-conformance.yml
- type: LLMsTxt
  url: llms/framelane-io-llms.txt
- type: AgentCard
  url: a2a/framelane-io-a2a.yml
- type: WellKnown
  url: well-known/framelane-io-well-known.yml
- type: Hosts
  url: hosts/framelane-io-hosts.yml
- type: Vendors
  url: vendors/framelane-io-vendors.yml
- type: Security
  url: https://framelane.io/security
- type: ChangeLog
  url: https://docs.framelane.io/introduction/changelog
- type: GettingStarted
  url: https://docs.framelane.io/introduction/quickstart
- type: APIReference
  url: https://docs.framelane.io/api-reference/introduction
- type: VulnerabilityDisclosure
  url: security/framelane-io-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/framelane-io-domain-security.yml
- type: Website
  url: https://framelane.io/
- type: Documentation
  url: https://docs.framelane.io/
- type: Pricing
  url: https://framelane.io/pricing
- type: Blog
  url: https://framelane.io/blog
- type: TermsOfService
  url: https://framelane.io/terms
- type: PrivacyPolicy
  url: https://framelane.io/privacy
apis:
- name: Framelane API
  description: Framelane renders video and runs AI media tasks via a REST API.
  humanURL: https://docs.framelane.io/api-reference/introduction
  baseURL: https://api.framelane.io
  aid: framelane-io:framelane-api
x-coverage:
  state: gated
  reason: partner-login
  method: derived
  generated: '2026-10-30'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company serves an API surface but requires credentials before any description of it can be read
  evidence:
  - url: https://docs.framelane.io/openapi.json
    status: null
  - url: https://docs.framelane.io/mcp
    status: null
  - url: https://api.framelane.io/openapi.json
    status: null
  - url: https://api.framelane.io/mcp
    status: 401
  - url: https://framelane.io/
    status: 200
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 28
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

framelane-io API — frequently asked questions

Does framelane-io have an API?

Yes. APIs.io lists 1 API from framelane-io, including Framelane API.

How do I authenticate with the framelane-io API?

framelane-io documents its authentication (1 scheme). The details are profiled on APIs.io as Framelane Io Authentication.

How much does the framelane-io API cost?

APIs.io lists 3 pricing plans for framelane-io, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the framelane-io API ready for AI agents?

framelane-io has a Kin Score of 49.3 out of 100 (developing) and an Agent Readiness score of 50.2 (agent-ready), scored by API Evangelist on 2026-10-31.

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