framefetch-net
FrameFetch provides a video data API designed for AI agents, offering transcript, metadata, frame extraction, and on-screen text OCR from social video URLs such as YouTube, TikTok, Reddit, Instagram, and Pinterest. The service is agent‑first, supporting REST, MCP, and OpenAPI interfaces, with a free tier allowing limited calls per day and paid usage priced per call. It aims to simplify video content analysis for developers building AI applications.
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 framefetch-net the way a machine reads it — 32 machine-readable artifacts across 1 API, 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 — framefetch-net scores 53.3/100 (developing), with a separate agent-readiness read of 48/100 (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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-31 · rubric v0.25.0
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How we profile framefetch-net
Each block below is one kind of artifact we hold for framefetch-net. 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 17
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.
framefetch-net Account API
The Account API from framefetch-net — 1 operation(s) for account.
framefetch-net Batch API
The Batch API from framefetch-net — 1 operation(s) for batch.
framefetch-net Billing API
The Billing API from framefetch-net — 2 operation(s) for billing.
framefetch-net Checkout API
The Checkout API from framefetch-net — 1 operation(s) for checkout.
framefetch-net Demo API
The Demo API from framefetch-net — 1 operation(s) for demo.
framefetch-net Extract API
The Extract API from framefetch-net — 1 operation(s) for extract.
framefetch-net FrameFetch API
The FrameFetch API API from framefetch-net — 0 operation(s) for framefetch api.
framefetch-net Frames API
The Frames API from framefetch-net — 1 operation(s) for frames.
framefetch-net Healthz API
The Healthz API from framefetch-net — 1 operation(s) for healthz.
framefetch-net Keys API
The Keys API from framefetch-net — 1 operation(s) for keys.
framefetch-net Metadata API
The Metadata API from framefetch-net — 1 operation(s) for metadata.
framefetch-net Platforms API
The Platforms API from framefetch-net — 1 operation(s) for platforms.
framefetch-net Status API
The Status API from framefetch-net — 1 operation(s) for status.
framefetch-net Transcript API
The Transcript API from framefetch-net — 1 operation(s) for transcript.
framefetch-net Usage API
The Usage API from framefetch-net — 1 operation(s) for usage.
framefetch-net Watch API
The Watch API from framefetch-net — 2 operation(s) for watch.
framefetch-net Top Up API
The Top Up API from framefetch-net — 1 operation(s) for top up.
Scroll within the panel for all 17 ·
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.
Agent Skills 1
An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.
Packaged agent skills for driving this provider's APIs from an AI assistant.
framefetch-net-extract-video-data
AGENT SKILLPricing 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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Framefetch Net Webhooks
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Framefetch Net Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
framefetch-net API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AccountSummary
JSON SCHEMABatchRequest
JSON SCHEMABatchResult
JSON SCHEMAExtractRequest
JSON SCHEMAExtractResult
JSON SCHEMAWatchRequest
JSON SCHEMASecurity Posture 2
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 framefetch-net — 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
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/framefetch-net · machine-readable index on apis.io
This is an independent, third-party profile of framefetch-net, 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.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.