filedone

filedone is a browser-based toolbox for editing PDFs, scans and images, with a mix of free in-browser utilities and paid AI tools (edit PDF text, extract tables, convert, compress, merge, sign, translate, headshots, and more). Operated by Sarmad Bashir Zargar as a sole proprietorship, filedone emphasises privacy: uploaded files are scheduled for deletion two hours after upload and are not used to train AI models. The service exposes a developer surface for use with AI assistants via MCP.

filedone is listed with 1 API on the APIs.io network. Tagged areas include PDF, Image Processing, Document Conversion, OCR, and AI Tools.

filedone’s developer surface includes sandbox, authentication, documentation, pricing, support, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.1/100 thin Agent 25/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers

PDF Image Processing Document Conversion OCR AI ToolsFile CompressionMCP Productivity

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 34.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.3 / 17

Access Clarity 8.7 / 17

Operational Transparency 3.9 / 11

Contract Governance 1.9 / 10

Discoverability 5.5 / 9

Regulatory Posture 4.3 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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/.

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

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →

7 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 Ask about this →
Developer Ergonomics scores 42.9 — up to +11.4 composite points Ask about this →
Contract Governance scores 18.2 — up to +9.8 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/filedone-ai/apis.yml: open an issue on github.com/api-evangelist/filedone-ai 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 →

Standards implemented 3

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)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

filedone MCP

filedone's remote MCP (Model Context Protocol) server over Streamable HTTP lets AI assistants use filedone's PDF and image tools (merge, split, compress, convert, OCR, extract t...

MCP Servers 1

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

filedone MCP Server

MCP SERVER

filedone API pricing

Prices published by filedone, read 2026-11-07 from filedone.ai/pricing.

Plan	Price
Mini	$3
Starter	$9
Plus	$19
Pro	$49
Desk	$12/ month
Office	$39/ month

Plan details, limits and sources →

Rate limits

Concurrent jobs per account: A free account runs one job at a time. If the assistant starts another run before the first one finishes, filedone asks
Files per hour per account: An account can send up to 120 files an hour through the server.
Download link lifetime: The download links in the assistant's answers stop working after five minutes.

All 4 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

filedone Plans Pricing

6 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

filedone Rate Limits

4 limits

RATE LIMITS

Security Posture 2

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

filedone Authentication

2 schemes

SECURITY

filedone Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

filedone Scopes

2 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

Sandbox

Sandbox

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Lifecycle

Lifecycle

Conformance

Conformance

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

OAuthScopes

OAuthScopes

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

RateLimits

RateLimits

Deprecation

Deprecation

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: filedone-ai
name: filedone
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  probe_state: covered
  source:
  - plans
  - authentication
  - scopes
  - rate-limits
  - security
  - sandbox
  generated: '2026-11-13'
  method: derived
image: https://filedone.ai/og.png
description: 'filedone is a browser-based toolbox for editing PDFs, scans and images, with a mix of free in-browser utilities
  and paid AI tools (edit PDF text, extract tables, convert, compress, merge, sign, translate, headshots, and more). Operated
  by Sarmad Bashir Zargar as a sole proprietorship, filedone emphasises privacy: uploaded files are scheduled for deletion
  two hours after upload and are not used to train AI models. The service exposes a developer surface for use with AI assistants
  via MCP.'
url: https://artifacts.apis.io/filedone-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-07 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-07'
modified: '2026-11-07'
tags:
- PDF
- Image Processing
- Document Conversion
- OCR
- AI Tools
- File Compression
- MCP
- Productivity
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: RateLimits
  url: rate-limits/filedone-ai-rate-limits.yml
- type: Plans
  url: plans/filedone-ai-plans-pricing.yml
- type: Conventions
  url: conventions/filedone-ai-conventions.yml
- type: Sandbox
  url: sandbox/filedone-ai-sandbox.yml
- type: Authentication
  url: authentication/filedone-ai-authentication.yml
- type: OAuthScopes
  url: scopes/filedone-ai-scopes.yml
- type: Deprecation
  url: lifecycle/filedone-ai-lifecycle.yml
- type: Lifecycle
  url: lifecycle/filedone-ai-lifecycle.yml
- type: Conformance
  url: conformance/filedone-ai-conformance.yml
- type: LLMsTxt
  url: llms/filedone-ai-llms.txt
- type: WellKnown
  url: well-known/filedone-ai-well-known.yml
- type: Hosts
  url: hosts/filedone-ai-hosts.yml
- type: Vendors
  url: vendors/filedone-ai-vendors.yml
- type: DomainSecurity
  url: security/filedone-ai-domain-security.yml
- type: Website
  url: https://filedone.ai/
- type: DeveloperPortal
  url: https://filedone.ai/developers
- type: Documentation
  url: https://filedone.ai/guides
- type: Pricing
  url: https://filedone.ai/pricing
- type: Support
  url: https://filedone.ai/support
- type: TermsOfService
  url: https://filedone.ai/terms
- type: PrivacyPolicy
  url: https://filedone.ai/privacy
apis:
- name: filedone MCP
  description: filedone's remote MCP (Model Context Protocol) server over Streamable HTTP lets AI assistants use filedone's
    PDF and image tools (merge, split, compress, convert, OCR, extract tables, translate, remove background, upscale, edit
    PDF text and more). The provider publishes a public MCP server card at /mcp/server-card listing 26 tools; calling the
    /mcp endpoint requires OAuth sign-in with a filedone account or a Bearer API key (fdk_...).
  humanURL: https://filedone.ai/developers
  baseURL: https://api.filedone.ai/mcp
  tags:
  - MCP
  - PDF
  - Image Processing
  - OCR
  - Document Conversion
  properties:
  - type: DeveloperPortal
    url: https://filedone.ai/developers
  - type: MCPServer
    url: https://api.filedone.ai/mcp
  aid: filedone-ai:filedone-mcp
x-image: https://filedone.ai/og.png
x-coverage:
  state: covered
  reason: verified
  detail: Website, link-property pointers, description and tags set from the provider's own site; all pointers probed 200
    in the preflight dossier (2026-11-07).
  evidence:
  - url: https://filedone.ai/
    status: 200
  - url: https://filedone.ai/developers
    status: 200
  - url: https://filedone.ai/guides
    status: 200
  - url: https://filedone.ai/pricing
    status: 200
  - url: https://filedone.ai/support
    status: 200
  - url: https://filedone.ai/terms
    status: 200
  - url: https://filedone.ai/privacy
    status: 200
x-enrichment:
  date: '2026-11-07'
  status: enriched
  artifacts_added: 22
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

filedone API — frequently asked questions

Does filedone have an API?

Yes. APIs.io lists 1 API from filedone, including filedone MCP.

How do I authenticate with the filedone API?

filedone documents its authentication (2 schemes). The details are profiled on APIs.io as filedone Authentication.

How much does the filedone API cost?

filedone publishes its prices; its Mini plan is $3 as of 2026-11-07. APIs.io lists 6 pricing plans for filedone, with each plan's price, limits and inclusions under Pricing on this page.

Does filedone have an MCP server?

Yes. APIs.io lists 1 MCP server for filedone.

Is the filedone API ready for AI agents?

filedone has a Kin Score of 34.1 out of 100 (thin) and an Agent Readiness score of 24.7 (agent-aware), scored by API Evangelist on 2026-11-13.

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.

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