AIDataParser

AIDataParser provides a schema‑first data‑extraction API that turns messy PDFs and images into structured JSON for AI agents and developers. It offers credit‑based pricing, a free tier with 50 credits, and a quick‑start guide. The service emphasizes clean JSON output, confidence scoring, and easy integration via a simple POST request.

AIDataParser is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Data Extraction, JSON, PDF, and Image Processing.

The AIDataParser catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

AIDataParser’s developer surface includes documentation, API reference, pricing, getting-started guide, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.6/100 thin ▬ flat Agent 22/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

1 API

Artificial Intelligence Data Extraction JSON PDF Image Processing

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 26.6/100 · thin

Contract Quality 5.3 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 4.6 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 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/.

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

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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

10 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 25.0 — up to +18.8 composite points
Developer Ergonomics scores 28.6 — up to +14.3 composite points
Access Clarity scores 31.6 — up to +13.7 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/aidataparser-com/apis.yml: open an issue on github.com/api-evangelist/aidataparser-com 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 2

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.

JSON

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

PDF

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

APIs 1

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

AIDataParser API

AIDataParser API as documented publicly: 8 operations. Contract generated from the documentation by API Evangelist (2026-11-01); not the provider's own document.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Aidataparser Com Context

12 classes · 20 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AIDataParser API Rules

11 rules · 9 errors 1 warnings 1 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

GetV1CreditsResponse

4 properties

JSON SCHEMA

PostV1McpRequest

4 properties

JSON SCHEMA

PostV1ParseDocumentRequest

2 properties

JSON SCHEMA

PostV1ParseDocumentResponse

6 properties

JSON SCHEMA

PostV1ParseTextRequest

5 properties

JSON SCHEMA

PostV1ParseTextResponse

6 properties

JSON SCHEMA

Security Posture 1

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

Aidataparser Com Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

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: aidataparser-com
name: AIDataParser
description: AIDataParser provides a schema‑first data‑extraction API that turns messy PDFs and images into structured JSON
  for AI agents and developers. It offers credit‑based pricing, a free tier with 50 credits, and a quick‑start guide. The
  service emphasizes clean JSON output, confidence scoring, and easy integration via a simple POST request.
url: https://artifacts.apis.io/aidataparser-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-02'
  method: derived
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Data Extraction
- JSON
- PDF
- Image Processing
tags_raw:
- AI
- Data Extraction
- JSON
- PDF
- Image Processing
- API
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/aidataparser-com-rules.yml
- type: JSONLD
  url: json-ld/aidataparser-com-context.jsonld
- type: Vocabulary
  url: vocabulary/aidataparser-com-vocabulary.yml
- type: DataModel
  url: data-model/aidataparser-com-data-model.yml
- type: Conformance
  url: conformance/aidataparser-com-conformance.yml
- type: LLMsTxt
  url: llms/aidataparser-com-llms.txt
- type: Hosts
  url: hosts/aidataparser-com-hosts.yml
- type: Vendors
  url: vendors/aidataparser-com-vendors.yml
- type: TermsOfService
  url: https://aidataparser.com/terms
- type: PrivacyPolicy
  url: https://aidataparser.com/privacy
- type: DomainSecurity
  url: security/aidataparser-com-domain-security.yml
- type: Website
  url: https://aidataparser.com/
- type: Documentation
  url: https://aidataparser.com/docs
- type: APIReference
  url: https://aidataparser.com/openapi.json
- type: Pricing
  url: https://aidataparser.com/pricing
- type: GettingStarted
  url: https://aidataparser.com/docs#quickstart
apis:
- aid: aidataparser-com:aidataparser-com-api
  name: AIDataParser API
  description: 'AIDataParser API as documented publicly: 8 operations. Contract generated from the documentation by API Evangelist
    (2026-11-01); not the provider''s own document.'
  humanURL: https://aidataparser.com/use-cases/pdf-to-json-api
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/aidataparser-com-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/aidataparser-com-post-v1-parse-document-request-schema.json
  - type: JSONSchema
    url: json-schema/aidataparser-com-post-v1-parse-text-response-schema.json
  - type: JSONSchema
    url: json-schema/aidataparser-com-post-v1-parse-text-request-schema.json
  - type: JSONSchema
    url: json-schema/aidataparser-com-post-v1-parse-document-response-schema.json
  - type: JSONSchema
    url: json-schema/aidataparser-com-get-v1-credits-response-schema.json
  - type: JSONSchema
    url: json-schema/aidataparser-com-post-v1-mcp-request-schema.json
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AIDataParser API — frequently asked questions

Does AIDataParser have an API?

Yes. APIs.io lists 1 API from AIDataParser, including AIDataParser API.

Is there an OpenAPI specification for the AIDataParser API?

Yes. APIs.io indexes 1 OpenAPI specification for AIDataParser, each linked for download from this page.

How do I authenticate with the AIDataParser API?

AIDataParser uses bearer-token authentication.

Is the AIDataParser API ready for AI agents?

AIDataParser has a Kin Score of 26.6 out of 100 (thin) and an Agent Readiness score of 22.2 (agent-aware), scored by API Evangelist on 2026-11-02.

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