# AIDataParser

**Canonical:** https://apis.io/providers/aidataparser-com/  
**Website:** https://aidataparser.com/  
**APIs profiled:** 1

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.

## Kin Score — 26.6 / 100 (thin)

Scored 2026-11-02 under rubric 0.26.0. Trend: flat (+0.0 from 26.6).

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 25.0 |
| Contract Governance | 22.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 28.6 |
| Access Clarity | 31.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 17.3 (matched via fallback).

## Agent readiness — 22.2 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | verified |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | distinct |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **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.

## Security (1)

- **Aidataparser Com Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Data Extraction, JSON, PDF, Image Processing

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/aidataparser-com/). Scores are computed from the provider's own public artifacts under a published rubric.