AccurAI API

Name: AccurAI API
Brand: AccurAI API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLMl InferenceapiKey2 EndpointsREST

For Agents

Submit a document for AI-powered extraction and retrieve the structured fields back so agents can pull invoice, receipt, or form data into downstream systems.

Install Jentic One Beta

Connect the AccurAI API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AccurAI API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with AccurAI API.

Upload a document for AI extraction at POST /documents

Retrieve the extracted structured result by document id at GET /documents/{id}

Process invoice, receipt, and form documents via the same submission endpoint

GET STARTED

Start building with AccurAI API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use AccurAI API for, with concrete tasks.

★ Invoice Capture into an Accounting System

An accounts-payable workflow uploads incoming PDF invoices to POST /documents, polls GET /documents/{id} until extraction completes, and writes the structured fields (vendor, total, line items) into an accounting system. This replaces manual invoice keying with an extraction pipeline and reduces approval cycle time.

Upload a PDF invoice via POST /documents, poll GET /documents/{id} until status is complete, and return the vendor, total, and line items

Receipt Capture for Expense Reports

A travel and expense app accepts photographed receipts from employees, submits each to AccurAI for extraction, and pre-fills the expense report with merchant, date, total, and category. Employees confirm and submit, instead of typing values from a small receipt photo. The two-endpoint surface keeps integration narrow and predictable.

Submit a receipt JPG to POST /documents, retrieve the extraction, and return merchant, date, and total fields

Form Data Extraction Pipeline

An ops team digitizes paper forms - onboarding forms, claim forms, intake forms - by scanning them and pushing each scan to AccurAI. The extracted fields land in a database. Compared to manual transcription, throughput goes from dozens per day per person to hundreds, with the same person reviewing exceptions instead of typing every form.

Process a stack of scanned onboarding forms and write each extraction result into a CSV row keyed by document id

Agent-Driven Document Triage via Jentic

An AI assistant that helps process inbound vendor email uses AccurAI through Jentic to extract attached invoices and receipts before classifying them. The agent searches Jentic for the right operation, uploads each attachment, and reads back the structured data. The API key never enters the agent's context window.

Through Jentic, search 'extract structured fields from a PDF invoice', load POST /documents, submit the attachment, and return the extraction

Key Endpoints

2 endpoints — jentic publishes the only available openapi specification for accurai api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/documents

Submit a document for AI extraction

GET

/documents/{id}

Retrieve the extracted result for a submitted document

POST

/documents

Submit a document for AI extraction

GET

/documents/{id}

Retrieve the extracted result for a submitted document

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Your AccurAI API key is stored once, encrypted, by your own Jentic One instance and injected as the Authorization header at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'extract structured fields from a PDF invoice', and Jentic returns POST /documents with the upload schema and the matching GET /documents/{id} retrieval operation so the agent calls the right endpoint without browsing the reference docs.

Time to first call

FAQs

Specific to using AccurAI API through Jentic.

Why is there no official OpenAPI spec for AccurAI API?

AccurAI does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call AccurAI API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the AccurAI API use?

An API key sent in the Authorization header on each request. Through Jentic, the key is stored encrypted in the vault and injected at execution time, so the raw value never enters the agent's context.

Can I extract line items from invoices with the AccurAI API?

Yes. POST /documents accepts an invoice and the extraction returned by GET /documents/{id} includes the structured fields the model was trained for, typically vendor, totals, dates, and line items. The exact schema returned depends on the document type detected during processing.

What are the rate limits for the AccurAI API?

The OpenAPI spec does not document explicit rate limits. Treat the API as throughput-bounded by your plan and back off on 429 responses. For batch processing, throttle submissions to a few per second and rely on GET /documents/{id} for asynchronous retrieval.

How do I extract a PDF invoice through Jentic?

Run pip install jentic, then search 'extract structured fields from a PDF invoice'. Jentic returns POST /documents with its input schema. Load it, attach the PDF, execute, then call GET /documents/{id} to retrieve the extraction. Three async calls for the round trip.

Is processing synchronous or do I need to poll?

Submission is via POST /documents and the extracted result is fetched separately via GET /documents/{id}, which means longer documents are best handled by submitting and polling rather than expecting an inline response. Poll with a short backoff (e.g. 1-2 seconds) until the result is available.

Can I limit what my agent is allowed to do with the AccurAI API?

Yes. Because you run Jentic One yourself, your own rules decide which AccurAI operations the agent may call and which credentials it may use. This API exposes just two operations, submitting a document at POST /documents and reading the extraction back at GET /documents/{id}, so you can scope the agent to only those and nothing beyond submit and retrieve runs unless you add it. The AccurAI API key stays under your control and is injected only when a permitted operation executes.