AIDataParser
io.github.shibley/aidataparser
PDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.
This endpoint completed initialize and tools/list. No tool was called.
- Rank
- #5262
- Score
- 80
- Tool tokens
- 2,057
- Tools
- 9
Tools
Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.
try_parse
Run a REAL extraction with no API key, no email and no signup, so you can see the output shape before committing to anything. Pass up to 4000 characters of messy text in `text` (an invoice, a receipt,
create_api_key
Start here if you do not have an AIDataParser API key. Provide the user's `email` and receive a live adp_live_ API key with 50 free credits — no card, no signup form. Configure it on this MCP server a
parse_document
Extract clean, schema-guaranteed JSON from a PDF or image. Provide the document via `url` or `base64`. Pass an optional JSON `schema` to constrain the output shape, and `instructions` to guide extract
parse_text
Extract clean, schema-guaranteed JSON from raw/messy text you already have — scraped web content, email bodies, chat logs, OCR output, or pasted tables. Pass the text in `text`. Use this instead of pa
infer_schema
Given one sample document's `text`, propose a reusable JSON Schema for that document type. Use this when no built-in schema_id fits: infer a schema once, review it, then reuse it as `schema` on parse_
validate
Check whether a JSON object conforms to a JSON `schema` (or a built-in `schema_id` template) and get back a valid flag plus per-field errors. Use this to verify data you already hold — a prior parse r
check_credits
Return the number of extraction credits remaining on the authenticated API key. Free — does not consume a credit.
list_schemas
Return the built-in schema templates you can pass to parse_document as `schema_id` (invoice, receipt, resume, etc.), each with its id and the fields it extracts. Free — does not consume a credit and n
buy_credits
Get a Stripe checkout link for a one-time credit pack, to hand to the user. Packs: `starter` $9 for 500 credits, `growth` $29 for 2,000 credits, `scale` $99 for 10,000 credits. Credits never expire; 1
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