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Schema library finance

Return an angel or seed deal from a public page.

Pass this JSON Schema and a public source URL to/extract/json. Capture publicly announced deal participants, stage, amount, date, and source links.

tabstack.ai/pricing

TEXT

MARKDOWN

LINKS

extract.tsTypeScript
const res = await client.extract.json({
  url: 'https://example.com/pricing',
  json_schema: {
    type: 'object',
    properties: {
      plan: { type: 'string' },
      price: { type: 'number' },
    },
  },
})

What it captures

Fields in this angel or seed deal.

Early-stage funding round announcement including angel, pre-seed, seed, convertible note, and SAFE deals.

FieldTypeWhat it holds
company_namestring, requiredName of the company that raised funding.
company_domainstringWebsite domain of the company.
founder_namesarrayNames of the company founders.
round_typestring, requiredType of funding round.
amount_usdnumberAmount raised in USD.
announced_datestring, requiredDate the deal was announced.
lead_investor_namestringName of the lead investor.
lead_investor_typestringType of lead investor.
co_investorsarrayList of co-investors in the round.
valuation_cap_usdnumberValuation cap for convertible note or SAFE in USD.
discount_pctnumberDiscount percentage for convertible instruments.
accelerator_namestringName of the accelerator program if applicable.
accelerator_batchstringAccelerator batch or cohort identifier.
company_descriptionstringBrief description of what the company does.
company_industrystringIndustry vertical of the company.
use_of_fundsstringStated use of the raised funds.
source_typestringType of source where this deal was found.
page_titlestringTitle of the source page. Tabstack auto-fills this from page metadata when left empty.
faviconstringFavicon URL of the source page. Tabstack auto-fills this from page metadata when left empty.

Example

Inspect and validate the response shape.

The example below is generated from the schema to demonstrate its structure. Edit the object or paste a real response to validate it in your browser.

What it checks

Pass or fail, and the first reason why.

Whether the text parses as JSON, whether the top level is an object, and whether each field the schema requires is present at the declared type. A null is allowed anywhere. Every key you ask for is present. A field the page does not state can come back null, empty, a placeholder number, or a guessed value. Validate values, not just keys.

Example data, not a live response.

Usage

Send the schema with your source URL.

The schema travels with the request rather than living on your account, so the same call can send a trimmed version for one page and the full one for another. Every key you ask for is present. A field the page does not state can come back null, empty, a placeholder number, or a guessed value. Validate values, not just keys.

angel.tsTypeScript
import schema from './angel-seed-deal.json'

const res = await client.extract.json({
  url: 'https://example.com/pricing',
  json_schema: schema,
})

Adaptation

Make the schema match your application.

The schema is a starting point, not a guarantee that every source page contains every field. Three things are worth doing before you write one into your system, and the schema-authoring guide covers the rest.

Remove what you do not need

A shorter schema is a smaller response and fewer fields to handle.

Describe the ambiguous ones

A description tells Extract what to look for when a label could mean two things.

Validate before you store

Check the returned object against the schema rather than trusting it.

Related

Related schemas

Other schemas in this category.

START FREE

Try this schema on a public page.

Start with 10,000 free credits. No credit card required.

curl -X POST https://api.tabstack.ai/v1/extract/json -H "Authorization: Bearer $TABSTACK_API_KEY" -d '{"url":"...","json_schema":{...}}'