agentutility(7)$ man extract
/extract
NAME
extract — pull structured entities out of raw text instead of hand-parsing it yourself
SYNOPSIS
POST https://x402.agentutility.ai/extract
Content-Type: application/json
X-PAYMENT: <signed-transferWithAuthorization>
{ ... }↳ first call →
402 Payment Required. Sign USDCtransferWithAuthorization, retry with theX-PAYMENT header.DESCRIPTION
Pull structured entities out of raw text instead of hand-parsing it yourself. Send text and get back people, organizations, locations, dates, emails, urls, phone_numbers, and monetary amounts, each with a verbatim mention so you can locate it back in the source, plus a total_entities count. Amounts come with a parsed numeric value and currency code when the model can infer them, and every category returns an empty array rather than omitting the field when nothing matches. Use it as a named entity recognition API, NER extractor, or information extraction tool for contracts, emails, articles, or any text where you need names, dates, and numbers pulled out cleanly.
INPUT — request schema
| property | type | description | req? |
|---|---|---|---|
| text | string | Text to extract entities from. Max 25k chars. | required |
OUTPUT — response shape
| field | type | description |
|---|---|---|
| entities | object | Object with arrays: people, organizations, locations, dates, emails, urls, phone_numbers, amounts (each amount has mention/value/currency). |
| total_entities | number | Count of named entities extracted across all categories (people, orgs, locations, dates, emails, URLs, phones, money). |
| input_chars | number | Character length of the input text submitted for entity extraction. |
| model | string | Identifier of the Mistral model used to perform the entity extraction. |
EXAMPLES — two ways to call
EXAMPLE 1 · curl
curl -X POST https://x402.agentutility.ai/extract \
-H 'Content-Type: application/json' \
-d '{ }'first response =
402 Payment Required with payment requirements; sign + retry with X-PAYMENT.EXAMPLE 2 · mcp
# Install the MCP package for this endpoint's cluster npx -y @agentutility/mcp-<cluster> # Required: EVM private key with USDC on Base export X402_PRIVATE_KEY=0x... # Then call the extract tool from your MCP-aware agent.
MCP server handles payment automatically — your coding agent just calls the tool by name.
METADATA
- tags
- nlpnerentitiesextractionaillm
- env
- VENICE_API_KEY
- methods
- POST
- cluster
- wordmint
- price
- $0.02 USDC per call
ADJACENT — other endpoints in wordmint
| endpoint | description | price |
|---|---|---|
| alt-text-generator | Turns a public image URL into ready-to-use text: concise alt text for screen readers, a natural-language description, OCR text pulled fro… | $0.02 |
| classify | Sort text into categories you define on the spot, no training run required. | $0.02 |
| classify-text | Sorts a piece of text into categories you define on the fly, no training or fixed label set required. | $0.02 |
| describe-image | Describes images with a vision LLM across five modes: describe, alt_text (accessibility, <=125 chars), OCR (extract visible text), tags (… | $0.02 |
| detect-pii | Detects PII in text: emails, phones, SSNs, credit cards, addresses, names, IPs, and API tokens. | $0.02 |
| email-draft | Writes emails with AI: subject, body, salutation, and sign-off. | $0.02 |
| image-describe | Get a vision model's read on an image: a description, alt text, extracted text, tags, or a caption. | $0.02 |
| image-description | Takes a public image URL and returns an AI vision description, alt text, OCR text, tags, or caption depending on mode. | $0.02 |
SEE ALSO