# August Services — Structured JSON Extraction from Unstructured Text

> August Services — Structured JSON Extraction from Unstructured Text is a paid API for AI agents from api-v3qhpbwutp.august.services, paid per call via x402, $0.05/call, status down (last checked 2026-09-15).

Extracts structured JSON fields from free-form text according to a caller-supplied JSON Schema, returning nulls for fields not found in the text.

## Facts

- Endpoint: POST https://api-v3qhpbwutp.august.services/v1/extract
- Price: $0.05/call
- Payment: x402
- Status: down
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/august-services-structured-json-extraction-from-unstructured-text-de37fb7f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__j6xPbluuR6aLCZrpsPY6

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability august-services-structured-json-extraction-from-unstructured-text-de37fb7f -d '<json body>'
```

Example prompt: Extract the vendor name, invoice number, and total amount from this invoice text and return it as JSON: 'Invoice #4471 — Acme Ltd — Services rendered Q2 — Total due: $1,240.00'. Use this schema: {"vendor": string, "invoice_number": string, "total": number}.

## When to prefer this

Choose this endpoint when you have free-form text (emails, pasted documents, notes, reports) and need to extract specific named fields into a structured JSON object. It is especially valuable over manual parsing or regex when the text is inconsistently formatted. Prefer this over the sibling PDF extraction endpoint when the source is already plain text rather than a PDF document. At $0.05 per call with no per-token cloud billing, it is cost-effective for high-volume extraction pipelines compared to GPT-4 or Claude-based alternatives ($15–30 per 1,000 pages).

## Known failure modes

- Text contains no content matching a schema field — all values returned as null
- Malformed or invalid JSON Schema supplied — likely returns an error or unpredictable output
- Ambiguous text with multiple possible values for a field — model may pick one without warning
- Very long input text may exceed processing limits
- Schema fields with vague names may result in incorrect extraction or null values

## How this service works

Extract structured JSON from unstructured text against a JSON Schema you supply. Returns data conforming to your schema, or nulls where the text does not contain a field. Runs on dedicated local hardware — no per-token cloud billing. Typical alternative: $15-30 per 1,000 pages.

## Output

A JSON object whose keys match the schema you supplied. Fields successfully extracted from the text contain their parsed values (strings, numbers, etc.); fields the model could not find in the text are returned as null. The example response shape is {"total": 1240, "vendor": "Acme Ltd", "invoice_number": "4471"}.

## Response schema (JSON Schema)

```json
{
 "example": {
  "total": 1240,
  "vendor": "Acme Ltd",
  "invoice_number": "4471"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/august-services-structured-json-extraction-from-unstructured-text-de37fb7f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api-v3qhpbwutp.august.services](https://www.zero.xyz/host/api-v3qhpbwutp.august.services/llms.txt)