---

name: venice-augment
description: Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/DOCX/XLSX/plain text, multipart, up to 25MB, JSON or plain text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit), and POST /augment/search (Brave ZDR or anonymized Google; structured title/url/content/date results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.

Venice Augment (text parse / scrape / search)

Three lightweight helpers for agent pipelines that need document text, web pages, or search results without spinning up your own crawler.

Endpoint	Input	Output	Privacy
POST /augment/text-parser	multipart/form-data file (PDF / DOCX / XLSX / plain text, ≤ 25 MB)	{ text, tokens } JSON or plain text	In-memory only, zero retention
POST /augment/scrape	{ url }	{ url, content (markdown), format: "markdown" }	Zero retention
POST /augment/search	{ query, limit?, search_provider? }	{ query, results: [{ title, url, content, date }] }	Brave ZDR / Google anonymized; zero retention

All three accept Bearer API key or SIWE (x402 wallet). All three are priced dynamically (

.001–.00).

POST /augment/text-parser — extract text from documents

Request

Always multipart/form-data:

Field	Notes
file	Required. PDF, DOCX, XLSX, or plain text. Max 25 MB.
response_format	json (default) or text.

curl -X POST https://api.venice.ai/api/v1/augment/text-parser \
  -H "Authorization: Bearer " \
  -F "file=@./contract.pdf" \
  -F "response_format=json"

Response

response_format=json:

{
  "text": "…extracted plaintext…",
  "tokens": 3821
}

response_format=text — raw plaintext body (Content-Type: text/plain).

Tips

• tokens is the count of the extracted text — use it to pre-budget a downstream chat request.
• Scanned image PDFs are not OCR'd. Run images through a vision model via /chat/completions instead.
• Documents are processed in memory only and content is not retained after the response. (Operational metadata like request IDs and error traces may still be logged for debugging — this is a no-content-retention guarantee, not a zero-log guarantee.)

POST /augment/scrape — URL → markdown

Request

{ "url": "https://example.com/article" }

curl -X POST https://api.venice.ai/api/v1/augment/scrape \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{"url":"https://example.com"}'

Response

{
  "url": "https://example.com",
  "content": "# Example Domain\n\nThis domain is for use in …",
  "format": "markdown"
}

Tips

• Blocked sites — X/Twitter and Reddit reject automated access and return 400 immediately. Use enable_x_search or enable_web_search on /chat/completions for those.
• Some sites may return a partial body. Verify with the returned content length before piping into a model.
• Use together with /chat/completions: scrape → feed markdown into messages → summarize.
• For bulk scraping, issue requests in parallel; each is billed independently.

POST /augment/search — web search

Request

Field	Notes
query	1–400 chars. Required.
limit	1–20. Default 10.
search_provider	"brave" (default, ZDR) or "google" (anonymized).

curl -X POST https://api.venice.ai/api/v1/augment/search \
  -H "Authorization: Bearer " \
  -H "Content-Type: application/json" \
  -d '{
    "query": "venice ai api pricing",
    "limit": 5,
    "search_provider": "brave"
  }'

Response

{
  "query": "venice ai api pricing",
  "results": [
    {
      "title": "Pricing — Venice.ai",
      "url": "https://venice.ai/pricing",
      "content": "Venice offers per-token pricing …",
      "date": "2026-04-10"
    }
  ]
}

Providers

Provider	Retention	Bias / filter
brave (default)	Zero Data Retention — Brave never stores queries.	Safesearch defaults, Brave Index.
google	Anonymized — proxied through Venice so Google doesn't see you; Venice doesn't log queries.	Google ranking.

Tips

• Pair with /chat/completions + venice_parameters.enable_web_citations to generate cited answers. See venice-chat.
• For "search + read" pipelines, feed results[*].url into /augment/scrape in parallel.
• query is validated as 1–400 chars. Anything longer is rejected (400 INVALID_REQUEST), not truncated.

Errors

Status	Cause
400	Missing/oversized file, unsupported format, URL on a blocklist (X, Reddit), empty query, query > 400 chars.
401	Missing/invalid Bearer or SIWE.
402	Insufficient balance. x402 wallets receive the PAYMENT-REQUIRED header with base64 top-up instructions; Bearer users get INSUFFICIENT_BALANCE.
403	Unauthorized access.
429	Rate limit tripped. Back off with jitter.
500	Upstream fetch / parse failure. Safe to retry.

Response headers

• X-Balance-Remaining — remaining x402 credit (x402 auth only).
• Content-Encoding — present when Accept-Encoding: gzip, br is sent (text-parser + scrape outputs compress well).

Patterns

• Document QA — Upload PDF via /augment/text-parser, pass text into a /chat/completions system message, ask questions.
• Research agent — /augment/search → parallel /augment/scrape → /chat/completions with all markdown bodies.
• Data extraction — XLSX via text-parser surfaces tab-delimited cell data you can then pipe to a model with response_format: { type: "json_schema", ... }.
• Citation pipeline — Use /augment/search to pick sources, then give the chat model venice_parameters.enable_web_citations: true for inline [n] marks.