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.

All three accept Bearer API key or SIWE (x402 wallet). All three are priced dynamically ($0.001–$10.00).

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

Request

Always multipart/form-data:

curl -X POST https://api.venice.ai/api/v1/augment/text-parser \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -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 $VENICE_API_KEY" \
  -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

curl -X POST https://api.venice.ai/api/v1/augment/search \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -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

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

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.