agentsclimarketplace

Venice augment

Skill 0xatd/cheaptokens-skills/skills/venice-augment

Agent skill pack for using CheapTokens: discounted Venice AI credits, OpenAI-compatible API calls, and x402 purchase flows.

Install
npx -y skills add 0xatd/cheaptokens-skills --skill venice-augment

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

5.9 KB, as published. Nobody here has run it

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.

EndpointInputOutputPrivacy
POST /augment/text-parsermultipart/form-data file (PDF / DOCX / XLSX / plain text, ≤ 25 MB){ text, tokens } JSON or plain textIn-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 ($0.001–$10.00).

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

Request

Always multipart/form-data:

FieldNotes
fileRequired. PDF, DOCX, XLSX, or plain text. Max 25 MB.
response_formatjson (default) or text.
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

FieldNotes
query1–400 chars. Required.
limit1–20. Default 10.
search_provider"brave" (default, ZDR) or "google" (anonymized).
curl -X POST https://api.venice.ai/api/v1/augment/search \
  -H "Authorization: Bearer $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

ProviderRetentionBias / filter
brave (default)Zero Data Retention — Brave never stores queries.Safesearch defaults, Brave Index.
googleAnonymized — 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

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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.