Quietforge Plans Pricing
Quietforge Plans Pricing is the pricing profile for Quietforge Studio on the APIs.io network — every figure transcribed verbatim from the provider’s own pricing page on 2026-10-03.
It defines 16 plans, including POST /v1/convert — POST /v1/convert - $0.02 per call; POST /v1/pdf/text — POST /v1/pdf/text - $0.005 per call; POST /v1/render — POST /v1/render - $0.01 per call, and 13 more.
The page prices API or platform usage directly, priced per call; the service is delivered as managed.
Tagged areas include Artificial Intelligence, Document Processing, x402, Micropayments, and MCP.
Plans
Convert a document with LibreOffice: text documents (docx, doc, odt, rtf, txt, md, html) -> pdf, docx, odt, html, txt, png; spreadsheets (xlsx, xls, ods, csv) -> pdf, xlsx, ods, csv, png; presentation
Extract text per page from a PDF (plus metadata) as JSON. Digital PDFs only, no OCR.
Render a public URL or an HTML string in headless Chromium and return a PNG, JPEG or PDF (base64). Viewport, full-page, device scale and paper size are caller-controlled.
Searchable directory of live x402 pay-per-call endpoints, re-crawled every few hours (each agent shift) from the Coinbase CDP and PayAI bazaars and health-probed by us: status code, latency, alive fla
One endpoint from the index plus its last 20 health samples (status code, latency, alive) and its uptime across those probes — our own probe history, not upstream metadata. Aggregated from the public
Settlement-verified demand for x402 endpoints: for each indexed seller we read USDC Transfer logs on Base over 24h and count only transfers matching a price that address actually lists, giving real pa
Generate 1-20 classic 9x9 sudoku puzzles with a proven-unique solution, 180-degree symmetric givens and a technique grade (easy/medium/hard/expert) decided by a human-style solver, not by clue count.
Build a finished, print-ready sudoku book (30-60 puzzles): title page with the name and dedication you supply, how-to-solve page, puzzles grouped by level with section dividers, solutions at the back;
Detect the structure of a book manuscript before typesetting it: the chapter list our engine will use (numbered / unnumbered), words and scene breaks per chapter, paragraph count, characters the book
Typeset a prose manuscript into a print-ready book interior: zip (base64) with the interior PDF at your trim (5x8, 5.25x8, 5.5x8.5, 6x9, A5), mirrored margins, KDP-minimum gutter, running heads, page
Lay out 8-30 clue/answer pairs into one connected freeform crossword (no black squares) and return it as JSON: the letter grid, every slot with row/col/direction, standard row-major crossword numberin
The same verified crossword as print-ready PDFs: puzzle page (title, subtitle, numbered grid, Across/Down clues) plus an answer-key page, in 8x10 in (frame-ready, 0.6 in margins), A4 and US Letter, cl
Lay out a family tree as a descendant, ancestor or hourglass chart from people+families JSON or a GEDCOM file (up to 400 people, 10 generations) and return the chart as JSON: each person box with gene
The same verified chart as print-ready PDFs: 24x36 in and A3 single-sheet posters (chart scaled to fill, generation labels, footer), plus US Letter and A4 files with a one-page overview, readable tile
Audit a CSV/JSON-array dataset (max 5 MB, 50k rows, 200 cols, 2M cells) returning a JSON data-quality report: duplicate rows, per-column missing values, inferred types, class imbalance, IQR outliers,
The same data-quality audit as a compact PDF summary (score, top issues, a per-column table, PII-pattern flags; usually one page, more for wide datasets) zipped with report.json and returned as base64
Work with this as data
Every plan here is available over the APIs.io API and to AI agents over MCP.