HALOWERK medienwerk

active

HALOWERK medienwerk — bezahlte Endpunkte nach x402. Preise in USDC auf Base Mainnet.

MediaBasex402 v2exactmedien.halowerk.com ↗︎

Not seen in any discovery source since 2026-10-01.

Transactions · 30d
0
Volume · 30d
$0.00
Unique buyers · 30d
0
Uptime · 30d
100.0%
Latency p50
301ms
Reported calls · 30d
13

Endpoints (17 live)

  • POST /v1/doc-diff — Takes two documents, by URL, inline base64 or raw text, extracts the text of each and compares them. Paragraphs are the unit: the answer lists every block that was removed, added, or kept but reworded, and for reworded blocks it names the individual words that went and came, so a single changed number in a long clause is visible instead of the whole clause being flagged. Alongside the content diff a structural comparison reports headings, paragraph, list and table-line counts on both sides. (0.002 USDC on Base)
  • POST /v1/stt — Takes an audio or video file by URL or inline base64 and returns the transcript: the full text, every word with start and end time and its own confidence, the utterances and paragraphs the recogniser separated, and the detected language with its confidence where no language was specified. (0.06 USDC on Base)
  • POST /v1/diarize — Takes an audio or video file by URL or inline base64 and reports who spoke when. Every turn comes back with its speaker label, start and end time, duration, word count and text, and consecutive words from the same speaker are merged into one turn rather than left as a word list. (0.025 USDC on Base)
  • POST /v1/keyframes — Takes a video by URL or inline base64 and reports where the picture changes. FFmpeg measures the difference between consecutive frames; every jump above the threshold starts a new scene, and the answer lists each scene with start, end, duration and the fraction of the running time it covers, plus the raw detection score positions. (0.03 USDC on Base)
  • POST /v1/msds-extract — Downloads one public PDF up to 5 MiB through SSRF-safe redirect checks or accepts extracted text, runs pdftotext in a private temporary directory, and deterministically extracts the requested codes with their source lines. Temporary PDF and text files are deleted before the response. It does not OCR scans, identify symbols from images, translate legal wording or certify regulatory completeness. (0.01 USDC on Base)
  • POST /v1/oss-opencv-paired-point-triangulate — Triangulates 3D positions from corresponding points in two calibrated views using the supplied projection matrices. Degenerate cases are reported honestly: a correspondence whose rays are near-parallel has no finite intersection, and it comes back as null with its position in the finite mask, instead of as an enormous coordinate that silently poisons whatever consumes it. That makes the result safe to feed into a fitting step without a sanity filter of your own. (0.002 USDC on Base)
  • POST /v1/oss-opencv-robot-hand-eye-calibrate — Solves the hand-eye problem: given a series of gripper-to-base poses read from the robot and the matching target-to-camera poses seen by the camera, it recovers the rigid transform between camera and gripper that stays constant as the arm moves. This is what lets a robot act on what its camera sees. The poses must be genuinely synchronized — a pairing that is off by one sample produces a confident and entirely wrong transform, and nothing in the data reveals it. (0.003 USDC on Base)
  • POST /v1/oss-opencv-landmark-camera-pose — Solves for the rigid transform between an object's coordinate frame and the camera, given 3D landmark coordinates, where those landmarks appear in the image, and the camera matrix and distortion. Returns the rotation and translation together with the reprojection RMSE, so a caller can tell a well-constrained pose from one that merely converged. This is the standard step for placing a known object in a scene or locating a camera against a known marker. (0.002 USDC on Base)
  • POST /v1/oss-opencv-robust-planar-homography — Fits a 2D projective transform between two point sets with RANSAC at a caller-chosen reprojection threshold, and returns both the homography and the inlier mask. The mask is what makes this useful beyond a plain fit: bad correspondences are named rather than quietly averaged in, so a caller can re-run detection, drop a frame or raise an alarm. Suitable for document rectification, planar tracking and image stitching where the scene really is flat. (0.002 USDC on Base)
  • POST /v1/image-palette — Takes an image by URL or inline base64 and returns its colour palette: up to sixteen colours, each with the share of the visible area it covers, its HEX and sRGB values, its OKLCH coordinates, and the WCAG 2.1 contrast ratio against white, against black and against every other colour in the palette. The grouping runs in OKLab rather than RGB, because distance in RGB does not match what an eye sees — it merges dark blue with black and splits two yellows nobody tells apart. (0.002 USDC on Base)
  • POST /v1/image-dupe — Takes between two and eight images by URL or inline base64 and compares each pair. Three perceptual hashes are computed, because each fails differently: an average hash over an 8x8 grey image is cheap but moves with brightness, a gradient hash reads the slope between neighbouring pixels and survives exposure changes, and a DCT hash over the low frequencies of a 32x32 grey image is the sturdiest against rescaling and re-encoding. (0.005 USDC on Base)
  • POST /v1/pdf-fill — Called without "fields" it inspects: every AcroForm field of the PDF comes back with its name, type, current value, whether it is required or read-only, the permitted options for dropdowns, radio groups and list boxes, and the character limit of text fields. Called with "fields" it fills exactly those and returns the resulting PDF as base64, together with what each field held before and after. (0.005 USDC on Base)
  • POST /v1/doc-convert — Takes one file, by URL or inline base64, and returns it in the format you ask for. Text documents go through pandoc, so DOCX, ODT, EPUB, HTML, Markdown, RST, Org, LaTeX, RTF, MediaWiki, Textile, CSV and Jupyter notebooks convert in both directions. A PDF is a one-way street: its text is extracted with poppler (to markdown, html or plain text) or its pages are rendered to PNG or JPEG at a chosen dpi, but no format converts into PDF here — this machine has no PDF typesetting engine (no LaTeX, no… (0.005 USDC on Base)
  • POST /v1/c2pa-verify — Takes one media file by URL or inline base64 and reads its C2PA manifest store. The answer says whether a manifest is present at all, whether the cryptographic checks pass — every failing check is returned with its code and explanation, so a hash mismatch on the image data is distinguishable from a broken claim signature — who the signing certificate names as issuer, its serial number, the signing algorithm and the signing time, the chain of ingredients a derived file inherited from, and every… (0.002 USDC on Base)
  • POST /v1/bg-remove — Takes an image by URL or inline base64 and returns it with the background removed, as PNG or WebP with a real alpha channel, together with the share of the frame that survived, the bounding box of the remaining subject and the option to crop to it. The whole computation runs locally with rembg and the U2-Net model: the image is not sent anywhere, no provider sees it, nothing is retained, and there is consequently no purchase price and no third-party terms to accept — for a product photo not yet… (0.01 USDC on Base)
  • POST /v1/tts — Takes a text and returns it spoken, as MP3, WAV, Opus, FLAC or raw linear16, encoded base64 with its media type and the resulting running time. The voice is chosen freely from the provider catalogue — over a hundred voices across languages and accents — and is validated against that catalogue before the request goes out, so a mistyped voice name comes back immediately with a list of near matches instead of a provider error. (0.08 USDC on Base)
  • POST /v1/doc-translate — Takes a document as text, a public URL or inline base64 — PDF, DOCX, ODT, HTML and Markdown are read — and returns it translated into the target language. Structure is the point: heading levels, indentation, blank lines, list markers, the number of table columns, placeholders such as double-brace tokens or printf specifiers, URLs, e-mail addresses, file names and fenced code blocks are meant to come through untouched. Rather than assert that, the endpoint measures it. (0.006 USDC on Base)

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