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Card snapshot
bild.halowerk.com
·
2026-11-14 11:25:14 UTC
·
48b0c4bee3cdf6a4b7e189630849648285c9ae1aa3ad477d143bce152f4e3e5c
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"_source": "agentic.market",
"service": {
"id": "bild-halowerk-com",
"name": "bild.halowerk.com",
"description": "",
"domain": "bild.halowerk.com",
"provider": "bild.halowerk.com",
"providerUrl": "",
"category": "",
"networks": [
"Base"
],
"enriched": false,
"endpoints": [
{
"url": "https://bild.halowerk.com/v1/blur-detect",
"description": "Converts the image to BT.601 luma at a fixed analysis size (long side analysis_max_side, default 1024; smaller images are not upscaled) and computes the variance of the 4-neighbour Laplacian (Pech-Pacheco et al. 2000) and the Tenengrad energy (mean squared Sobel magnitude). Because noise also raises the Laplacian variance, the Immerk\u00e6r (1996) noise sigma is estimated and 20\u00b7sigma\u00b2 (the Laplacian response to white noise) is subtracted.",
"pricing": {
"amount": "0.004",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "grid",
"type": "number",
"description": "",
"example": 3,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
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"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/burst-best-pick",
"description": "All frames are scaled to the same long side (the smallest long side, at most 768 px) so that measures are comparable. Sharpness is the mean noise-corrected Laplacian variance (variance \u2212 20\u00b7\u03c3\u00b2, \u03c3 by Immerk\u00e6r 1996) of the 4 sharpest of 4\u00d74 tiles, so the subject counts more than a blurred background; it is scored relative to the sharpest frame.",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "images",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/camera-fingerprint",
"description": "Photo-response non-uniformity camera identification (Luk\u00e1\u0161, Fridrich and Goljan 2006; maximum-likelihood fingerprint and peak-to-correlation energy after Goljan, Fridrich and Filler 2009). No datab...",
"pricing": {
"amount": "0.015",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "crop_size",
"type": "number",
"description": "",
"example": 64,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "query_image",
"type": "object",
"description": "",
"example": null,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "reference_images",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/clone-detect",
"description": "Copy-move detection by shift search and block verification (exact-shift idea after Fridrich, Soukal and Luk\u00e1\u0161 2003): the image is converted to grey and scaled to at most max_side. The autocorrelation of the fine residual (image minus 3\u00d73 mean, strong edges removed) is computed by FFT; sharp peaks at shifts of at least 0.75 \u00d7 min_region_px are candidate copy vectors (ridges from straight edges are suppressed).",
"pricing": {
"amount": "0.01",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "block_size",
"type": "number",
"description": "",
"example": 16,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
"example": "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",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/color-cast",
"description": "Converts opaque pixels of a copy with at most 512 px on the long side to CIELAB (D65, IEC 61966-2-1). Near-neutral reference: mean shift in the a*b* plane starting at (0, 0) with neutral_radius (default 12; the first step uses radius 25 only when fewer than 1 % of the pixels lie within it), centre kept within C* 25, over pixels with L* 20\u201395; at least 1 % of the pixels must belong to it.",
"pricing": {
"amount": "0.004",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
"example": "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",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/document-tamper-hints",
"description": "Tesseract 5.3.4 (eng+deu, automatic page segmentation) finds words and text lines. Per line a robust baseline (Theil\u2013Sen over words without descenders) is fitted; words more than 15 % of the median word height (at least 1.5 px) off the line are reported. Heights of words with ascenders/capitals and of x-height-only words are compared within the line (outside 0.87\u20131.15 \u00d7 the line median).",
"pricing": {
"amount": "0.012",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "clone_check",
"type": "boolean",
"description": "",
"example": false,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
"example": "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",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/edit-trace",
"description": "Reads the file structure without trusting any single field: EXIF (IFD0, Exif IFD, IFD1 thumbnail), XMP (CreatorTool, xmpMM history and document IDs, Camera Raw settings, IPTC digital source type), IPTC IIM and Photoshop image resources, PNG text and time chunks, WebP chunks, JPEG markers (APP12 \"Ducky\" of Save for Web, comments, data after EOI) and C2PA/JUMBF manifests (presence and readable labels only, signatures are NOT verified).",
"pricing": {
"amount": "0.006",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
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"group": "body",
"name": "quality_max",
"type": "number",
"description": "",
"example": 95,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "quality_min",
"type": "number",
"description": "",
"example": 50,
"enumValues": [],
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},
{
"group": "body",
"name": "quality_step",
"type": "number",
"description": "",
"example": 5,
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/license-notice-find",
"description": "Reads EXIF 2.32 (Copyright with photographer/editor parts, Artist, XPAuthor), IPTC IIM 4.2 (CopyrightNotice, By-line, Credit, Source, SpecialInstructions), XMP (dc:rights, dc:creator, xmpRights:Marked/WebStatement/UsageTerms/Owner, photoshop:Credit/Source, cc:license, cc:attributionName/URL, PLUS licensor, copyright owner and status) and PNG text keys (Copyright, Author, Source, Disclaimer).",
"pricing": {
"amount": "0.006",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
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"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "read_image_text",
"type": "boolean",
"description": "",
"example": false,
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/noise-estimate",
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"pricing": {
"amount": "0.004",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
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"serviceName": "",
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"quality": {
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"l30DaysUniquePayers": "1"
}
},
{
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"amount": "0.006",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
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"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/print-readiness",
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"pricing": {
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"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
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"name": "bleed_mm",
"type": "number",
"description": "",
"example": 2,
"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "fit",
"type": "string",
"description": "",
"example": "fill",
"enumValues": [],
"default": null,
"required": false
},
{
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"enumValues": [],
"default": null,
"required": false
},
{
"group": "body",
"name": "paper",
"type": "string",
"description": "",
"example": "id1_card",
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "6",
"l30DaysUniquePayers": "5"
}
},
{
"url": "https://bild.halowerk.com/v1/screenshot-authenticity",
"description": "Screen captures are rendered pixels: large exactly flat areas, almost no sensor noise (noise level from the Immerk\u00e6r 1996 mask, estimated robustly via the median absolute response, below 0.6; camera photos show at least 1 and under 5 % flat pixels) and lossless storage (PNG by default on iOS, Android, macOS and Windows).",
"pricing": {
"amount": "0.008",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
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},
{
"group": "body",
"name": "text_check",
"type": "boolean",
"description": "",
"example": true,
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
},
{
"url": "https://bild.halowerk.com/v1/smart-crop",
"description": "Computes frequency-tuned saliency (Achanta et al., CVPR 2009): distance in CIELAB (D65) between each pixel of a 5\u00d75 binomially smoothed copy and the image mean colour, on a copy with at most 400 px on the long side. For each ratio the largest crop of that ratio (full height or full width) is slid along the free axis; the position keeping the most saliency wins, ties go to the position nearest the saliency centroid. Protected regions (subject boxes you know, e.g.",
"pricing": {
"amount": "0.006",
"currency": "USDC",
"network": "eip155:8453",
"scheme": "exact",
"maxAmount": "",
"minAmount": ""
},
"method": "POST",
"providerName": "",
"parameters": [
{
"group": "body",
"name": "image_base64",
"type": "string",
"description": "",
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"enumValues": [],
"default": null,
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},
{
"group": "body",
"name": "ratios",
"type": "array",
"description": "",
"example": [],
"enumValues": [],
"default": null,
"required": false
}
],
"serviceName": "",
"tags": [],
"quality": {
"l30DaysTotalCalls": "1",
"l30DaysUniquePayers": "1"
}
}
],
"integrationType": "",
"isNew": false,
"priceSummary": {
"minAmount": "0.003",
"maxAmount": "0.015",
"avgCostPerTransaction": "0.0065",
"avgCostBasis": "exact",
"currency": "USDC"
},
"serviceName": "",
"tags": [],
"iconUrl": "",
"_truncated": {
"endpoints": 22
},
"_digest": {
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}
}