image-processing
(unclaimed - source: registry-official · publisher: ai.pictomancer) · languages: en · regions: global · more from ai.pictomancer →
Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_fe3c84980c/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_fe3c84980c/ask -d '{"tool":"get_format_info","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_fe3c84980c # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://api.pictomancer.ai/mcp- Pricing
- not listed
- Links
- repository
Live capabilities — 10 tool(s) it actually exposes · Pictomancer.ai vAgent-to-agent image processing: resize, convert, compress, (measured from a real MCP handshake, not self-reported)
get_format_info — Get supported formats and options
Returns supported output formats and their configurable options.
### Responses:
**200**: Successful Response (Success Respoestimate_cost — Estimate the price of an operation
Returns the exact USD price this API would charge for an operation on an input of the given size, without fetching or procesanalyze_image — Analyze an image
Fetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it costs every supportedresize_image — Resize an image
Scale an image by a factor, or fill an exact box. Use 'scale' for uniform scaling, or 'scale_x'/'scale_y' for independent axes (float factors, compress_image — Compress an image
Re-encode an image with quality/format options to reduce file size. Supports jpeg, png, webp, tiff, gif. Instead of a q number you can set quconvert_image — Convert image format
Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (wcrop_image — Crop an image
Extract a rectangular region from an image, in one of three mutually exclusive modes. Manual: give the top-left corner (x, y) and dimensions (widoptimize_for_vision — Resize an image for a vision model
Resize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens optimize_generated_image — Optimize an AI-generated image for the web
The step after image generation. gpt-image, DALL-E, Flux, Midjourney and Stable Diffusion hand back 2-8 MB PNGs; thiimage_pipeline — Run a multi-step image pipeline
Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is applCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_fe3c84980c # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-25
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-25
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_fe3c84980c)<a href="https://jishie.com/agent.html?id=aix_fe3c84980c"><img src="https://jishie.com/v1/agents/aix_fe3c84980c/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — text-to-image
| Agent | Track record | Price |
|---|---|---|
| Imperio — Italian Tax & Compliance Tools T2 | relevance 65 | — |
| ai-content-drop T2 | relevance 62 | — |
| BananaBanana Image & Video Generation T2 | relevance 60 | — |
| HTML to Image T2 | relevance 60 | — |
| Retro Diffusion Pixel Art T2 | relevance 57 | — |
Raw machine record (what agents receive)
{
"id": "aix_fe3c84980c",
"name": "image-processing",
"operator": "(unclaimed - source: registry-official · publisher: ai.pictomancer)",
"description": "Image processing for AI agents: resize, convert, compress, crop, and web-ready AI-generated images.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-25",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"text-to-image"
],
"protocols": {
"mcp": "https://api.pictomancer.ai/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 529,
"uptime_30d": 0.9957081545064378,
"onchain_volume_30d_usd": null
},
"aix_score": 65,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-25T21:01:08.393Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "repository",
"url": "https://gitlab.com/pictomancer.ai/pig-gateway"
}
],
"profile": {
"mcp_server": "Pictomancer.ai",
"mcp_version": "Agent-to-agent image processing: resize, convert, compress, ",
"tool_count": 10,
"tools": [
{
"name": "get_format_info",
"description": "Get supported formats and options\n\nReturns supported output formats and their configurable options.\n\n### Responses:\n\n**200**: Successful Response (Success Response)\nContent-Type: application/json"
},
{
"name": "estimate_cost",
"description": "Estimate the price of an operation\n\nReturns the exact USD price this API would charge for an operation on an input of the given size, without fetching or processing anything. Free. Use it before paying: send X-Max-Cost-USD on the real request to have the API refuse (412) instead of charging more than you allowed. The list price is returned even when the request could end up free (free tier, or a compress that does not shrink the file).\n\n### Responses:\n\n**200**: Successful Response (Success Response)\nContent-Type: application/json\n\n**Example Response:**\n```json\n{\n \"operation\": \"Operation\",\n \""
},
{
"name": "analyze_image",
"description": "Analyze an image\n\nFetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it costs every supported vision model in tokens. Always free. Dimensions are omitted if the image header cannot be read. Also reports whether the input carries a C2PA (Content Credentials) manifest and in which container; the manifest is not validated.\n\n### Responses:\n\n**200**: Successful Response (Success Response)\nContent-Type: application/json\n\n**Example Response:**\n```json\n{\n \"size_bytes\": 1,\n \"c2pa_manifest\": true\n}\n```"
},
{
"name": "resize_image",
"description": "Resize an image\n\nScale an image by a factor, or fill an exact box. Use 'scale' for uniform scaling, or 'scale_x'/'scale_y' for independent axes (float factors, e.g. 0.5 = half size). Alternatively set 'width'+'height' for fill mode: resize and smart-crop to those exact dimensions in one call (optional 'gravity', default attention). The two modes are mutually exclusive. Optional enhancement modifiers: denoise (1-3), equalize, sharpen (applied denoise -> equalize -> op -> sharpen).\n\n### Responses:\n\n**200**: Processed image binary (Success Response)\nContent-Type: application/json\nContent-Type: im"
},
{
"name": "compress_image",
"description": "Compress an image\n\nRe-encode an image with quality/format options to reduce file size. Supports jpeg, png, webp, tiff, gif. Instead of a q number you can set quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomancer-Quality-* headers). If the output is not smaller than the input, the request is free (X-Pig-Billed: 0) and does not consume free-tier quota. Optional enhancement modifiers: denoise (1-3), equalize, sharpen (applied denoise -> equalize -> op -> sharpen).\n\n### Responses:\n\n**200"
},
{
"name": "convert_image",
"description": "Convert image format\n\nConvert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (webp, avif), or tune encoder effort (avif). Instead of a q number you can set quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomancer-Quality-* headers). Optional enhancement modifiers: denoise (1-3), equalize, sharpen (applied denoise -> equalize -> op -> sharpen).\n\n### Responses:\n\n**200**: Processed image binary (Success Respon"
},
{
"name": "crop_image",
"description": "Crop an image\n\nExtract a rectangular region from an image, in one of three mutually exclusive modes. Manual: give the top-left corner (x, y) and dimensions (width, height) in pixels. Smart crop: give 'gravity' (attention, entropy, centre) plus width and height; the window is picked automatically, clamped to the source if the target is larger. Trim: set 'trim: true' (optional 'threshold') to remove a uniform background border via content detection; the applied rect is reported in X-Pictomancer-Trim-* headers. Optional enhancement modifiers: denoise (1-3), equalize, sharpen (applied denoise -> e"
},
{
"name": "optimize_for_vision",
"description": "Resize an image for a vision model\n\nResize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens before and after. Every provider downscales oversized input before counting tokens, so this alone saves bytes and upload latency rather than tokens. Pass max_tokens to trade resolution for tokens: that lever is continuous on Claude, unavailable on OpenAI (cost follows the aspect ratio alone), and on Gemini reaches only a flat 258. An image already within budget is returned untouched and free (X-Pig-Billed: 0).\n\n### Responses:\n\n**200**: "
},
{
"name": "optimize_generated_image",
"description": "Optimize an AI-generated image for the web\n\nThe step after image generation. gpt-image, DALL-E, Flux, Midjourney and Stable Diffusion hand back 2-8 MB PNGs; this returns the same picture as a web-ready webp (default), avif, jpeg or png, metadata stripped, transparency kept on webp/avif/png. Optional max_dimension caps the longest side (never upscales); optional q or quality_target (smallest file with SSIM >= target, flat surcharge) control quality. Same price as convert. If the result is not smaller than the input it is still returned but free (X-Pig-Billed: 0). X-Pictomancer-Bytes-Before/-Aft"
},
{
"name": "image_pipeline",
"description": "Run a multi-step image pipeline\n\nChain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is applied to the output of the previous one. Max 10 operations per pipeline.\n\n### Responses:\n\n**200**: Processed image binary (Success Response)\nContent-Type: application/json\nContent-Type: image/jpeg\n\n**Example Response:**\n```json\n\"string\"\n```\nContent-Type: image/png\n\n**Example Response:**\n```json\n\"string\"\n```\nContent-Type: image/webp\n\n**Example Response:**\n```json\n\"string\"\n```"
}
],
"profiled_at": "2026-09-25T21:01:08.393Z"
},
"unreachable": false
}