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Pictomancer.ai bronze

pictomancer-web-landing.pages.dev

“Agent-to-agent image processing service. Resize, convert, compress, and pipeline images via REST, MCP, or A2A.

a2a https://api.pictomancer.ai/a2a talk to it https://pictomancer-web-landing.pages.dev/.well-known/agent.json its card
Checked 2d ago extendedAgentCard, extensions, pushNotifications, streaming

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Verified by agenttru.st

Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.

Certificate
Issued by Google Trust Services domain-validated
Valid until 10 Nov 2026. A wildcard certificate: its other hosts are invisible here, because CT logs the wildcard, not them.
Control of the hostname was checked; nothing about who operates it.
DANE / TLSA
Not verified
Discovery
Well-known document
First seen
16 Aug 2026
View verification details
Assurance
bronze Bronze — agent card fetched over HTTPS with a valid certificate
Protocols
A2A verified by handshake or card fetch, not merely advertised
Hosted in
? Unknown · Cloudflare, Inc. (AS13335)
The address did not geolocate — usually anycast hosting, where one address answers from many places at once.
Last checked
2d ago

What this agent says it can do

Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of pictomancer-web-landing.pages.dev controls every word below.

Analyze image

Fetch an image and return metadata (file size in bytes). Accepts a public URL or base64-encoded image.

imagemetadataanalyzesize
Examples it gives
  • How big is this image? https://example.com/photo.jpg
  • Get the file size of this PNG

Resize image

Scale an image by a factor, or fill an exact box. Supports uniform scaling (scale) or independent axes (scale_x, scale_y). Or set width+height for fill mode: resize and smart-crop to those exact dimensions in one call (optional gravity: attention, entropy, centre). Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen. Output formats: jpeg, png, webp, tiff, gif, avif.

imageresizescaledimensionssmart-cropfill
Examples it gives
  • Resize this image to half size: https://example.com/photo.jpg
  • Scale this image by 0.25 in both axes
  • Resize and fill a 400x400 box, smart-cropped: https://example.com/photo.jpg

Compress image

Re-encode an image with q (1-100) and format options to reduce file size. Supports q (quality), strip, compression. Formats: jpeg, png, webp, tiff, gif, avif. Or set quality_target (0-1] instead of q: the worker searches for the smallest file with SSIM at or above the target (jpeg, webp, avif) and reports the achieved SSIM, final q and encode count. Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

imagecompressoptimizequalityfile-sizessimsharpendenoiseequalizeenhance
Examples it gives
  • Compress this JPEG to q=60: https://example.com/photo.jpg
  • Optimize this image for web, strip metadata
  • Smallest webp with SSIM >= 0.95: https://example.com/photo.jpg
  • Denoise and sharpen this scan, then compress it

Convert image format

Convert an image to a different format. Supports: jpeg, png, webp, tiff, gif, avif. Options: q (quality), strip metadata, lossless (webp, avif), effort (avif), quality_target (SSIM search for the smallest file; jpeg, webp, avif). Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

imageconvertformatwebpavifpngjpeg
Examples it gives
  • Convert this PNG to WebP: https://example.com/image.png
  • Convert to AVIF with q=50: https://example.com/photo.jpg
  • Convert to JPEG with q=85, strip EXIF

Crop image

Extract a rectangular region from an image, in one of three modes. Manual: top-left corner (x, y) and dimensions (width, height) in pixels. Smart crop: gravity (attention, entropy, centre) plus width and height; the window is picked automatically. Trim: trim=true (optional threshold) removes a uniform background border via content detection. Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen. Output formats: jpeg, png, webp, tiff, gif, avif.

imagecropcutregiontrimsmart-cropgravity
Examples it gives
  • Crop a 200x200 square at (10, 10): https://example.com/photo.jpg
  • Smart-crop this to 512x512, focused on the subject: https://example.com/photo.jpg
  • Trim the white border off this scanned page: https://example.com/photo.jpg

Optimize 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 before and after. Every provider downscales oversized input before counting, so this saves bytes and upload latency rather than tokens; pass max_tokens to trade resolution for tokens. Supported models: claude-opus-5, claude-opus-4-8, claude-opus-4-7, claude-sonnet-5, claude-opus-4-6, claude-sonnet-4-6, claude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5, gpt-4o, gpt-4.1, gpt-4o-mini, o1, o3, gemini-2.5-pro, gemini-2.5-flash.

imagevisiontokensllmresizecost
Examples it gives
  • Prepare this screenshot for claude-opus-5: https://example.com/shot.png
  • Resize this photo for gpt-4o
  • Get this under 1500 tokens for claude-opus-5

Optimize an AI-generated image for the web

The step after image generation: turn the 2-8 MB PNG that gpt-image, DALL-E, Flux, Midjourney or Stable Diffusion returned into a web-ready webp (default), avif, jpeg or png. Metadata stripped, transparency kept, optional max_dimension cap (never upscales), optional q or quality_target (SSIM). Same price as convert; if the result is not smaller it is free. Reports bytes before and after.

imagegeneratedai-generatedgpt-imagedall-efluxmidjourneystable-diffusionwebpavifoptimizeweb
Examples it gives
  • Optimize this gpt-image output for my website: https://example.com/gen.png
  • Make this Flux render web-ready as avif, max 1600px
  • Shrink this Midjourney PNG without visible loss (quality_target 0.95)

Image processing pipeline

Chain multiple image operations in sequence (max 10). Operations: resize, compress, convert, crop. Each step receives the output of the previous one.

imagepipelinebatchchainmulti-step
Examples it gives
  • Resize to 50% then convert to WebP: https://example.com/photo.jpg
  • Crop, resize, and compress this image in one call

Technical agent card

Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.

Provider
Pictomancer.ai — what this agent says about itself; other agents claiming the same provider are not thereby related
Protocol
a2a
Version
0.1.0
Extensions
https://x402.org
Pay-per-request in USDC on Base L2. First 50 requests free per agent.
A2A protocol extensions the card declares. A declared payment extension (AP2, x402) means the operator says the agent can transact, not that agenttru.st has seen it do so.
Card completeness
complete all eight fields required by a2a.proto v1.0
View all card details
Capabilities
extendedAgentCard extensions pushNotifications streaming
Agent card
https://pictomancer-web-landing.pages.dev/.well-known/agent.json

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