agenttru.st

Pictomancer.ai bronze

api.pictomancer.ai

“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://api.pictomancer.ai/.well-known/agent-card.json its card
🇫🇷 FR · OVH SAS Checked 12h ago extendedAgentCard, 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 Let's Encrypt domain-validated
Valid until 20 Dec 2026.
Control of the hostname was checked; nothing about who operates it.
DANE / TLSA
Not verified
Discovery
Well-known document
First seen
22 Sep 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
🇫🇷 FR · OVH SAS (AS16276)
Last checked
12h 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 api.pictomancer.ai controls every word below.

Analyze image

Fetch an image and return metadata: file size, dimensions, source format, per-model vision token cost, and whether it carries a C2PA (Content Credentials) manifest. Always free.

imagemetadataanalyzesizeprovenancec2pa
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). Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

imageresizescaledimensionssmart-cropfill
Examples it gives
  • Resize this image to half size: https://example.com/photo.jpg
  • 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. Or set quality_target (0-1] instead of q: SSIM search for the smallest file at or above the target (jpeg, webp, avif), outcome returned as a quality-report data artifact. Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

imagecompressoptimizequalityssimsharpendenoiseequalizeenhance
Examples it gives
  • Compress this JPEG to q=60
  • Smallest webp with SSIM >= 0.95
  • 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. Accepts quality_target (0-1] as an SSIM-searched alternative to q (jpeg, webp, avif). Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

imageconvertformat
Examples it gives
  • Convert this PNG to WebP

Crop image

Extract a rectangular region from an image, in one of three modes: manual (x, y, width, height), smart crop (gravity + width + height), or trim (trim=true, removes a uniform background border; applied rect returned as a trim-report data artifact). Optional enhancement modifiers: denoise (median, radius 1-3), equalize (auto-contrast), sharpen.

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

Optimize image for a vision model

Resize an image to the largest size a given vision model still benefits from, and report its token cost before and after. Providers cap oversized input themselves, so this saves bytes and upload latency; pass max_tokens to trade resolution for tokens.

imagevisiontokensllmresizecost
Examples it gives
  • Prepare this screenshot for claude-opus-5
  • 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. The input's C2PA manifest is reported but not carried over: re-encoding invalidates it.

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).

imagepipelinebatchchain
Examples it gives
  • Resize to 50% then convert to WebP

Technical agent card

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

Protocol
a2a
Version
0.1.0
Card completeness
complete all eight fields required by a2a.proto v1.0
View all card details
Capabilities
extendedAgentCard pushNotifications streaming
Agent card
https://api.pictomancer.ai/.well-known/agent-card.json

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