Pictomancer.ai
Agent-to-agent image processing service. Resize, convert, compress, and pipeline images via REST, MCP, or A2A.
AgentCard object — a capabilities object, a declared protocolVersion, and a well-formed skills array.
An A2A client finds this agent by fetching the well-known path on the provider's own host. That is what makes an agent card different from every other agent artifact in this catalog: it is provider-published by construction — it cannot be derived, generated, or reconstructed on a provider's behalf.
https://api.pictomancer.ai
· transport HTTP+JSON
· protocol https://api.pictomancer.ai/mcp
· transport MCP
· protocol https://api.pictomancer.ai/a2a
· transport JSONRPC
non-standard supportedInterfaces
https://api.pictomancer.ai
· transport HTTP+JSON
non-standard supportedInterfaces
https://api.pictomancer.ai/mcp
· transport MCP
non-standard supportedInterfaces
Analyze image 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.
imagemetadataanalyzesizeprovenancec2paResize image 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-cropfillCompress image 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.
imagecompressoptimizequalityssimsharpendenoiseequalizeenhanceConvert image format convert_image
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.
imageconvertformatCrop image 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-cropgravityOptimize image for a vision model optimize_for_vision
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.
imagevisiontokensllmresizecostOptimize an AI-generated image for the web optimize_generated_image
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-diffusionwebpavifoptimizewebImage processing pipeline image_pipeline
Chain multiple image operations in sequence (max 10).
imagepipelinebatchchain2026-09-19 from https://api.pictomancer.ai/.well-known/agent-card.json,
HTTP 200. The body was saved verbatim and is the sole source for
everything on this page — no field is inferred.
View the captured card.
Providers change what they serve; if this card has moved or changed shape,
the provider profile carries the
current state as of the last build.
Work with this as data
Every agent card here is available over the APIs.io API and to AI agents over MCP. A2A Agent Cards is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.