mlpeek (Tanod) multimodal embeddings
mlpeek (Tanod) multimodal embeddings: texts and images in one 768-dim vector space (EmbeddingGemma 2, CPU), per item. USD 0.002 per item (1-16 items per call: USD 0.002-0.032). This call: 1 item. Use when an agent needs images and texts embedded in one vector space, for text-to-image search or duplicate photos.
Answeringour last check, 2026-11-04
3 of 3checks answered this week
363 msmedian answer time
$0.002listed price per call
$0.002price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://tanod.dev/v1/embed/multimodal
| Category | Image and media |
|---|---|
| Provider host | tanod.dev |
| Networks | eip155:137, eip155:42161, eip155:56, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-11-04 | valid payment request | 402 | $0.002 | 363 ms |
| 2026-11-03 | valid payment request | 402 | $0.002 | 458 ms |
| 2026-11-02 | valid payment request | 402 | $0.002 | 290 ms |
Example input (from the provider)
{
"body": {
"items": [
{
"image_url": "https://tanod.dev/icon.png"
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"dimensions": {
"default": 768,
"description": "768 (default), 512, 256 or 128: the leading values, re-norm\u2026",
"enum": [
768,
512,
256,
128
],
"type": "integer"
},
"encoding": {
"default": "float",
"description": "base64 = little-endian float32 bytes.",
"enum": [
"float",
"base64"
],
"type": "string"
},
"image_detail": {
"default": "standard",
"description": "Vision tokens per image: low (70), standard (140) or high (\u2026",
"enum": [
"low",
"standard",
"high"
],
"type": "string"
},
"input_type": {
"default": "none",
"description": "Task prefix for text items (images get none): query (search\u2026",
"enum": [
"none",
"query",
"document",
"question",
"fact_check",
"code_query",
"classification",
"clustering",
"similarity"
],
"type": "string"
},
"items": {
"description": "1-16 items, each {text}, {image_url} or {image_base64}; eve\u2026",
"items": {
"additionalProperties": false,
"properties": {
"image_base64": {
"default": null,
"description": "An image as standard or url-safe base64 (at most 10 MB deco\u2026",
"maxLength": 13333464,
"minLength": 1,
"type": [
"string",
"null"
]
},
"image_url": {
"default": null,
"description": "Public http(s) URL of an image (PNG, JPEG, WebP, GIF, TIFF,\u2026",
"maxLength": 2048,
"minLength": 1,
"type": [
"string",
"null"
]
},
"text": {
"default": null,
"description": "A text, at most 8,000 characters (cut at 2,048 tokens, repo\u2026",
"maxLength": 8000,
"minLength": 1,
"type": [
"string",
"null"
]
}
},
"type": "object"
},
"maxItems": 16,
"minItems": 1,
"type": "array"
}
},
"required": [
"items"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}