mlpeek (Tanod) text embeddings
mlpeek (Tanod) text embeddings: 384-dim vectors (bge-small-en or multilingual-e5-small). USD 0.0005 per text, at least USD 0.001 per call (1-64 texts per call: USD 0.001-0.032). This call: 1 text.
Answeringour last check, 2026-10-10
1 of 1checks answered this week
220 msmedian answer time
$0.001listed price per call
$0.001price 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
| Category | Everything else |
|---|---|
| Provider host | tanod.dev |
| Networks | eip155:137, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-10 | valid payment request | 402 | $0.001 | 220 ms |
Example input (from the provider)
{
"body": {
"texts": [
"What is x402?"
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"encoding": {
"default": "float",
"description": "base64 = little-endian float32 bytes.",
"enum": [
"float",
"base64"
],
"type": "string"
},
"input_type": {
"default": "none",
"description": "Retrieval prefix: query / passage (e5: 'query: ' / 'passage: '; bge: its query instruction / nothing). none = symmetric use.",
"enum": [
"none",
"query",
"passage"
],
"type": "string"
},
"model": {
"default": "small-en",
"description": "small-en = BAAI/bge-small-en-v1.5 (English); multilingual = intfloat/multilingual-e5-small (~100 languages). 384 dimensions both.",
"enum": [
"small-en",
"multilingual"
],
"type": "string"
},
"normalize": {
"default": true,
"description": "L2-normalise (cosine similarity = dot product).",
"type": "boolean"
},
"texts": {
"description": "1-64 texts, each at most 8,000 characters; each is truncated at 512 tokens (reported per text). Priced per text, minimum USD 0.001 per call.",
"items": {
"maxLength": 8000,
"minLength": 1,
"type": "string"
},
"maxItems": 64,
"minItems": 1,
"type": "array"
}
},
"required": [
"texts"
],
"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"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"items": {
"properties": {
"embedding": {
"type": [
"array",
"string"
]
},
"index": {
"type": "integer"
},
"tokens": {
"type": "integer"
},
"truncated": {
"type": "boolean"
}
},
"required": [
"index",
"embedding"
],
"type": "object"
},
"type": "array"
},
"dimensions": {
"type": "integer"
},
"encoding": {
"type": "string"
},
"input_type": {
"type": "string"
},
"max_tokens_per_text": {
"type": "integer"
},
"model": {
"properties": {
"alias": {
"type": "string"
},
"id": {
"type": "string"
},
"license": {
"type": "string"
},
"revision": {
"type": "string"
},
"source": {
"type": "string"
}
},
"required": [
"id",
"source",
"license"
],
"type": "object"
},
"normalized": {
"type": "boolean"
},
"note": {
"type": "string"
},
"prefix_applied": {
"type": [
"string",
"null"
]
},
"usage": {
"type": "object"
}
},
"required": [
"model",
"dimensions",
"data",
"usage"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}