Tanod mlpeek
Classify English text into 1-10 caller-supplied labels using zero-shot inference. Use when an agent must sort an English text into labels it supplies, without training a model.
Offering
- Provider
- tanod.dev
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- General Utilities
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://tanod.dev/v1/classify/zero-shot- MIME type
- application/json
- First seen
- 2026-10-16T01:51:02.144Z
- Last seen
- Tags
- zero-shot, text-classification, labels, NLP, mlpeek, embeddings, rerank, ner, classify, zero, shot
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.001 USDC
Atomic price: 1000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 2
- 0.001 USDC
Atomic price: 1000 · Network: eip155:137 · Asset: USDC · Scheme: exact - Payment option 3
- 0.001 USDC
Atomic price: 1000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact - Payment option 4
- 0.001 USDC
Atomic price: 1000000000000000 · Network: eip155:56 · Asset: USDC · Scheme: exact - Payment option 5
- 0.001 USDC
Atomic price: 1000 · Network: eip155:42161 · Asset: USDC · Scheme: exact - Payment option 6
- 0.001 USDC
Atomic price: 1000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 7
- 0.001 USDC
Atomic price: 1000 · Network: eip155:137 · Asset: USDC · Scheme: exact
Raw x402 terms
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"amount": "1000",
"payTo": "0x593857A4a4F619543ea12394137C3004ce841720"
},
{
"scheme": "exact",
"network": "eip155:137",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"amount": "1000",
"payTo": "0x593857A4a4F619543ea12394137C3004ce841720"
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"amount": "1000",
"payTo": "RMk9k3VC8dr4hhjgFh88rGhjAbzfBzHxJJ5n2fTcqus"
},
{
"scheme": "exact",
"network": "eip155:56",
"asset": "0x8AC76a51cc950d9822D68b83fE1Ad97B32Cd580d",
"amount": "1000000000000000",
"payTo": "0x593857A4a4F619543ea12394137C3004ce841720"
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"amount": "1000",
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},
{
"scheme": "exact",
"network": "eip155:8453",
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"amount": "1000",
"payTo": "0x593857A4a4F619543ea12394137C3004ce841720"
},
{
"scheme": "exact",
"network": "eip155:137",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"amount": "1000",
"payTo": "0x593857A4a4F619543ea12394137C3004ce841720"
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]Observed health
- Status
- Healthy
- Latest latency
- 897 ms
- Average latency
- 1091 ms
- HTTP status
- 204
- Last checked
- Reachability
- 100% over 9 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"type": "string",
"enum": [
"POST"
]
},
"bodyType": {
"type": "string",
"enum": [
"json",
"form-data",
"text"
]
},
"body": {
"additionalProperties": false,
"properties": {
"text": {
"description": "English text, at most 2,000 characters.",
"maxLength": 2000,
"minLength": 1,
"type": "string"
},
"labels": {
"description": "1-10 unique candidate labels, each at most 100 characters.",
"items": {
"maxLength": 100,
"minLength": 1,
"type": "string"
},
"maxItems": 10,
"minItems": 1,
"type": "array"
},
"multi_label": {
"default": false,
"description": "Score each label on its own instead of making them compete.",
"type": "boolean"
},
"hypothesis_template": {
"default": "This example is about {}.",
"description": "Must contain {} exactly once.",
"maxLength": 200,
"minLength": 2,
"type": "string"
}
},
"required": [
"text",
"labels"
],
"type": "object"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"additionalProperties": false
}Output schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"hypothesis_template": {
"default": "This example is about {}.",
"description": "Must contain {} exactly once.",
"maxLength": 200,
"minLength": 2,
"type": "string"
},
"labels": {
"description": "1-10 unique candidate labels, each at most 100 characters.",
"items": {
"maxLength": 100,
"minLength": 1,
"type": "string"
},
"maxItems": 10,
"minItems": 1,
"type": "array"
},
"multi_label": {
"default": false,
"description": "Score each label on its own instead of making them compete.",
"type": "boolean"
},
"text": {
"description": "English text, at most 2,000 characters.",
"maxLength": 2000,
"minLength": 1,
"type": "string"
}
},
"required": [
"text",
"labels"
],
"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": {
"hypothesis_template": {
"type": "string"
},
"labels": {
"items": {
"properties": {
"label": {
"type": "string"
},
"score": {
"type": "number"
}
},
"required": [
"label",
"score"
],
"type": "object"
},
"type": "array"
},
"model": {
"properties": {
"alias": {
"type": "string"
},
"id": {
"type": "string"
},
"license": {
"type": "string"
},
"revision": {
"type": "string"
},
"source": {
"type": "string"
}
},
"required": [
"id",
"source",
"license"
],
"type": "object"
},
"multi_label": {
"type": "boolean"
},
"note": {
"type": "string"
},
"truncated": {
"type": "boolean"
},
"usage": {
"type": "object"
}
},
"required": [
"model",
"labels"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}