mlpeek (Tanod) named entities
mlpeek (Tanod) named entities: OntoNotes types with offsets (spaCy, English).
Answeringour last check, 2026-10-10
1 of 1checks answered this week
217 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/ner
| 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 | 217 ms |
Example input (from the provider)
{
"body": {
"text": "Apple paid $3.5 million to John Smith in Berlin on 5 October 2026."
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"labels": {
"anyOf": [
{
"items": {
"enum": [
"CARDINAL",
"DATE",
"EVENT",
"FAC",
"GPE",
"LANGUAGE",
"LAW",
"LOC",
"MONEY",
"NORP",
"ORDINAL",
"ORG",
"PERCENT",
"PERSON",
"PRODUCT",
"QUANTITY",
"TIME",
"WORK_OF_ART"
],
"type": "string"
},
"maxItems": 18,
"minItems": 1,
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Only these entity types (default: all 18 OntoNotes types)."
},
"text": {
"description": "English text, at most 20,000 characters.",
"maxLength": 20000,
"minLength": 1,
"type": "string"
}
},
"required": [
"text"
],
"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": {
"chars_analyzed": {
"type": "integer"
},
"chunks": {
"type": "integer"
},
"counts": {
"additionalProperties": {
"type": "integer"
},
"type": "object"
},
"entities": {
"items": {
"properties": {
"end": {
"type": "integer"
},
"label": {
"type": "string"
},
"start": {
"type": "integer"
},
"text": {
"type": "string"
}
},
"required": [
"text",
"label",
"start",
"end"
],
"type": "object"
},
"type": "array"
},
"entities_truncated": {
"type": "boolean"
},
"model": {
"properties": {
"alias": {
"type": "string"
},
"id": {
"type": "string"
},
"license": {
"type": "string"
},
"revision": {
"type": "string"
},
"source": {
"type": "string"
}
},
"required": [
"id",
"source",
"license"
],
"type": "object"
},
"note": {
"type": "string"
}
},
"required": [
"model",
"entities",
"counts"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}