Import labeled examples
curl --request POST \
--url https://api.moonbounce.ai/v1/decisions/{decision_id}/examples \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"questions": {
"counterfeit": {
"type": "noul",
"instructions": "Is this listing selling a counterfeit?",
"reads": [
"state.title"
]
},
"off_platform": {
"type": "noul",
"instructions": "Does it ask the buyer to pay off the platform?",
"reads": [
"state.description"
]
}
},
"aggregations": {
"risk": {
"type": "noisy_or",
"inputs": [
{
"name": "questions.counterfeit"
},
{
"name": "questions.off_platform"
}
]
},
"verdict": {
"type": "bands",
"input": "aggregations.risk",
"below": "allow",
"cuts": [
{
"at": 0.5,
"outcome": "remove"
}
]
}
},
"result": "aggregations.verdict",
"examples": [
{
"item_id": "listing-1",
"state": {
"title": "Rolex Submariner, brand new, $45",
"description": "DM me on WhatsApp to pay."
},
"claims": [
{
"kind": "expected_outcome",
"value": "remove"
},
{
"kind": "expected_answer",
"question": "off_platform",
"value": true
}
]
},
{
"item_id": "listing-2",
"state": {
"title": "Used road bike, 54cm",
"description": "Pick up in person, pay through checkout."
},
"claims": [
{
"kind": "expected_outcome",
"value": "allow"
}
],
"label_source": "human"
}
]
}
'import requests
url = "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples"
payload = {
"questions": {
"counterfeit": {
"type": "noul",
"instructions": "Is this listing selling a counterfeit?",
"reads": ["state.title"]
},
"off_platform": {
"type": "noul",
"instructions": "Does it ask the buyer to pay off the platform?",
"reads": ["state.description"]
}
},
"aggregations": {
"risk": {
"type": "noisy_or",
"inputs": [{ "name": "questions.counterfeit" }, { "name": "questions.off_platform" }]
},
"verdict": {
"type": "bands",
"input": "aggregations.risk",
"below": "allow",
"cuts": [
{
"at": 0.5,
"outcome": "remove"
}
]
}
},
"result": "aggregations.verdict",
"examples": [
{
"item_id": "listing-1",
"state": {
"title": "Rolex Submariner, brand new, $45",
"description": "DM me on WhatsApp to pay."
},
"claims": [
{
"kind": "expected_outcome",
"value": "remove"
},
{
"kind": "expected_answer",
"question": "off_platform",
"value": True
}
]
},
{
"item_id": "listing-2",
"state": {
"title": "Used road bike, 54cm",
"description": "Pick up in person, pay through checkout."
},
"claims": [
{
"kind": "expected_outcome",
"value": "allow"
}
],
"label_source": "human"
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
questions: {
counterfeit: {
type: 'noul',
instructions: 'Is this listing selling a counterfeit?',
reads: ['state.title']
},
off_platform: {
type: 'noul',
instructions: 'Does it ask the buyer to pay off the platform?',
reads: ['state.description']
}
},
aggregations: {
risk: {
type: 'noisy_or',
inputs: [{name: 'questions.counterfeit'}, {name: 'questions.off_platform'}]
},
verdict: {
type: 'bands',
input: 'aggregations.risk',
below: 'allow',
cuts: [{at: 0.5, outcome: 'remove'}]
}
},
result: 'aggregations.verdict',
examples: [
{
item_id: 'listing-1',
state: {
title: 'Rolex Submariner, brand new, $45',
description: 'DM me on WhatsApp to pay.'
},
claims: [
{kind: 'expected_outcome', value: 'remove'},
{kind: 'expected_answer', question: 'off_platform', value: true}
]
},
{
item_id: 'listing-2',
state: {
title: 'Used road bike, 54cm',
description: 'Pick up in person, pay through checkout.'
},
claims: [{kind: 'expected_outcome', value: 'allow'}],
label_source: 'human'
}
]
})
};
fetch('https://api.moonbounce.ai/v1/decisions/{decision_id}/examples', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'questions' => [
'counterfeit' => [
'type' => 'noul',
'instructions' => 'Is this listing selling a counterfeit?',
'reads' => [
'state.title'
]
],
'off_platform' => [
'type' => 'noul',
'instructions' => 'Does it ask the buyer to pay off the platform?',
'reads' => [
'state.description'
]
]
],
'aggregations' => [
'risk' => [
'type' => 'noisy_or',
'inputs' => [
[
'name' => 'questions.counterfeit'
],
[
'name' => 'questions.off_platform'
]
]
],
'verdict' => [
'type' => 'bands',
'input' => 'aggregations.risk',
'below' => 'allow',
'cuts' => [
[
'at' => 0.5,
'outcome' => 'remove'
]
]
]
],
'result' => 'aggregations.verdict',
'examples' => [
[
'item_id' => 'listing-1',
'state' => [
'title' => 'Rolex Submariner, brand new, $45',
'description' => 'DM me on WhatsApp to pay.'
],
'claims' => [
[
'kind' => 'expected_outcome',
'value' => 'remove'
],
[
'kind' => 'expected_answer',
'question' => 'off_platform',
'value' => true
]
]
],
[
'item_id' => 'listing-2',
'state' => [
'title' => 'Used road bike, 54cm',
'description' => 'Pick up in person, pay through checkout.'
],
'claims' => [
[
'kind' => 'expected_outcome',
'value' => 'allow'
]
],
'label_source' => 'human'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples"
payload := strings.NewReader("{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.moonbounce.ai/v1/decisions/{decision_id}/examples")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.moonbounce.ai/v1/decisions/{decision_id}/examples")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"run_id": "<string>",
"expires_at": "2023-11-07T05:31:56Z",
"dry_run": true,
"environment": "production",
"decision_id": "<string>",
"version": {
"structure_hash": "<string>",
"engine_profile": "<string>",
"binding": 1
},
"counts": {
"total": 1,
"decided": 1,
"computed": 1,
"abstained": 1,
"failed": 1,
"labeled": 1
},
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"results": [
{
"item_id": "<string>",
"status": "decided",
"evaluation_id": "<string>",
"id": "<string>",
"outcome": "<string>",
"value": 123,
"via": "<string>",
"missing": [
"<string>"
],
"answers": {},
"attributes": {},
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"evaluation": {
"environment": "production",
"id": "<string>",
"answers": {},
"aggregations": {},
"moonbounce": {
"decision_id": "<string>",
"item_id": "<string>",
"structure_hash": "<string>",
"metadata": {},
"summary": "<string>"
},
"version": {
"structure_hash": "<string>",
"binding": 2,
"engine_profile": "<string>"
},
"engines": {},
"usage": {
"input_tokens": 123,
"output_tokens": 123
},
"status": "computed",
"value": 123,
"dry_run": "<unknown>",
"via": "<string>",
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"calls": [
{
"questions": [
"<string>"
],
"reads": [
"state.message"
],
"input_tokens": 1
}
],
"outcome": "<unknown>",
"missing": [
"questions.asks_for_refund"
]
},
"error": {
"code": "<string>",
"message": "<string>",
"retryable": true
},
"feedback_id": "<string>"
}
]
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}feedback
Import labeled examples
Imports labeled examples: evaluate over the examples as a stored run, each stored as an example (assignment_mode example), and each example’s labels recorded as feedback (source import), in one transaction, so an example is never stored without its labels. It spends engine calls, so previews and suggestions can replay the examples with their answers. Send the structure inline (questions, attributes, aggregations, result; registered on first sight, as evaluate does) or a registered structure’s hash in structure_hash. Each example has its item_id, state, optional attribute_values, summary and metadata, its labels in claims (expected_answer and expected_outcome claims, at least one of either, checked as submit_feedback checks them; a verdict is refused), and label_source: human, synthetic (an agent wrote the label) or unknown (the default). Only human labels count toward the no-new-severe-mistake rule, and among near-identical items a label ranks owner > reviewer > human > unknown > synthetic. Up to 200 examples per call. Before any engine call every example is checked: content the structure refuses is 400 CONTENT_INVALID (param examples.<i>.state.<key> or examples.<i>.attribute_values.<name>), and claims are checked (examples.<i>.claims.<j>). The response is the run’s (201): run_id, and per example its result, its evaluation id and its feedback_id. An example that failed stored nothing: it comes back failed with error.retryable; send it again in a new call with a new Idempotency-Key. Pass run_id to loss_report to see how the version agrees with the labels. The request has a 60 s budget, the commit included; examples it could not start fail with NOT_STARTED. A replay with the same Idempotency-Key returns the first result with the Idempotent-Replayed header and calls no engine.
POST
/
v1
/
decisions
/
{decision_id}
/
examples
Import labeled examples
curl --request POST \
--url https://api.moonbounce.ai/v1/decisions/{decision_id}/examples \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"questions": {
"counterfeit": {
"type": "noul",
"instructions": "Is this listing selling a counterfeit?",
"reads": [
"state.title"
]
},
"off_platform": {
"type": "noul",
"instructions": "Does it ask the buyer to pay off the platform?",
"reads": [
"state.description"
]
}
},
"aggregations": {
"risk": {
"type": "noisy_or",
"inputs": [
{
"name": "questions.counterfeit"
},
{
"name": "questions.off_platform"
}
]
},
"verdict": {
"type": "bands",
"input": "aggregations.risk",
"below": "allow",
"cuts": [
{
"at": 0.5,
"outcome": "remove"
}
]
}
},
"result": "aggregations.verdict",
"examples": [
{
"item_id": "listing-1",
"state": {
"title": "Rolex Submariner, brand new, $45",
"description": "DM me on WhatsApp to pay."
},
"claims": [
{
"kind": "expected_outcome",
"value": "remove"
},
{
"kind": "expected_answer",
"question": "off_platform",
"value": true
}
]
},
{
"item_id": "listing-2",
"state": {
"title": "Used road bike, 54cm",
"description": "Pick up in person, pay through checkout."
},
"claims": [
{
"kind": "expected_outcome",
"value": "allow"
}
],
"label_source": "human"
}
]
}
'import requests
url = "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples"
payload = {
"questions": {
"counterfeit": {
"type": "noul",
"instructions": "Is this listing selling a counterfeit?",
"reads": ["state.title"]
},
"off_platform": {
"type": "noul",
"instructions": "Does it ask the buyer to pay off the platform?",
"reads": ["state.description"]
}
},
"aggregations": {
"risk": {
"type": "noisy_or",
"inputs": [{ "name": "questions.counterfeit" }, { "name": "questions.off_platform" }]
},
"verdict": {
"type": "bands",
"input": "aggregations.risk",
"below": "allow",
"cuts": [
{
"at": 0.5,
"outcome": "remove"
}
]
}
},
"result": "aggregations.verdict",
"examples": [
{
"item_id": "listing-1",
"state": {
"title": "Rolex Submariner, brand new, $45",
"description": "DM me on WhatsApp to pay."
},
"claims": [
{
"kind": "expected_outcome",
"value": "remove"
},
{
"kind": "expected_answer",
"question": "off_platform",
"value": True
}
]
},
{
"item_id": "listing-2",
"state": {
"title": "Used road bike, 54cm",
"description": "Pick up in person, pay through checkout."
},
"claims": [
{
"kind": "expected_outcome",
"value": "allow"
}
],
"label_source": "human"
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
questions: {
counterfeit: {
type: 'noul',
instructions: 'Is this listing selling a counterfeit?',
reads: ['state.title']
},
off_platform: {
type: 'noul',
instructions: 'Does it ask the buyer to pay off the platform?',
reads: ['state.description']
}
},
aggregations: {
risk: {
type: 'noisy_or',
inputs: [{name: 'questions.counterfeit'}, {name: 'questions.off_platform'}]
},
verdict: {
type: 'bands',
input: 'aggregations.risk',
below: 'allow',
cuts: [{at: 0.5, outcome: 'remove'}]
}
},
result: 'aggregations.verdict',
examples: [
{
item_id: 'listing-1',
state: {
title: 'Rolex Submariner, brand new, $45',
description: 'DM me on WhatsApp to pay.'
},
claims: [
{kind: 'expected_outcome', value: 'remove'},
{kind: 'expected_answer', question: 'off_platform', value: true}
]
},
{
item_id: 'listing-2',
state: {
title: 'Used road bike, 54cm',
description: 'Pick up in person, pay through checkout.'
},
claims: [{kind: 'expected_outcome', value: 'allow'}],
label_source: 'human'
}
]
})
};
fetch('https://api.moonbounce.ai/v1/decisions/{decision_id}/examples', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'questions' => [
'counterfeit' => [
'type' => 'noul',
'instructions' => 'Is this listing selling a counterfeit?',
'reads' => [
'state.title'
]
],
'off_platform' => [
'type' => 'noul',
'instructions' => 'Does it ask the buyer to pay off the platform?',
'reads' => [
'state.description'
]
]
],
'aggregations' => [
'risk' => [
'type' => 'noisy_or',
'inputs' => [
[
'name' => 'questions.counterfeit'
],
[
'name' => 'questions.off_platform'
]
]
],
'verdict' => [
'type' => 'bands',
'input' => 'aggregations.risk',
'below' => 'allow',
'cuts' => [
[
'at' => 0.5,
'outcome' => 'remove'
]
]
]
],
'result' => 'aggregations.verdict',
'examples' => [
[
'item_id' => 'listing-1',
'state' => [
'title' => 'Rolex Submariner, brand new, $45',
'description' => 'DM me on WhatsApp to pay.'
],
'claims' => [
[
'kind' => 'expected_outcome',
'value' => 'remove'
],
[
'kind' => 'expected_answer',
'question' => 'off_platform',
'value' => true
]
]
],
[
'item_id' => 'listing-2',
'state' => [
'title' => 'Used road bike, 54cm',
'description' => 'Pick up in person, pay through checkout.'
],
'claims' => [
[
'kind' => 'expected_outcome',
'value' => 'allow'
]
],
'label_source' => 'human'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.moonbounce.ai/v1/decisions/{decision_id}/examples"
payload := strings.NewReader("{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.moonbounce.ai/v1/decisions/{decision_id}/examples")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.moonbounce.ai/v1/decisions/{decision_id}/examples")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"questions\": {\n \"counterfeit\": {\n \"type\": \"noul\",\n \"instructions\": \"Is this listing selling a counterfeit?\",\n \"reads\": [\n \"state.title\"\n ]\n },\n \"off_platform\": {\n \"type\": \"noul\",\n \"instructions\": \"Does it ask the buyer to pay off the platform?\",\n \"reads\": [\n \"state.description\"\n ]\n }\n },\n \"aggregations\": {\n \"risk\": {\n \"type\": \"noisy_or\",\n \"inputs\": [\n {\n \"name\": \"questions.counterfeit\"\n },\n {\n \"name\": \"questions.off_platform\"\n }\n ]\n },\n \"verdict\": {\n \"type\": \"bands\",\n \"input\": \"aggregations.risk\",\n \"below\": \"allow\",\n \"cuts\": [\n {\n \"at\": 0.5,\n \"outcome\": \"remove\"\n }\n ]\n }\n },\n \"result\": \"aggregations.verdict\",\n \"examples\": [\n {\n \"item_id\": \"listing-1\",\n \"state\": {\n \"title\": \"Rolex Submariner, brand new, $45\",\n \"description\": \"DM me on WhatsApp to pay.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"remove\"\n },\n {\n \"kind\": \"expected_answer\",\n \"question\": \"off_platform\",\n \"value\": true\n }\n ]\n },\n {\n \"item_id\": \"listing-2\",\n \"state\": {\n \"title\": \"Used road bike, 54cm\",\n \"description\": \"Pick up in person, pay through checkout.\"\n },\n \"claims\": [\n {\n \"kind\": \"expected_outcome\",\n \"value\": \"allow\"\n }\n ],\n \"label_source\": \"human\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"run_id": "<string>",
"expires_at": "2023-11-07T05:31:56Z",
"dry_run": true,
"environment": "production",
"decision_id": "<string>",
"version": {
"structure_hash": "<string>",
"engine_profile": "<string>",
"binding": 1
},
"counts": {
"total": 1,
"decided": 1,
"computed": 1,
"abstained": 1,
"failed": 1,
"labeled": 1
},
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"results": [
{
"item_id": "<string>",
"status": "decided",
"evaluation_id": "<string>",
"id": "<string>",
"outcome": "<string>",
"value": 123,
"via": "<string>",
"missing": [
"<string>"
],
"answers": {},
"attributes": {},
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"evaluation": {
"environment": "production",
"id": "<string>",
"answers": {},
"aggregations": {},
"moonbounce": {
"decision_id": "<string>",
"item_id": "<string>",
"structure_hash": "<string>",
"metadata": {},
"summary": "<string>"
},
"version": {
"structure_hash": "<string>",
"binding": 2,
"engine_profile": "<string>"
},
"engines": {},
"usage": {
"input_tokens": 123,
"output_tokens": 123
},
"status": "computed",
"value": 123,
"dry_run": "<unknown>",
"via": "<string>",
"cost": {
"engine_calls": 1,
"cache_hits": 1,
"input_tokens": 1,
"usd_micros": 1
},
"calls": [
{
"questions": [
"<string>"
],
"reads": [
"state.message"
],
"input_tokens": 1
}
],
"outcome": "<unknown>",
"missing": [
"questions.asks_for_refund"
]
},
"error": {
"code": "<string>",
"message": "<string>",
"retryable": true
},
"feedback_id": "<string>"
}
]
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}{
"error": {
"type": "invalid_request",
"message": "<string>",
"reason": "<string>",
"param": "<string>",
"details": {
"issues": [
{
"param": "<string>",
"code": "<string>",
"message": "<string>"
}
]
}
}
}Authorizations
An API key, sent as Authorization: Bearer <key>. Each operation lists the scope its key needs: decisions:evaluate (evaluate and read evaluations), decisions:feedback (your app's feedback) or decisions:develop (everything else, including owner feedback and the review queue). An operation listing no scope takes any scoped key. A key with no scope, or without the operation's, gets 403 INSUFFICIENT_SCOPE.
Headers
Makes a retry safe. For 24 hours, the same key with the same request returns the first stored result (with Idempotent-Replayed: true); the same key with a different request is a 422 IDEMPOTENCY_KEY_REUSED. Keys are scoped to the organization and environment across every operation, so use a fresh key per request. A request that failed before its result was stored runs again when retried with its key.
Required string length:
1 - 255Pattern:
^[\x20-\x7e]+$Path Parameters
Pattern:
^[a-z][a-z0-9_.-]{0,127}$Body
application/json
- Option 1
- Option 2
System One questions, keyed by name.
Show child attributes
Show child attributes
The final feature's path, such as aggregations.band.
Required string length:
1 - 80Examples:
"questions.asks_for_refund"
"aggregations.band"
Required array length:
1 - 200 elementsShow child attributes
Show child attributes
Values your app supplies with each call in attribute_values. The model never sees them.
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Must be absent: send the structure inline or by its hash, not both.
Response
Imported
Pass it to loss_report; kept until expires_at. A stored run's evaluations stay after it expires.
Pattern:
^evr_[0-9a-f]{8}-[0-9a-f]{4}-7[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$Whether the items were dry runs (nothing stored) or stored as evaluations.
The environment of the key that made the call: production or test. Evaluations, feedback, reviews and suggestions are separate per environment; registered structures are shared.
Available options:
production, test Pattern:
^[a-z][a-z0-9_.-]{0,127}$Show child attributes
Show child attributes
Show child attributes
Show child attributes
Show child attributes
Show child attributes
One per example, in order. A failed example stored nothing: send it again in a new call.
Show child attributes
Show child attributes