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Physical Count & Recount Consistency Evidence

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Compare actual first and recount quantities against an exact session/SKU/location/lot/unit baseline. Retain duplicate ambiguity, missing counts and cutoff limits with source evidence. JSON or mapped CSV; no valuation or stock adjustments.

Pricing

$0.25 / completed report

Rating

0.0

(0)

Developer

Gilad Ronen

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

E-commerce

Automation

You can access the Physical Count & Recount Consistency Evidence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sessionId": "session-001",
10    "firstPassId": "first",
11    "recountPassId": "recount",
12    "cutOffEvidence": "comparable",
13    "baselineCoverage": "complete",
14    "baselineRows": [
15        {
16            "rowId": "b0",
17            "sessionId": "session-001",
18            "sku": "0001",
19            "locationId": "warehouse-A",
20            "lotId": "",
21            "unit": "each",
22            "quantity": "0",
23        },
24        {
25            "rowId": "b1",
26            "sessionId": "session-001",
27            "sku": "revised",
28            "locationId": "warehouse-A",
29            "lotId": "",
30            "unit": "each",
31            "quantity": "12.5",
32        },
33        {
34            "rowId": "b2",
35            "sessionId": "session-001",
36            "sku": "missing-second",
37            "locationId": "warehouse-A",
38            "lotId": "",
39            "unit": "each",
40            "quantity": "5",
41        },
42        {
43            "rowId": "b3",
44            "sessionId": "session-001",
45            "sku": "duplicate-counter",
46            "locationId": "warehouse-A",
47            "lotId": "",
48            "unit": "each",
49            "quantity": "7",
50        },
51        {
52            "rowId": "b4",
53            "sessionId": "session-001",
54            "sku": "tracked",
55            "locationId": "warehouse-A",
56            "lotId": "lot-01",
57            "unit": "each",
58            "quantity": "9",
59        },
60        {
61            "rowId": "b5",
62            "sessionId": "session-001",
63            "sku": "units",
64            "locationId": "warehouse-A",
65            "lotId": "",
66            "unit": "kg",
67            "quantity": "1.125",
68        },
69    ],
70    "countRows": [
71        {
72            "rowId": "c0",
73            "sessionId": "session-001",
74            "passId": "first",
75            "sku": "0001",
76            "locationId": "warehouse-A",
77            "lotId": "",
78            "unit": "each",
79            "countedQuantity": "0",
80        },
81        {
82            "rowId": "c1",
83            "sessionId": "session-001",
84            "passId": "recount",
85            "sku": "0001",
86            "locationId": "warehouse-A",
87            "lotId": "",
88            "unit": "each",
89            "countedQuantity": "0.000",
90        },
91        {
92            "rowId": "c2",
93            "sessionId": "session-001",
94            "passId": "first",
95            "sku": "revised",
96            "locationId": "warehouse-A",
97            "lotId": "",
98            "unit": "each",
99            "countedQuantity": "12",
100        },
101        {
102            "rowId": "c3",
103            "sessionId": "session-001",
104            "passId": "recount",
105            "sku": "revised",
106            "locationId": "warehouse-A",
107            "lotId": "",
108            "unit": "each",
109            "countedQuantity": "12.5",
110        },
111        {
112            "rowId": "c4",
113            "sessionId": "session-001",
114            "passId": "first",
115            "sku": "missing-second",
116            "locationId": "warehouse-A",
117            "lotId": "",
118            "unit": "each",
119            "countedQuantity": "5",
120        },
121        {
122            "rowId": "c5",
123            "sessionId": "session-001",
124            "passId": "first",
125            "sku": "duplicate-counter",
126            "locationId": "warehouse-A",
127            "lotId": "",
128            "unit": "each",
129            "countedQuantity": "7",
130        },
131        {
132            "rowId": "c6",
133            "sessionId": "session-001",
134            "passId": "first",
135            "sku": "duplicate-counter",
136            "locationId": "warehouse-A",
137            "lotId": "",
138            "unit": "each",
139            "countedQuantity": "7",
140        },
141        {
142            "rowId": "c7",
143            "sessionId": "session-001",
144            "passId": "recount",
145            "sku": "duplicate-counter",
146            "locationId": "warehouse-A",
147            "lotId": "",
148            "unit": "each",
149            "countedQuantity": "7",
150        },
151        {
152            "rowId": "c8",
153            "sessionId": "session-001",
154            "passId": "first",
155            "sku": "tracked",
156            "locationId": "warehouse-A",
157            "lotId": "",
158            "unit": "each",
159            "countedQuantity": "9",
160        },
161        {
162            "rowId": "c9",
163            "sessionId": "session-001",
164            "passId": "recount",
165            "sku": "tracked",
166            "locationId": "warehouse-A",
167            "lotId": "",
168            "unit": "each",
169            "countedQuantity": "9",
170        },
171        {
172            "rowId": "c10",
173            "sessionId": "session-001",
174            "passId": "first",
175            "sku": "units",
176            "locationId": "warehouse-A",
177            "lotId": "",
178            "unit": "g",
179            "countedQuantity": "1125",
180        },
181        {
182            "rowId": "c11",
183            "sessionId": "session-001",
184            "passId": "recount",
185            "sku": "units",
186            "locationId": "warehouse-A",
187            "lotId": "",
188            "unit": "g",
189            "countedQuantity": "1125",
190        },
191        {
192            "rowId": "c12",
193            "sessionId": "session-001",
194            "passId": "first",
195            "sku": "count-only",
196            "locationId": "warehouse-A",
197            "lotId": "",
198            "unit": "each",
199            "countedQuantity": "0.1",
200        },
201        {
202            "rowId": "c13",
203            "sessionId": "session-001",
204            "passId": "recount",
205            "sku": "count-only",
206            "locationId": "warehouse-A",
207            "lotId": "",
208            "unit": "each",
209            "countedQuantity": "0.2",
210        },
211        {
212            "rowId": "other-session",
213            "sessionId": "another-session",
214            "passId": "first",
215            "sku": "0001",
216            "locationId": "warehouse-A",
217            "lotId": "",
218            "unit": "each",
219            "countedQuantity": "99",
220        },
221        {
222            "rowId": "other-pass",
223            "sessionId": "session-001",
224            "passId": "ignored",
225            "sku": "0001",
226            "locationId": "warehouse-A",
227            "lotId": "",
228            "unit": "each",
229            "countedQuantity": "88",
230        },
231    ],
232    "baselineCsv": "",
233    "countsCsv": "",
234    "baselineColumns": {
235        "rowId": "rowId",
236        "sessionId": "sessionId",
237        "sku": "sku",
238        "locationId": "locationId",
239        "lotId": "lotId",
240        "unit": "unit",
241        "quantity": "quantity",
242    },
243    "countColumns": {
244        "rowId": "rowId",
245        "sessionId": "sessionId",
246        "passId": "passId",
247        "sku": "sku",
248        "locationId": "locationId",
249        "lotId": "lotId",
250        "unit": "unit",
251        "countedQuantity": "countedQuantity",
252    },
253}
254
255# Run the Actor and wait for it to finish
256run = client.actor("h_murdock/count-pass-consistency-evidence").call(run_input=run_input)
257
258# Fetch and print Actor results from the run's dataset (if there are any)
259print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
260for item in client.dataset(run.default_dataset_id).iterate_items():
261    print(item)
262
263# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Physical Count & Recount Consistency Evidence API in Python

The Apify API client for Python is the official library that allows you to use Physical Count & Recount Consistency Evidence API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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Physical Count & Recount Consistency Evidence API in JavaScript

Physical Count & Recount Consistency Evidence API through CLI

Physical Count & Recount Consistency Evidence OpenAPI definition

Physical Count & Recount Consistency Evidence API

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