# Model Card Revision Monitor (`flintglade/model-card-revision-monitor`) Actor Detect meaningful changes between Hugging Face or explicit model-card revisions, with immutable source hashes, evidence locators, semantic categories, severity, unified diffs, and optional paid baselines. - **URL**: https://apify.com/flintglade/model-card-revision-monitor.md - **Developed by:** [Flintglade](https://apify.com/flintglade) (community) - **Categories:** AI, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 model card checks This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Model Card Revision Monitor Compare explicit model-card revisions and return evidence-located semantic changes across identity, license, provenance, evaluation, training, use, limitation, safety, environmental, citation, and file-reference categories. ### What this does not do This Actor does not crawl Hugging Face, discover models, rank model quality, verify a card's claims, infer legal permission, execute model code, download model weights, or monitor continuously after a run. It does not treat wording changes as proof that a model itself changed. ### Input Supply 1-50 documents. Each document contains exactly one of `huggingFaceRepo` or `modelCardUrl`. Hugging Face inputs may specify `revision` and `priorRevision`; both are resolved to immutable commit SHAs before the README is read. For explicit URLs, `priorRevision` is an optional second HTTPS URL. Controlled public example: ```json { "documents": [{ "huggingFaceRepo": "google-bert/bert-base-uncased", "revision": "5546055f03398095e385d7dc625e636cc8910bf2", "priorRevision": "0e9f43ffc3afb401b28131d3443a63cb98e5deb8" }], "includeUnifiedDiff": true, "concurrency": 1 } ```` `hfToken` is optional secret input for repositories the customer is authorized to access. `baselineStoreId` may name an existing Apify key-value store for paid, persistent baselines. Without an explicit prior revision or persistent baseline, the first successful observation creates a baseline result. ### Output Each document receives one deterministic result row followed by an uncharged run-summary row. A result includes immutable source revisions where available, raw hashes, parsed YAML metadata, section inventories with line locators, category deltas, severity, before/after excerpts, and a unified diff. Diffs larger than 200 KB are placed in run key-value storage and referenced by hash. Categories are `identity_metadata`, `license`, `base_model`, `datasets`, `pipeline_task`, `evaluation`, `training`, `intended_use`, `limitations`, `safety`, `environmental`, `citations`, and `file_references`. Pure whitespace changes are ignored. A section rename with unchanged content is a low-severity move. Removal of license, intended-use, limitation, or safety text is high severity; this is a review priority, not a legal or factual conclusion. ### Pricing The primary pay-per-event event is `model-card-check` at **$0.05 per document**. A baseline creation, unchanged comparison, material change, or definitive current-card 404/410 is chargeable. Unsafe URLs, authentication failure, rate-limit exhaustion, transient source failure, missing prior revision, unsupported media, invalid YAML, and internal failures are uncharged. One document costs up to $0.05 in Actor events, ten cost up to $0.50, and fifty cost up to $2.50, plus platform usage displayed by Apify. The Actor stops admitting work when the run charge limit is reached. ### Baselines and billing order When `baselineStoreId` is set, the candidate baseline is journaled before output. It becomes current only after Apify accepts the paid event. A charged-but-interrupted commit is recovered at the beginning of the next run. A baseline-store outage is uncharged and stops the run rather than silently switching to stateless behavior. ### Source and authorization policy The Actor reads only the named Hugging Face repository or explicit customer-provided HTTPS URL. Requests are bounded to 2 MB per response, redirects are revalidated against SSRF rules, private/reserved destinations are rejected, and transient responses receive bounded retries. Customers are responsible for access authorization and source terms. See `SOURCE_POLICY.md`. ### Partial failures and negative results Every admitted document has its own status. Duplicate inputs are rejected without charge. A missing current card is a paid definitive negative; a missing prior card is uncharged because no comparison can be completed. Malformed or unsafe YAML is rejected without charge. Source failures never become successful empty comparisons. ### Resource limits and privacy Launch settings are 256 MB minimum, 512 MB default, 1,024 MB maximum, and a 300-second timeout. Concurrency is bounded from 1-6. The Actor has no external telemetry. Tokens are not logged, emitted, or persisted in baseline records. Dataset and key-value retention follow the customer's Apify settings. See `PRIVACY.md` and `THREAT_MODEL.md`. ### Validation The release gate includes a 50-pair hand-labeled synthetic gold corpus. Category precision must be at least 0.95 and recall at least 0.90, every emitted delta must have evidence locators, and whitespace/move cases must produce zero false high-severity findings. ### Support Email `support@flintglade.com`. See `CHANGELOG.md` for version history. # Actor input Schema ## `inputSchemaVersion` (type: `integer`): Versioned runtime input contract. ## `documents` (type: `array`): Each document uses either a Hugging Face repository or an explicit HTTPS model-card URL. ## `baselineStoreId` (type: `string`): Optional existing key-value store. A new baseline is committed only after a paid event is accepted. ## `hfToken` (type: `string`): Optional token for repositories you are authorized to access. It is never emitted. ## `categories` (type: `array`): Semantic categories to include in delta output. ## `includeUnifiedDiff` (type: `boolean`): Diffs up to 200 KB are inline; larger diffs are stored as artifacts. ## `concurrency` (type: `integer`): Bounded simultaneous source reads; it does not change event price. ## Actor input object example ```json { "inputSchemaVersion": 1, "documents": [ { "huggingFaceRepo": "google-bert/bert-base-uncased", "revision": "5546055f03398095e385d7dc625e636cc8910bf2", "priorRevision": "0e9f43ffc3afb401b28131d3443a63cb98e5deb8" } ], "categories": [ "identity_metadata", "license", "base_model", "datasets", "pipeline_task", "evaluation", "training", "intended_use", "limitations", "safety", "environmental", "citations", "file_references" ], "includeUnifiedDiff": true, "concurrency": 3 } ``` # Actor output Schema ## `defaultDataset` (type: `string`): No description ## `runSummary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "documents": [ { "huggingFaceRepo": "google-bert/bert-base-uncased", "revision": "5546055f03398095e385d7dc625e636cc8910bf2", "priorRevision": "0e9f43ffc3afb401b28131d3443a63cb98e5deb8" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("flintglade/model-card-revision-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "documents": [{ "huggingFaceRepo": "google-bert/bert-base-uncased", "revision": "5546055f03398095e385d7dc625e636cc8910bf2", "priorRevision": "0e9f43ffc3afb401b28131d3443a63cb98e5deb8", }] } # Run the Actor and wait for it to finish run = client.actor("flintglade/model-card-revision-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "documents": [ { "huggingFaceRepo": "google-bert/bert-base-uncased", "revision": "5546055f03398095e385d7dc625e636cc8910bf2", "priorRevision": "0e9f43ffc3afb401b28131d3443a63cb98e5deb8" } ] }' | apify call flintglade/model-card-revision-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flintglade/model-card-revision-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Model Card Revision Monitor", "description": "Detect meaningful changes between Hugging Face or explicit model-card revisions, with immutable source hashes, evidence locators, semantic categories, severity, unified diffs, and optional paid baselines.", "version": "0.1", "x-build-id": "MwrXqmUbTYftS32iW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flintglade~model-card-revision-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flintglade-model-card-revision-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flintglade~model-card-revision-monitor/runs": { "post": { "operationId": "runs-sync-flintglade-model-card-revision-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flintglade~model-card-revision-monitor/run-sync": { "post": { "operationId": "run-sync-flintglade-model-card-revision-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "documents" ], "properties": { "inputSchemaVersion": { "title": "Input schema version", "minimum": 1, "maximum": 1, "type": "integer", "description": "Versioned runtime input contract.", "default": 1 }, "documents": { "title": "Model cards", "minItems": 1, "maxItems": 50, "type": "array", "description": "Each document uses either a Hugging Face repository or an explicit HTTPS model-card URL.", "items": { "type": "object", "additionalProperties": false, "properties": { "huggingFaceRepo": { "title": "Hugging Face repository", "type": "string", "maxLength": 193, "description": "Repository identifier in owner/name form." }, "modelCardUrl": { "title": "Explicit model-card URL", "type": "string", "maxLength": 2048, "editor": "textfield", "description": "Public or user-authorized HTTPS model-card URL." }, "revision": { "title": "Current revision", "type": "string", "maxLength": 128, "description": "Hugging Face branch, tag, or commit resolved to an immutable SHA." }, "priorRevision": { "title": "Prior revision or URL", "type": "string", "maxLength": 2048, "description": "Prior Hugging Face revision, or prior HTTPS URL in explicit URL mode." } } } }, "baselineStoreId": { "title": "Persistent baseline store ID", "type": "string", "description": "Optional existing key-value store. A new baseline is committed only after a paid event is accepted." }, "hfToken": { "title": "Hugging Face token", "type": "string", "description": "Optional token for repositories you are authorized to access. It is never emitted." }, "categories": { "title": "Categories", "minItems": 1, "uniqueItems": true, "type": "array", "description": "Semantic categories to include in delta output.", "items": { "type": "string", "enum": [ "identity_metadata", "license", "base_model", "datasets", "pipeline_task", "evaluation", "training", "intended_use", "limitations", "safety", "environmental", "citations", "file_references" ] }, "default": [ "identity_metadata", "license", "base_model", "datasets", "pipeline_task", "evaluation", "training", "intended_use", "limitations", "safety", "environmental", "citations", "file_references" ] }, "includeUnifiedDiff": { "title": "Include unified diff", "type": "boolean", "description": "Diffs up to 200 KB are inline; larger diffs are stored as artifacts.", "default": true }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 6, "type": "integer", "description": "Bounded simultaneous source reads; it does not change event price.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```