News Blindspot
Pricing
Pay per usage
Go to Apify Store
News Blindspot
Detects open-data media coverage blindspots — topics heavily covered by one political side but undercovered by others. Uses GDELT, AllSides, and MBFC data only.
Pricing
Pay per usage
Detects open-data media coverage blindspots — topics heavily covered by one political side but undercovered by others. Uses GDELT, AllSides, and MBFC data only.
You can access the News Blindspot 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 Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "f8uA0sY3g1mtUiOSC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/spirosdouk~news-blindspot/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-spirosdouk-news-blindspot", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/spirosdouk~news-blindspot/runs": { "post": { "operationId": "runs-sync-spirosdouk-news-blindspot", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/spirosdouk~news-blindspot/run-sync": { "post": { "operationId": "run-sync-spirosdouk-news-blindspot", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Queries", "type": "array", "description": "Search queries for GDELT", "default": [ "climate change", "immigration" ] }, "sinceHours": { "title": "Since Hours", "minimum": 1, "maximum": 168, "type": "integer", "description": "Lookback window (1–168 hours)", "default": 24 }, "blindspotThresholdPct": { "title": "Blindspot Threshold %", "minimum": 0, "maximum": 100, "type": "number", "description": "Side must be below this % to flag (0–100)", "default": 20 }, "gapMinPct": { "title": "Gap Min %", "minimum": 0, "maximum": 100, "type": "number", "description": "Minimum gap vs next side to flag (0–100)", "default": 12 }, "maxRepUrlsPerSide": { "title": "Max Representative URLs Per Side", "minimum": 1, "maximum": 20, "type": "integer", "description": "Representative URLs per side (1–20)", "default": 3 }, "restrictToEnglish": { "title": "Restrict to English", "type": "boolean", "description": "Filter to English sources via GDELT", "default": true }, "excludeUnknownFromBlindspot": { "title": "Exclude Unknown from Blindspot", "type": "boolean", "description": "Use known-only shares for blindspot math", "default": true }, "overridesPath": { "title": "Overrides Path", "type": "string", "description": "Path to overrides JSON: { \"example.com\": \"left|center|right\" }", "default": "./bias-overrides.json" }, "enableLearning": { "title": "Enable Learning", "type": "boolean", "description": "Enable conservative alias learning", "default": true }, "learningMinCount": { "title": "Learning Min Count", "minimum": 2, "maximum": 100, "type": "integer", "description": "Min samples to learn alias (2–100)", "default": 3 }, "learningMinConsistency": { "title": "Learning Min Consistency", "minimum": 0, "maximum": 1, "type": "number", "description": "Min consistency to learn alias (0–1)", "default": 0.8 }, "suggestionsMax": { "title": "Suggestions Max", "minimum": 0, "type": "integer", "description": "Max override suggestions to emit", "default": 15 }, "suggestionsMinCount": { "title": "Suggestions Min Count", "minimum": 0, "type": "integer", "description": "Min count for override suggestions", "default": 2 }, "enableLlmWeakLabeler": { "title": "Enable LLM Weak Labeler", "type": "boolean", "description": "Enable LLM weak labeler (OFF by default, recommended)", "default": false }, "llmMaxDomains": { "title": "LLM Max Domains", "minimum": 0, "type": "integer", "description": "Max domains to label with LLM", "default": 15 }, "llmMinCount": { "title": "LLM Min Count", "minimum": 0, "type": "integer", "description": "Min articles per domain for LLM labeling", "default": 3 }, "llmConfidenceThreshold": { "title": "LLM Confidence Threshold", "minimum": 0, "maximum": 1, "type": "number", "description": "LLM confidence threshold (0–1)", "default": 0.8 }, "llmMarginThreshold": { "title": "LLM Margin Threshold", "minimum": 0, "maximum": 1, "type": "number", "description": "LLM margin threshold (0–1)", "default": 0.12 }, "llmSampleTitlesPerDomain": { "title": "LLM Sample Titles Per Domain", "minimum": 1, "type": "integer", "description": "Sample titles per domain for LLM", "default": 8 }, "forceRefreshCache": { "title": "Force Refresh Cache", "type": "boolean", "description": "Force refresh of bias cache", "default": false }, "autoWriteSuggestedOverrides": { "title": "Auto Write Suggested Overrides", "type": "boolean", "description": "Automatically write suggested overrides to file", "default": false }, "autoOverridesMax": { "title": "Auto Overrides Max", "minimum": 0, "type": "integer", "description": "Maximum number of auto-written overrides", "default": 5 } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for News Blindspot from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: