Twelve Data Analysis API
The analysis API from Twelve Data — 9 operation(s) for analysis.
The analysis API from Twelve Data — 9 operation(s) for analysis.
Every API here is available over the APIs.io API and to AI agents over MCP.
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.curl "https://apis.io/api/v1/apis/twelvedata-analysis-api"
curl "https://apis.io/api/v1/apis?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
openapi: 3.2.0
info:
description: "## Overview\n\nWelcome to Twelve Data developer docs — your gateway to comprehensive financial market data through a powerful and easy-to-use API.\nTwelve Data provides access to financial markets across over 50 global countries, covering more than 1 million public instruments, including stocks, forex, ETFs, mutual funds, commodities, and cryptocurrencies.\n\n## Quickstart\n\nTo get started, you'll need to sign up for an API key. Once you have your API key, you can start making requests to the API.\n\n### Step 1: Create Twelve Data account\n\nSign up on the Twelve Data website to create your account [here](https://twelvedata.com/register). This gives you access to the API dashboard and your API key.\n\n### Step 2: Get your API key\n\nAfter signing in, navigate to your [dashboard](https://twelvedata.com/account/api-keys) to find your unique API key. This key is required to authenticate all API and WebSocket requests.\n\n### Step 3: Make your first request\n\nTry a simple API call with cURL to fetch the latest price for Apple (AAPL):\n\n```\ncurl \"https://api.twelvedata.com/price?symbol=AAPL&apikey=your_api_key\"\n```\n\n### Step 4: Make a request from Python or Javascript\n\nUse our client libraries or standard HTTP clients to make API calls programmatically. Here’s an example in [Python](https://github.com/twelvedata/twelvedata-python) and [Node.js](https://github.com/twelvedata/twelvedata-node):\n\n#### Python (using official Twelve Data SDK):\n\n```python\nfrom twelvedata import TDClient\n\n# Initialize client with your API key\ntd = TDClient(apikey=\"your_api_key\")\n\n# Get latest price for Apple\nprice = td.price(symbol=\"AAPL\").as_json()\n\nprint(price)\n```\n\n#### JavaScript (Node.js):\n\n```javascript\nimport { MarketDataApi, CreateConfig } from \"@twelvedata/twelvedata-node\";\n\nconst config = CreateConfig('your_api_key');\nconst api = new MarketDataApi(config);\n\nasync function main() {\n const response = await api.getPrice({\n symbol: \"AAPL\",\n });\n console.log(response.data);\n}\n\nmain().catch(console.error);\n```\n\n### Step 5: Perform correlation analysis between Tesla and Microsoft prices\n\nFetch historical price data for Tesla (TSLA) and Microsoft (MSFT) and calculate the correlation of their closing prices:\n\n```python\nfrom twelvedata import TDClient\nimport pandas as pd\n\n# Initialize client with your API key\ntd = TDClient(apikey=\"your_api_key\")\n\n# Fetch historical price data for Tesla\ntsla_ts = td.time_series(\n symbol=\"TSLA\",\n interval=\"1day\",\n outputsize=100\n).as_pandas()\n\n# Fetch historical price data for Microsoft\nmsft_ts = td.time_series(\n symbol=\"MSFT\",\n interval=\"1day\",\n outputsize=100\n).as_pandas()\n\n# Align data on datetime index\ncombined = pd.concat(\n [tsla_ts['close'].astype(float), msft_ts['close'].astype(float)],\n axis=1,\n keys=[\"TSLA\", \"MSFT\"]\n).dropna()\n\n# Calculate correlation\ncorrelation = combined[\"TSLA\"].corr(combined[\"MSFT\"])\nprint(f\"Correlation of closing prices between TSLA and MSFT: {correlation:.2f}\")\n```\n\n### Authentication\n\nAuthenticate your requests using one of these methods:\n\n#### Query parameter method\n```\nGET https://api.twelvedata.com/endpoint?symbol=AAPL&apikey=your_api_key\n```\n\n#### HTTP header method (recommended)\n```\nAuthorization: apikey your_api_key\n```\n\n##### API key useful information\n<ul>\n<li> Demo API key (<code>apikey=demo</code>) available for demo requests</li>\n<li> Personal API key required for full access</li>\n<li> Premium endpoints and data require higher-tier plans (testable with <a href=\"https://twelvedata.com/exchanges\">trial symbols</a>)</li>\n</ul>\n\n### API endpoints\n\n Service | Base URL |\n---------|----------|\n REST API | `https://api.twelvedata.com` |\n WebSocket | `wss://ws.twelvedata.com` |\n\n### Parameter guidelines\n<ul>\n<li><b>Separator:</b> Use <code>&</code> to separate multiple parameters</li>\n<li><b>Case sensitivity:</b> Parameter names are case-insensitive (<code>symbol=AAPL</code> = <code>symbol=aapl</code>)</li>\n<li><b>Multiple values:</b> Separate with commas where supported</li>\n</ul>\n\n### Response handling\n\n#### Default format\nAll responses return JSON format by default unless otherwise specified.\n\n#### Null values\n<b>Important:</b> Some response fields may contain `null` values when data is unavailable for specific metrics. This is expected behavior, not an error.\n\n##### Best Practices:\n<ul>\n<li>Always implement <code>null</code> value handling in your application</li>\n<li>Use defensive programming techniques for data processing</li>\n<li>Consider fallback values or error handling for critical metrics</li>\n</ul>\n\n#### Error handling\nStructure your code to gracefully handle:\n<ul>\n<li>Network timeouts</li>\n<li>Rate limiting responses</li>\n<li>Invalid parameter errors</li>\n<li>Data unavailability periods</li>\n</ul>\n\n##### Best practices\n<ul>\n<li><b>Rate limits:</b> Adhere to your plan’s rate limits to avoid throttling. Check your dashboard for details.</li>\n<li><b>Error handling:</b> Implement retry logic for transient errors (e.g., <code>429 Too Many Requests</code>).</li>\n<li><b>Caching:</b> Cache responses for frequently accessed data to reduce API calls and improve performance.</li>\n<li><b>Secure storage:</b> Store your API key securely and never expose it in client-side code or public repositories.</li>\n</ul>\n\n## Errors\n\nTwelve Data API employs a standardized error response format, delivering a JSON object with `code`, `message`, and `status` keys for clear and consistent error communication.\n\n### Codes\n\nBelow is a table of possible error codes, their HTTP status, meanings, and resolution steps:\n\n Code | status | Meaning | Resolution |\n --- | --- | --- | --- |\n **400** | Bad Request | Invalid or incorrect parameter(s) provided. | Check the `message` in the response for details. Refer to the API Documentation to correct the input. |\n **401** | Unauthorized | Invalid or incorrect API key. | Verify your API key is correct. Sign up for a key <a href=\"https://twelvedata.com/account/api-keys\">here</a>. |\n **403** | Forbidden | API key lacks permissions for the requested resource (upgrade required). | Upgrade your plan <a href=\"https://twelvedata.com/pricing\">here</a>. |\n **404** | Not Found | Requested data could not be found. | Adjust parameters to be less strict as they may be too restrictive. |\n **414** | Parameter Too Long | Input parameter array exceeds the allowed length. | Follow the `message` guidance to adjust the parameter length. |\n **429** | Too Many Requests | API request limit reached for your key. | Wait briefly or upgrade your plan <a href=\"https://twelvedata.com/pricing\">here</a>. |\n **500** | Internal Server Error | Server-side issue occurred; retry later. | Contact support <a href=\"https://twelvedata.com/contact\">here</a> for assistance. |\n\n### Example error response\n\nConsider the following invalid request:\n\n```\nhttps://api.twelvedata.com/time_series?symbol=AAPL&interval=0.99min&apikey=your_api_key\n```\n\nDue to the incorrect `interval` value, the API returns:\n\n```json\n{\n \"code\": 400,\n \"message\": \"Invalid **interval** provided: 0.99min. Supported intervals: 1min, 5min, 15min, 30min, 45min, 1h, 2h, 4h, 8h, 1day, 1week, 1month\",\n \"status\": \"error\"\n}\n```\n\nRefer to the API Documentation for valid parameter values to resolve such errors.\n\n## Libraries\n\nTwelve Data provides a growing ecosystem of libraries and integrations to help you build faster and smarter in your preferred environment. Official libraries are actively maintained by the Twelve Data team, while selected community-built libraries offer additional flexibility.\n\nA full list is available on our [GitHub profile](https://github.com/search?q=twelvedata).\n\n### Official SDKs\n<ul>\n<li><b>Python:</b> <a href=\"https://github.com/twelvedata/twelvedata-python\">twelvedata-python</a></li>\n<li><b>Node.js:</b> <a href=\"https://github.com/twelvedata/twelvedata-node\">twelvedata-node</a></li>\n<li><b>Go:</b> <a href=\"https://github.com/twelvedata/twelvedata-go\">twelvedata-go</a></li>\n<li><b>Java:</b> <a href=\"https://github.com/twelvedata/twelvedata-java\">twelvedata-java</a></li>\n<li><b>R:</b> <a href=\"https://github.com/twelvedata/twelvedata-r-sdk\">twelvedata-r-sdk</a></li>\n<li><b>CLI:</b> <a href=\"https://github.com/twelvedata/twelvedata-cli\">twelvedata-cli</a></li>\n</ul>\n\n### AI integrations\n<ul>\n<li><b>Twelve Data MCP Server:</b> <a href=\"https://github.com/twelvedata/mcp\">Repository</a> — Model Context Protocol (MCP) server that provides seamless integration with AI assistants and language models, enabling direct access to Twelve Data's financial market data within conversational interfaces and AI workflows.</li>\n<li><b>Twelve Data integration for OpenClaw:</b> <a href=\"https://clawhub.ai/twelvedata/twelvedata\">Clawhub skill</a> — Integration for the OpenClaw platform, allowing users to leverage Twelve Data's API within their OpenClaw applications.</li>\n<li><b>Twelve Data NEAR Agent:</b> <a href=\"https://market.near.ai/agents/twelve_data\">NEAR Agent</a> — Access Twelve Data's API directly from NEAR's AI agent platform, enabling users to retrieve financial data and insights within their NEAR AI agent workflows.</li>\n</ul>\n\n### Spreadsheet add-ons\n<ul>\n<li><b>Excel:</b> <a href=\"https://twelvedata.com/excel\">Excel Add-in</a></li>\n<li><b>Google Sheets:</b> <a href=\"https://twelvedata.com/google-sheets\">Google Sheets Add-on</a></li>\n</ul>\n\n### Community libraries\n\nThe community has developed libraries in several popular languages. You can explore more community libraries on [GitHub](https://github.com/search?q=twelvedata).\n<ul>\n<li><b>C#:</b> <a href=\"https://github.com/pseudomarkets/TwelveDataSharp\">TwelveDataSharp</a></li>\n<li><b>JavaScript:</b> <a href=\"https://github.com/evzaboun/twelvedata\">twelvedata</a></li>\n<li><b>PHP:</b> <a href=\"https://github.com/ingelby/twelvedata\">twelvedata</a></li>\n<li><b>Go:</b> <a href=\"https://github.com/soulgarden/twelvedata\">twelvedata</a></li>\n<li><b>TypeScript:</b> <a href=\"https://github.com/Clyde-Goodall/twelve-data-wrapper\">twelve-data-wrapper</a></li>\n</ul>\n\n### Other Twelve Data repositories\n<ul>\n<li><b>searchindex</b> <i>(Go)</i>: <a href=\"https://github.com/twelvedata/searchindex\">Repository</a> — In-memory search index by strings</li>\n<li><b>ws-tools</b> <i>(Python)</i>: <a href=\"https://github.com/twelvedata/ws-tools\">Repository</a> — Utility tools for WebSocket stream handling</li>\n</ul>\n\n### API specification\n<ul>\n<li><b>OpenAPI / Swagger:</b> Access the <a href=\"https://api.twelvedata.com/doc/swagger/openapi.json\">complete API specification</a> in OpenAPI format. You can use this file to automatically generate client libraries in your preferred programming language, explore the API interactively via Swagger tools, or integrate Twelve Data seamlessly into your AI and LLM workflows.</li>\n</ul>"
title: Twelve Data Analysis API
version: 0.0.1
servers:
- url: https://api.twelvedata.com/
security:
- authorizationHeader:
- '[]'
- queryParameter:
- '[]'
tags:
- name: analysis
paths:
/analyst_ratings/light:
get:
description: The analyst ratings snapshot endpoint provides a streamlined summary of ratings from analyst firms for both US and international markets. It delivers essential data on analyst recommendations, including buy, hold, and sell ratings, allowing users to quickly assess the general sentiment of analysts towards a particular stock.
operationId: GetAnalystRatingsLight
parameters:
- description: Filter by symbol
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
example: AAPL
- description: Filter by financial instrument global identifier (FIGI). This parameter is available on the <a href="https://twelvedata.com/pricing">Ultra</a> plan (individual) and the <a href="https://twelvedata.com/pricing-business">Enterprise</a> plan (business) and above.
in: query
name: figi
schema:
type: string
x-go-name: Figi
x-order: '20'
x-required-group: symbol
x-go-name: Figi
x-order: '20'
x-required-group: symbol
example: BBG000B9Y5X2
- description: Filter by international securities identification number (ISIN). ISIN access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: isin
schema:
type: string
x-go-name: Isin
x-order: '30'
x-required-group: symbol
x-go-name: Isin
x-order: '30'
x-required-group: symbol
example: US0378331005
- description: The CUSIP of an instrument for which data is requested. CUSIP access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: cusip
schema:
type: string
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
example: '594918104'
- description: Filter by exchange name
in: query
name: exchange
schema:
type: string
x-go-name: Exchange
x-order: '50'
x-go-name: Exchange
x-order: '50'
example: NASDAQ
- description: The Market Identifier Code (MIC) of the exchange where the instrument is traded, e.g., XNAS, XLON.
in: query
name: mic_code
schema:
type: string
x-go-name: MicCode
x-order: '55'
x-go-name: MicCode
x-order: '55'
example: XNAS
- description: Filter by rating change action
in: query
name: rating_change
schema:
$ref: '#/components/schemas/RatingChangeEnum'
x-go-name: RatingChange
x-order: '60'
- description: Number of records in response
in: query
name: outputsize
schema:
default: 30
format: int64
type: integer
x-go-name: PageSize
x-order: '70'
x-go-name: PageSize
x-order: '70'
- description: Filter by country name or alpha code, e.g., `United States` or `US`
in: query
name: country
schema:
type: string
x-go-name: Country
x-order: '40'
x-go-name: Country
x-order: '40'
example: United States
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetAnalystRatingsLight_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: Analyst ratings snapshot
tags:
- analysis
x-api-credits-cost: '75'
x-api-credits-type: symbol
x-group: Analysis
x-order: '80'
x-starting-plan: ultra,enterprise
x-url-hash: analyst-ratings-light
x-required:
anyOf:
- required:
- symbol
- figi
- isin
- cusip
/analyst_ratings/us_equities:
get:
description: The analyst ratings US equities endpoint provides detailed information on analyst ratings for U.S. stocks. It returns data on the latest ratings issued by various analyst firms, including the rating itself, the firm issuing the rating, and any changes in the rating. This endpoint is useful for users tracking analyst opinions on U.S. equities, allowing them to see how professional analysts view the potential performance of specific stocks.
operationId: GetAnalystRatingsUsEquities
parameters:
- description: Filter by symbol
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
example: AAPL
- description: Filter by financial instrument global identifier (FIGI). This parameter is available on the <a href="https://twelvedata.com/pricing">Ultra</a> plan (individual) and the <a href="https://twelvedata.com/pricing-business">Enterprise</a> plan (business) and above.
in: query
name: figi
schema:
type: string
x-go-name: Figi
x-order: '20'
x-required-group: symbol
x-go-name: Figi
x-order: '20'
x-required-group: symbol
example: BBG000B9Y5X2
- description: Filter by international securities identification number (ISIN). ISIN access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: isin
schema:
type: string
x-go-name: Isin
x-order: '30'
x-required-group: symbol
x-go-name: Isin
x-order: '30'
x-required-group: symbol
example: US0378331005
- description: The CUSIP of an instrument for which data is requested. CUSIP access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: cusip
schema:
type: string
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
example: '594918104'
- description: Filter by exchange name
in: query
name: exchange
schema:
type: string
x-go-name: Exchange
x-order: '50'
x-go-name: Exchange
x-order: '50'
example: NASDAQ
- description: The Market Identifier Code (MIC) of the exchange where the instrument is traded, e.g., XNAS, XLON.
in: query
name: mic_code
schema:
type: string
x-go-name: MicCode
x-order: '55'
x-go-name: MicCode
x-order: '55'
example: XNAS
- description: Filter by rating change action
in: query
name: rating_change
schema:
$ref: '#/components/schemas/RatingChangeEnum'
x-go-name: RatingChange
x-order: '60'
- description: Number of records in response
in: query
name: outputsize
schema:
default: 30
format: int64
type: integer
x-go-name: PageSize
x-order: '70'
x-go-name: PageSize
x-order: '70'
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetAnalystRatingsUsEquities_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: Analyst ratings US equities
tags:
- analysis
x-api-credits-cost: '200'
x-api-credits-type: symbol
x-group: Analysis
x-order: '90'
x-starting-plan: ultra,enterprise
x-url-hash: analyst-ratings-us
x-required:
anyOf:
- required:
- symbol
- figi
- isin
- cusip
/earnings_estimate:
get:
description: The earnings estimate endpoint provides access to analysts' projected earnings per share (EPS) for a specific company, covering both upcoming quarterly and annual periods. This data is crucial for users who need to track and compare expected financial performance across different timeframes, aiding in the evaluation of a company's future profitability.
operationId: GetEarningsEstimate
parameters:
- description: Filter by symbol
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
example: AAPL
- description: The FIGI of an instrument for which data is requested. This parameter is available on the <a href="https://twelvedata.com/pricing">Ultra</a> plan (individual) and the <a href="https://twelvedata.com/pricing-business">Enterprise</a> plan (business) and above.
in: query
name: figi
schema:
type: string
x-go-name: Figi
x-order: '20'
x-required-group: symbol
x-go-name: Figi
x-order: '20'
x-required-group: symbol
example: BBG000B9Y5X2
- description: Filter by international securities identification number (ISIN). ISIN access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: isin
schema:
type: string
x-go-name: Isin
x-order: '25'
x-required-group: symbol
x-go-name: Isin
x-order: '25'
x-required-group: symbol
example: US0378331005
- description: The CUSIP of an instrument for which data is requested. CUSIP access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: cusip
schema:
type: string
x-go-name: Cusip
x-order: '26'
x-required-group: symbol
x-go-name: Cusip
x-order: '26'
x-required-group: symbol
example: '594918104'
- description: The country where the instrument is traded, e.g., `United States` or `US`
in: query
name: country
schema:
type: string
x-go-name: Country
x-order: '60'
x-go-name: Country
x-order: '60'
example: United States
- description: Exchange where instrument is traded
in: query
name: exchange
schema:
type: string
x-go-name: Exchange
x-order: '40'
x-go-name: Exchange
x-order: '40'
example: NASDAQ
- description: The Market Identifier Code (MIC) of the exchange where the instrument is traded, e.g., XNAS, XLON.
in: query
name: mic_code
schema:
type: string
x-go-name: MicCode
x-order: '50'
x-go-name: MicCode
x-order: '50'
example: XNAS
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetEarningsEstimate_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: Earnings estimate
tags:
- analysis
x-api-credits-cost: '20'
x-api-credits-type: symbol
x-badge: Useful
x-group: Analysis
x-order: '10'
x-starting-plan: ultra,enterprise
x-url-hash: earning-estimate
x-required:
anyOf:
- required:
- symbol
- figi
- isin
- cusip
/eps_revisions:
get:
description: The EPS revisions endpoint provides updated analyst forecasts for a company's earnings per share (EPS) on both a quarterly and annual basis. It delivers data on how these EPS predictions have changed over the past week and month, allowing users to track recent adjustments in analyst expectations. This endpoint is useful for monitoring shifts in market sentiment regarding a company's financial performance.
operationId: GetEpsRevisions
parameters:
- description: Filter by symbol
in: query
name: symbol
schema:
type: string
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
x-go-name: Symbol
x-order: '10'
x-required-group: symbol
example: AAPL
- description: Filter by financial instrument global identifier (FIGI). This parameter is available on the <a href="https://twelvedata.com/pricing">Ultra</a> plan (individual) and the <a href="https://twelvedata.com/pricing-business">Enterprise</a> plan (business) and above.
in: query
name: figi
schema:
type: string
x-go-name: Figi
x-order: '20'
x-required-group: symbol
x-go-name: Figi
x-order: '20'
x-required-group: symbol
example: BBG000B9Y5X2
- description: Filter by international securities identification number (ISIN). ISIN access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: isin
schema:
type: string
x-go-name: Isin
x-order: '30'
x-required-group: symbol
x-go-name: Isin
x-order: '30'
x-required-group: symbol
example: US0378331005
- description: The CUSIP of an instrument for which data is requested. CUSIP access is activating in the <a href="https://twelvedata.com/account/add-ons">Data add-ons</a> section
in: query
name: cusip
schema:
type: string
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
x-go-name: Cusip
x-order: '31'
x-required-group: symbol
example: '594918104'
- description: Filter by country name or alpha code, e.g., `United States` or `US`
in: query
name: country
schema:
type: string
x-go-name: Country
x-order: '40'
x-go-name: Country
x-order: '40'
example: United States
- description: Filter by exchange name
in: query
name: exchange
schema:
type: string
x-go-name: Exchange
x-order: '50'
x-go-name: Exchange
x-order: '50'
example: NASDAQ
- description: The Market Identifier Code (MIC) of the exchange where the instrument is traded, e.g., XNAS, XLON.
in: query
name: mic_code
schema:
type: string
x-go-name: MicCode
x-order: '55'
x-go-name: MicCode
x-order: '55'
example: XNAS
responses:
'200':
content:
application/json:
schema:
$ref: '#/components/schemas/GetEpsRevisions_200_response'
description: ''
'400':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiBadRequestErrorResponseBody'
description: ''
'401':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiUnauthorizedErrorResponseBody'
description: ''
'403':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiForbiddenErrorResponseBody'
description: ''
'404':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiNotFoundErrorResponseBody'
description: ''
'414':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiParameterTooLongErrorResponseBody'
description: ''
'429':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiTooManyRequestsErrorResponseBody'
description: ''
'500':
content:
application/json:
schema:
$ref: '#/components/schemas/ApiInternalServerErrorResponseBody'
description: ''
summary: EPS revisions
tags:
- analysis
x-api-credits-cost: '20'
x-api-credits-type: symbol
x-group: Analysis
x-order: '40'
x-starting-plan: ultra,enterprise
x-url-hash: eps-revisions
x-required:
anyOf:
- required:
- symbol
- figi
- isin
- cusip
/eps_trend:
get:
description: The EPS trend endpoint provides detailed historical data on Earnings Per Share (EPS) trends over specified periods
# --- truncated at 32 KB (99 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/twelvedata/refs/heads/main/openapi/twelvedata-analysis-api-openapi.yml