Prompt

Are there any historical price data APIs that include deep historical coverage and corporate action adjustments?

Finance / Financial Data1 observationLast seen Jul 23, 2026

Latest observation

Jul 23, 2026OpenAI APIWeb search: off

Yes — several APIs do, though the exact combination of deep history + corporate-action-adjusted prices varies a lot by vendor and asset class.

Good candidates

1) Polygon.io

  • Coverage: strong for US equities; intraday and daily history depending on plan
  • Adjustments: supports split/dividend-adjusted data for aggregates
  • Best for: modern developer-friendly API, equities focused

2) Tiingo

  • Coverage: long daily history for many US equities/ETFs
  • Adjustments: adjusted prices included; split/dividend data available
  • Best for: clean end-of-day equity data with adjustments

3) Nasdaq Data Link / Quandl datasets

  • Coverage: depends on dataset, some go very deep historically
  • Adjustments: many premium datasets are adjusted; corporate actions often included separately or baked in
  • Best for: flexibility, research workflows, alternative vendors

4) Alpha Vantage

  • Coverage: decent, but not as deep or robust as institutional sources
  • Adjustments: adjusted daily series available
  • Best for: lightweight use, prototyping

5) EOD Historical Data

  • Coverage: broad global equities with long history
  • Adjustments: adjusted OHLC data and corporate actions
  • Best for: international equities and reasonably deep history

6) Intrinio

  • Coverage: broad market data products, depth varies by package
  • Adjustments: corporate action-aware pricing options
  • Best for: professional use, enterprise integrations

7) Bloomberg / Refinitiv / FactSet / S&P Capital IQ

  • Coverage: very deep, institutional-grade
  • Adjustments: extensive corporate action handling
  • Best for: institutional research/compliance-heavy environments
  • Tradeoff: expensive and licensing-heavy

What to check when comparing

To make sure an API really fits your use case, verify:

  • Adjusted close vs adjusted OHLC
  • Whether adjustments are split-only or split + dividend
  • Whether the vendor provides raw prices and corporate actions separately
  • Survivorship-bias-free coverage for delisted securities
  • History depth: daily back to IPO, or only a limited window
  • Support for global markets if needed

Quick recommendation

  • If you want a developer-friendly API: Polygon or Tiingo
  • If you want global/long history: EOD Historical Data
  • If you want institutional-grade depth: Bloomberg/Refinitiv/FactSet

If you want, I can also give you a comparison table of the best APIs by:

  • history depth
  • adjustment quality
  • pricing
  • ease of use
  • asset class coverage

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.