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A Tiingo Alternative for Point-in-Time Fundamentals: An Honest Comparison

If you searched for a "Tiingo alternative for point-in-time fundamentals," you're probably already using or evaluating Tiingo — and you should know upfront: Tiingo is a genuinely good, genuinely PIT-aware option. Its Fundamentals API exposes an asReported flag, so you can pull figures exactly as a company first reported them to the SEC rather than the silently-restated version. That's the core capability most quants actually need, and Tiingo does it credibly and cheaply.

So this page is not a takedown. Tradevo Data is a narrow, single-purpose product, and there are real cases where Tiingo is the better choice. Below is a fair comparison so you can decide honestly — including the parts where Tiingo wins.

First, the honest framing

Both products let you avoid the classic backtesting trap: using a company's current, restated revenue when your strategy would only have known the originally filed number. That's what "point-in-time" means, and getting it wrong inflates backtests.

These are two valid designs for the same problem. Tiingo asks you to choose a view per request; Tradevo Data hands you both values side by side on every row with a boolean that tells you whether a restatement happened at all.

Where each product wins

Tradevo Data Tiingo
PIT approach original_value + latest_value on every row, plus explicit restated flag asReported=true/false parameter selects the view
Restatement visibility Explicit per-row boolean; 18,539 rows flagged in the dataset Derivable by comparing the two views; not a documented first-class flag
Query semantic One server-side as_of — server returns rows where first_filed <= as_of Rich statement model (income/balance/cash-flow) with as-reported/most-recent modes
Per-row QA qa_status on every row Not a documented per-row field
Coverage 5,214 US companies, annual only (10-K + 10-K/A) 5,500+ equities incl. ADRs, quarterly AND annual, 20+ yrs
Concepts 7 core concepts Full statements + daily metrics (P/E, P/B, EV, market cap)
Prices + news No Yes — EOD prices, news, broader platform
Free verifiable sample 40 companies, 3,212 rows, full methodology, no signup 3 years of DOW 30 for evaluation
Published methodology Public METHODOLOGY.md (tag resolution, stamping, restatement detection, QA) Documentation available; full internal methodology not published
Price $49/mo, flat Power plan $30/mo individual, $50/mo commercial; Fundamentals is a paid add-on, price not publicly listed — contact their sales
Frequency Annual only (quarterly on roadmap) Annual + quarterly + daily

(Tiingo figures per tiingo.com/documentation/fundamentals and tiingo.com/about/pricing, as of July 2026. Always confirm current numbers on their site.)

Tradevo Data's narrow, honest edges

We're not going to claim we're the cheapest PIT source or the only affordable one — Tiingo is inexpensive and credible, and so are others like Sharadar. Here's specifically what Tradevo Data does that's a little different:

  1. Both values on every row. You don't pick a mode. Each row carries original_value and latest_value together, so you can see the restatement drift without issuing two queries and diffing them yourself.
  2. An explicit restated flag. 18,539 rows in the dataset are labeled where the same tag drifted more than 0.5% (including amendments). If your research question is "which fundamentals got restated and by how much," that's a first-class field, not something you reconstruct.
  3. One as_of query semantic. A single endpoint — /v1/fundamentals?ticker&as_of[&concept] — applies the point-in-time filter server-side (first_filed <= as_of, same-day inclusive). There's one rule to reason about, and the server enforces it.
  4. Per-row qa_status. Every row tells you its own QA state, so you can filter on data quality directly.
  5. A radically transparent, verifiable free sample. The GitHub sample is 40 companies / 3,212 real rows with the full methodology and no signup — you can audit our restatement logic and first_filed stamping before you pay a cent. Our METHODOLOGY.md is public.

One honesty note on our own numbers: our measured lookahead of ~43.4 days mean / 61 max is from a 40-company reliable-filing sample, not a guarantee across all 5,214 companies. We publish it as a sample measurement, not a blanket claim.

When Tiingo (or building it yourself) is the better choice

This section is non-negotiable, because for a lot of people the answer is "just use Tiingo."

Choose Tiingo if:

Build it yourself if:

Try before you trust

If Tradevo Data's specific shape — both values per row, explicit restated, one as_of semantic, per-row qa_status — fits how you work, the honest next step is to verify it yourself, not to take our word for it.

And genuinely — if you check both and Tiingo fits better, use Tiingo. A tool you can verify and afford beats one you can't.


Not investment advice. Fundamentals are historical data, not a signal or a performance promise. Pricing and coverage for both products change — verify Tiingo's current numbers at tiingo.com and ours at tradevodata.com before you buy.

See for yourself — free sample, no signup.

40 large caps, 3,212 point-in-time rows, full methodology.