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.
- Tiingo solves this with the
asReportedparameter. SetasReported=trueand you get the figures as filed in that specific report;asReported=falsegives you the most-recent/corrected view. (Per Tiingo's Fundamentals documentation, as of July 2026.) - Tradevo Data takes a different, narrower shape: every row is stamped with
first_filed, and stores both anoriginal_value(first-reported, PIT-safe) and alatest_value(current), plus an explicitrestatedflag when the current value drifted from the original by more than 0.5% for the same underlying tag.
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:
- Both values on every row. You don't pick a mode. Each row carries
original_valueandlatest_valuetogether, so you can see the restatement drift without issuing two queries and diffing them yourself. - An explicit
restatedflag. 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. - One
as_ofquery 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. - Per-row
qa_status. Every row tells you its own QA state, so you can filter on data quality directly. - 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_filedstamping before you pay a cent. OurMETHODOLOGY.mdis 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:
- You need quarterly data. Tradevo Data is annual only right now (10-K + 10-K/A). Quarterly is on our roadmap but not shipped. If your strategy rebalances on 10-Qs, Tiingo already has you covered.
- You want prices, news, and fundamentals in one vendor. Tiingo is a broader platform — EOD prices, news, daily valuation metrics. Consolidating vendors has real value.
- You need ADRs or broader breadth. Tiingo covers 5,500+ equities including ADRs; we're 5,214 US companies, US only.
- Price matters most and their add-on comes in under $49/mo. Tiingo's Power plan is cheap, and their Fundamentals add-on price isn't public — it may well beat us for your use case. Get a real quote from them before comparing.
- You value maturity. Tiingo has years of production track record and a large user base. We're the honest budget tier of research-grade PIT, and newer.
Build it yourself if:
- You only need a handful of tickers and a few concepts. SEC EDGAR is public domain — everything Tradevo Data does is derived from it. If your universe is small and your team can maintain the tag-resolution and stamping logic, rolling your own is completely legitimate. Our whole value proposition is that we did that plumbing (and published exactly how), not that the underlying data is proprietary. It isn't.
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.
- Audit the free sample: 40 companies, 3,212 rows, full methodology, no signup. Check our restatement flags against the actual filings.
- If it holds up, the full API is $49/mo, 5,000 requests/day, instant key, cancel anytime.
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.