Crypto market data API

Crypto market data with explicit venue, history, and gap coverage

Query design starts with venue and market type, not a universal ticker. DataCedar captures raw exchange evidence, normalizes stable instruments and observations, records gaps, and serves eligible bars from its own hot and cold storage.

24 / 7
continuous-market validation
Venue-first
coverage model
R2
owned raw archive
Fail closed
rights-aware serving
Definition

A crypto market data API provides structured access to instruments and market observations. Reliable coverage names the venue, spot or derivatives market, symbol status, event time, historical boundary, sequence or interval rules, source lineage, and permitted use.

How DataCedar handles it

What you can query, which fields are returned, and how availability is reported.

01

Resolve the instrument

Keep venue, product class, base, quote or settlement asset, status, precision, and native symbol before mapping a canonical identity.

02

Reconcile the history

Archive files, bounded REST backfills, and live streams converge into one schema while retaining source-run and checksum lineage.

03

Measure every gap

Continuous expected intervals, reconnects, sequence gaps, duplicates, and late observations are recorded independently from the market rows.

04

Serve from owned storage

Customer reads are designed to use DataCedar tables rather than calling an exchange at request time; rights policy still determines which stored rows can be public.

Data surface

What the schema is built to carry.

Versioned instrument catalog
One-minute spot OHLCV
Derived larger intervals
UTC interval timestamps
Archive checksums and manifests
Expected-interval gap ledger
Independent R2 and database storage
Stream-level rights classification

Product boundary: The public production surface covers all active Binance Spot pairs as closed one-minute bars and derived intervals. It is venue-specific rather than a consolidated crypto feed; the all-symbol cold archive is still deepening.

API example

Venue-specific crypto bars

GET /v3/crypto/{symbol}/bars
Request
curl "https://api.datacedar.com/v3/crypto/BTCUSDT/bars?timeframe=1Min&start=2026-07-01T00:00:00Z" \
  -H "X-API-Key: $DATACEDAR_API_KEY"
Representative response
{
  "data": [],
  "coverage": {
    "venue": "binance",
    "market": "spot",
    "status": "served",
    "public_serving": true
  }
}

Examples document the public contract and may use illustrative values or redacted identifiers. Availability fields and rights filters are authoritative for the active environment.

Research workflow

Four steps from API key to a validated dataset.

01

Resolve

Select the venue, product class, and native instrument.

02

Check

Read historical boundaries, gaps, freshness, and rights state.

03

Query

Request only elapsed intervals eligible for the account and use.

04

Reproduce

Save cutoff, schema, source run, and coverage snapshot.

Field guide

How to evaluate a crypto data API

01

Do not confuse a venue with the market

Binance can provide broad and useful venue coverage, but its prices and liquidity are specific to Binance products. A consolidated crypto view needs additional venues, cross-venue identity, currency conversion, and conflict rules.

DataCedar therefore exposes venue as part of the instrument identity rather than hiding it in provenance metadata.

  • Name venue and market type.
  • Separate spot, perpetuals, futures, and options.
  • Keep native symbols and status history.
02

Continuous markets need an expected clock

A missing minute on Saturday is not a holiday. Expected intervals begin at listing, pause only under an explicit venue or coverage state, and end at delisting or the query cutoff.

Gap checks run beside value checks so a syntactically valid response cannot conceal an incomplete sample.

03

Independence starts with storage and replay

Raw payloads land in DataCedar-controlled object storage with retrieval metadata before normalization. The serving contract is ours, and a source adapter can be replaced without changing customer identifiers or response envelopes.

This operational independence does not erase source rights. Public serving remains a separate, enforced decision.

Comparison

Generic exchange wrapper versus a reproducible crypto layer

Both can return a candle. Only one explains which market produced it, whether every expected interval exists, and whether the row can be served.

Venue scopeOften hidden behind a symbol listVenue and market type remain explicit
Missing intervalsEmpty rows or silent forward fillsExpected, actual, and gap state recorded
Instrument identityDisplay ticker used as the keyNative symbol plus versioned canonical identity
Source dependencyCustomer request calls the upstream APIOwned raw storage and normalized serving tables
AvailabilityEndpoint presence implies coverageCoverage and rights state fail closed
Before you rely on it

A practical validation checklist.

  1. 01The venue and market type are named for every instrument
  2. 02First and last available timestamps are reported by stream
  3. 03UTC interval, event-time, and receive-time rules are documented
  4. 04Delisted, expired, pending, and suspended instruments remain visible
  5. 05Archive, REST, and live boundaries have been reconciled
  6. 06Duplicate, sequence, and expected-interval checks pass
  7. 07The intended display or redistribution use is explicitly permitted

Questions, answered.

No. The first independent layer is Binance-specific. Broader market coverage requires additional venue adapters and documented consolidation rules.

Build on reproducible crypto evidence, not a runtime venue dependency.

DataCedar stores raw source objects and normalized history independently, with coverage and rights enforced before serving.

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