The Tool Desk
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The package page describes a Go 1.21+ baseline, MIT licensing, token providers, retry and timeout controls, typed errors, and runnable examples. Those documented features make it a production-minded integration option, not proof of independent reliability testing, a security audit, an SLA or suitability for a particular application.
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What bitquery-go does—and what it does not do
github.com/tigusigalpa/bitquery-go provides Go clients for Bitquery GraphQL. Its documentation separates historical V1 HTTP queries, V2 HTTP queries and opt-in V2 WebSocket subscriptions. The caller chooses the API contract and transport; the SDK does not silently change endpoints, translate a V1 document into V2 or fall back between versions. Package documentation
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That distinction matters because a GraphQL document is written against a particular schema. V1 and V2 are not interchangeable names for the same contract, and a query that works against one cannot be presumed to work against the other. Bitquery describes V2 as supporting historical and real-time data, with availability varying by chain. Bitquery documentation
#1 Best Overall
Choose the client by schema and workload
| Need | SDK path | What to verify |
|---|---|---|
| Run a retained historical V1 GraphQL document over HTTPS | V1 HTTP client | Confirm the document and dataset remain available. The package documentation identifies V1 use for Ethereum, BSC, Matic/Polygon and Tron as deprecated. |
| Make V2 request/response queries over HTTPS | V2 HTTP client | Check that the current V2 schema has the chain and fields required; V2 is not a drop-in replacement for every V1 dataset. |
| Receive live V2 updates | Separate V2 subscription client over WebSockets | Confirm chain and subscription support, then design lifecycle, cancellation, reconnect, queue and monitoring behavior. |
Bitquery’s endpoint guide lists chain support by region, and its regional V2 tables include networks such as Ethereum, BSC, Base, Solana, Arbitrum, Optimism, Tron and Polygon, with differences across regions. Its documentation homepage describes 40+ networks across V1 and V2; that combined figure does not mean every network is available through every version, endpoint or dataset. Check the live schema and endpoint tables for the precise combination you intend to use. Bitquery API endpoints Bitquery documentation
Install and make an authenticated request
The package documentation states a Go 1.21 or newer baseline and shows installation as a Go module. Provide the credential through process configuration or a secret store rather than embedding it in source code.
go get github.com/tigusigalpa/bitquery-goThe package documents both a pre-minted static token and a client-credentials provider that caches and refreshes tokens. Its HTTP flow sends a bearer token. For example, the credential can be injected into the process environment:
export BITQUERY_TOKEN="your-token"Then use the package’s documented V2 HTTP client and API for the query you actually need:
token := os.Getenv("BITQUERY_TOKEN")
if token == "" {
log.Fatal("BITQUERY_TOKEN is not set")
}
client := bitquery.NewV2Client(
bitquery.WithToken(token),
bitquery.WithTimeout(30*time.Second),
)
ctx, cancel := context.WithTimeout(context.Background(), 35*time.Second)
defer cancel()
result, err := client.Query(ctx, query, variables)
if err != nil {
log.Fatal(err)
}
Use the exact constructor, option names and query signature from the package version you pin; the example illustrates the documented pattern rather than promising a stable API across all releases. The package page lists version 1.0.0 as published September 22, 2026. Package metadata and documentation
Bitquery’s platform documentation says programmatic access requires an API key and describes a historical X-API-KEY mechanism, while the SDK documentation describes OAuth bearer tokens. These are not the same wire format. Follow Bitquery’s current authentication instructions for obtaining credentials, and use the token flow expected by the SDK and endpoint you select. Bitquery API endpoints
Configure operational controls deliberately
Contexts and timeouts
The package documents a timeout option and says requests and reconnects obey the supplied context.Context. Set an explicit context deadline that fits your application’s latency budget; a client timeout alone is not a substitute for cancellation tied to the request lifecycle.
Retries and replay safety
According to the package documentation, the default policy allows up to four attempts with approximately five-second exponential backoff, a sixty-second cap and jitter; a server-provided Retry-After takes precedence. It describes retries for transient network errors, HTTP 429 responses, temporary 5xx responses and documented shared-compute blocks. Retries apply only to reads: mutations and HTTP subscriptions are not automatically replayed. If your application retries an operation itself, establish that repeating it is safe for its semantics.
Rate limits and concurrency
The SDK documents a configurable rate limiter and says it does not automatically fan out or parallelize heavy queries. Bound concurrency in your own workers and respect the allowance on your Bitquery plan. A sample setting such as 30 requests per minute is illustrative configuration, not a vendor quota.
Rank #4
Errors and numeric precision
The package describes typed error categories for plan entitlement, rate limiting, server failures, strict GraphQL errors and subscription failures. Use rate-limit retry-after information where available; do not keep retrying an entitlement failure as if it were transient.
The package also says it exposes raw response data as json.RawMessage and uses json.Number in helper decoding to avoid silently converting large integers or token amounts to float64. Preserve exact numeric values when decoding blockchain quantities; convert to floating point only when the application can tolerate precision loss.
Handle credentials and WebSocket lifecycle safely
For WebSockets, Bitquery’s documented flow places an OAuth token in a ?token= URL parameter. The SDK says it adds that parameter internally and redacts tokens from its built-in errors and logger output. Keep credentials out of source control and application logs. Built-in redaction does not establish that custom loggers, proxies or surrounding application code will redact secrets too.
Best Value
The package documents a configurable OAuth token endpoint for proxy or test-server scenarios. For a subscription worker, define how shutdown cancels the connection, how reconnects are bounded, what happens if a consumer falls behind, and which metrics or alerts reveal a stalled stream. A WebSocket subscription is a separate persistent workflow, not an automatic upgrade of an HTTP query.
Check region, coverage and usage before rollout
Bitquery recommends choosing a regional endpoint near the application deployment region: “For optimal performance, use the endpoint closest to your application’s deployment region.” Its endpoint guide lists Europe, Asia and United States endpoints for V1 and V2, and says to use the corresponding endpoint with wss in place of https for WebSockets. Confirm the required chain in the table for the region you plan to use rather than assuming regional coverage is identical. Bitquery API endpoints
Bitquery describes its service as a hosted data warehouse and GraphQL layer with credit-based, resource-sensitive query accounting. Query cost can vary with resources used and query shape, so avoid uncontrolled fan-out and inspect current plan, concurrency and pricing terms before setting production budgets. Do not infer a numeric quota from an SDK example or from an older platform overview. Bitquery API endpoints
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The documentation includes controls useful in production integrations—context-aware requests, configurable timeouts and rate limiting, conservative read retries, typed errors, credential redaction in built-in diagnostics and precision-conscious decoding. That supports describing it as production-minded. It does not establish independent load-test results, audited security, guaranteed uptime or an SLA, nor does it prove that a specific application’s query volume, schemas or failure handling are suitable.
Before deployment, pin a package version, compile a representative query against the chosen live schema, validate chain and regional endpoint availability, test cancellation and error handling, and set application-level concurrency and cost monitoring. Treat the package page as documentation of the SDK’s stated behavior, not as a substitute for checking the version’s release notes or testing the integration you ship.
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