en.speedyindex.com

SpeedyIndex is a Google indexing service that dispatches the real mobile Googlebot to crawl URLs you submit, then charges tokens only for links that end up confirmed as indexed. You can use it without Google Search Console access, and it works for any website or backlink. The core workflow is: create a task by uploading a .txt file (up to 100,000 URLs) or pasting links, wait for Googlebot to crawl, watch first results appear within 48–72 hours, and receive a final report on day 7 with automatic refunds for anything unindexed.

What you need before starting

• A list of URLs to index, one per line.
• A SpeedyIndex account with tokens available. The service states 1 indexed link = 100 tokens, and that you can test with 100 free tokens.
• No Google Search Console access is required — this matters if you're indexing backlinks or third-party pages you don't own.

Step-by-step: submitting an indexing task

1. Upload your links

Send a .txt file with up to 100,000 URLs per file, or paste links directly into the web app. One URL per line.

Expected result: the task is created and starts immediately — there's no manual approval queue described.

2. SpeedyIndex sends Googlebot

The service dispatches the real mobile Googlebot to follow and crawl each URL you submitted.

Expected result: crawling begins right away. This is the mechanism that separates SpeedyIndex from tools that use link wheels, GSA, Xrumer, or other blackhat methods — the site claims its approach is aligned with Google's guidelines.

3. Watch for first results

Within 48–72 hours you should see the first indexed URLs. Indexation continues to grow across the full 7-day window.

Expected result: live progress is trackable in your dashboard from day 1, so you don't have to wait until the end to see movement.

4. Get the final report and automatic refund

On day 7, SpeedyIndex delivers a full report showing indexed vs. not indexed URLs. Tokens for unindexed links are refunded automatically — no claim or support ticket needed.

Expected result: you only pay for confirmed results. The site states a 100% refund for any unindexed link.

How the pay-per-result model affects your decisions

This model is most useful when you're indexing links you don't control (backlinks, guest posts, syndicated content) and want to avoid paying for URLs that never get picked up. If you need guaranteed indexing regardless of outcome, this isn't that kind of service — it's explicitly pay-for-confirmed-results.

Common sticking points

• Results aren't instant. First results take 48–72 hours, and the full picture only arrives on day 7. Don't judge a task before the window closes.
• File size limit. Keep each .txt file at or under 100,000 URLs. Split larger lists.
• One URL per line. Formatting errors in the file can cause URLs to be skipped or misread.
• Tokens, not currency. Pricing is expressed in tokens (100 per indexed link), so budget in tokens rather than assuming a per-link dollar figure.
• Indexing isn't ranking. Getting a URL into Google's database is a prerequisite for appearing in search results, but it doesn't guarantee position or traffic.

When this workflow fits

Use SpeedyIndex when you have a batch of URLs — especially backlinks or pages on sites you don't own — and you want to pay only for the ones Google actually indexes. Skip it if you need same-day results, or if you'd rather manage indexing entirely through Google Search Console for properties you control. To start, the site offers a free test with 100 tokens so you can run one task and see the dashboard and refund behavior before committing.

OpenAPI-generated API documentation is reference documentation that is produced automatically from an OpenAPI description file rather than written by hand. You write (or generate) a machine-readable specification of your API — endpoints, parameters, request bodies, responses, schemas, and auth — and a documentation tool reads that file and renders a browsable, often interactive reference site. The spec becomes the single source of truth; the docs become a build artifact.

This differs from manually written docs in one fundamental way: with hand-written docs, the prose is the source of truth and the API is described separately. With spec-driven docs, the API description is the source, and every page, table, and code sample is derived from it.

How the workflow actually runs

A typical spec-driven documentation pipeline has five stages:

1. Author or generate the spec. You either write an OpenAPI document by hand (YAML or JSON), or generate it from code annotations, framework metadata, or a design-first editor. Design-first means the spec is written before implementation; code-first means it is extracted from existing code.
2. Validate and lint. The spec is checked against the OpenAPI schema and against style rules — consistent naming, required descriptions, no undocumented 4xx responses, no orphaned schemas.
3. Bundle and transform. Multi-file specs are combined, $ref pointers are resolved, and the document is optionally split into per-tag or per-version outputs.
4. Render. A documentation tool converts the spec into HTML: an endpoint list, a sidebar of operations, parameter tables, response schemas, and a "try it" console.
5. Publish and version. The rendered site is deployed, and each API version gets its own snapshot so consumers can read docs matching the version they call.

Steps 2 through 5 are usually automated in CI. If the spec fails validation, the docs build fails — which is the point.

Spec-driven vs. hand-written documentation

The practical conclusion most teams reach: generate the reference, write the guides. Reference material is repetitive and mechanical, which is exactly what generation is good at. Conceptual explanations, migration notes, and tutorials carry judgment that a spec cannot express.

What you get out of the box

Generated reference pages commonly include:

• An operation list grouped by tag or path, with HTTP method and path.
• Parameter tables showing name, location (path, query, header, cookie), type, required flag, and description.
• Request and response schemas rendered as expandable trees, including nested objects and arrays.
• Authentication details pulled from the securitySchemes section.
• Interactive request consoles that let a reader send a real call from the browser.
• Generated code samples in several languages, derived from the same schemas.
• Multiple output formats, such as a static site, a single HTML file, or a mock server.

Because all of these come from one document, changing a field name in the spec updates the parameter table, the schema tree, and every code sample at once.

Where spec-driven documentation breaks down

Generation is not free. The trade-offs are real:

Spec quality becomes documentation quality. A field with no description produces a table row with an empty cell. A vague summary produces a vague heading. Tools can enforce presence of descriptions via linting, but they cannot enforce that the description is useful.

Customization has limits. If you need a page that does not map to an OpenAPI concept — a conceptual overview, a pricing explanation, a comparison of two endpoints — you write it outside the generator and link to it.

Not everything is expressible. Webhooks, streaming responses, long-polling behavior, and complex multi-step flows are awkward or impossible to describe fully in OpenAPI. Those need prose.

The spec can go stale. If the spec is maintained separately from the implementation, it drifts just like hand-written docs. The mitigation is to generate the spec from code, or to test the implementation against the spec in CI.

Interactive consoles need care. A "try it" button that hits a production API with real credentials is a security and rate-limit problem. Point it at a sandbox, or disable it.

Deciding whether to adopt it

Adopt spec-driven reference documentation if most of these are true:

• Your API has more than a handful of endpoints, or changes frequently.
• You ship client SDKs or code samples in more than one language.
• Multiple teams consume the API and need a consistent, always-current reference.
• You already have, or are willing to maintain, an OpenAPI description.

Stay with hand-written docs, or a hybrid, if:

• Your API is small and stable, and the reference fits on one page.
• Your documentation is mostly conceptual and contains little endpoint-level detail.
• You cannot commit to keeping the spec in sync with the implementation.

A reasonable middle path: generate the reference from the spec, and hand-write the getting-started guide, authentication walkthrough, and error-handling page. Link the two directions so readers can move from concept to endpoint and back.

A minimal starting checklist

1. Produce one valid OpenAPI document for a single API version.
2. Add a linter with rules for descriptions, operation IDs, and error responses.
3. Wire the docs build into CI so a failing spec fails the build.
4. Render the reference and review it as a reader, not as the author.
5. Write the two or three conceptual pages the generator cannot produce.
6. Version the published docs alongside the API version.

The core idea is simple: describe the API once, in a format both machines and humans can read, and let the reference documentation fall out of that description. Everything else — tooling, hosting, interactivity — is a detail on top of that decision.

SpeedyIndex is a Google indexing service and automated link indexer that sends the real mobile Googlebot to crawl URLs you submit, then charges you only for links that Google confirms as indexed. Unindexed links are refunded automatically. It is aimed at people who need backlinks or pages to enter Google's index without waiting on organic crawl discovery, and it works without Google Search Console access.

What problem it solves

Google only passes authority and traffic through links that are actually indexed. A backlink from an authoritative site contributes nothing if Google never crawls and indexes it, and a new page that never gets crawled will not appear in search results at all. SpeedyIndex targets that gap by dispatching Googlebot directly to submitted URLs rather than relying on the site's own crawl schedule.

How it works

The process is four steps, per the site's own description:

1. Upload your links — send a .txt file (up to 100,000 URLs per file) or paste links into the web app, one URL per line.
2. Googlebot is dispatched — the real mobile Googlebot follows and crawls each URL. The task starts immediately.
3. Google indexes the pages — first results appear within 48–72 hours, with indexation continuing to grow across a 7-day window.
4. Final report and auto-refund — on day 7 you get a report showing indexed vs. not indexed, and tokens for unindexed links are refunded automatically with no claim needed.

Progress is trackable in a dashboard from day 1. No Google Search Console access is required, and the service states it works for any website, including new domains.

The pay-per-result model

This is the core differentiator. The stated unit is 1 indexed link = 100 tokens, and tokens are deducted only for URLs confirmed indexed by Google. Everything else is refunded automatically — the site frames this as "No index? Zero cost."

For anyone budgeting link building, that shifts the risk: you are not paying per submission, you are paying per confirmed outcome. The trade-off is that you need to fund tokens up front, and your effective cost per indexed link depends on how many of your submitted URLs Google actually indexes.

Safety and method

SpeedyIndex states it uses real Googlebot crawls and explicitly avoids link wheels, GSA, Xrumer, PBNs, and other blackhat methods. It describes the approach as aligned with Google's guidelines and 100% safe. If your link building already avoids schemes, this is the relevant claim to evaluate — the service is positioning itself as a whitehat alternative to automation tools that risk penalties.

Access and trial

The service offers API access for automated workflows and a free trial with 100 free tokens, which is enough to test the model on a small batch before committing budget. A drip-feed mode is also listed among the features.

When it makes sense to use it

• You have backlinks or pages that are not getting indexed on their own.
• You want to pay for confirmed indexation rather than per submission.
• You need API access to fold indexing into an existing workflow.
• You want to test with a small token allocation before scaling.

If your URLs are already indexing reliably through normal crawling, the pay-per-result model offers little beyond speed. The value case is strongest when unindexed links are a recurring, measurable drag on your link building spend.

SpeedyIndex charges tokens only for URLs that Google confirms as indexed: 1 indexed link = 100 tokens. Any URL that is not indexed by the end of the 7-day window is refunded automatically, with no claim or support ticket required. The final indexation report is delivered on day 7, and you can track live progress in the dashboard from day 1. This model suits anyone submitting backlinks or pages who wants to pay strictly for confirmed results rather than for crawl attempts.

What "pay per result" actually means

The billing unit is the token, and the trigger is Google's own index status — not a crawl request, not a submission, and not a "task completed" event.

• 1 indexed link = 100 tokens. Tokens are deducted only for URLs confirmed indexed by Google.
• Unindexed links cost nothing. For every unindexed link, tokens are auto-refunded.
• No claim process. The refund is automatic, so you don't file a request or open a ticket to get tokens back.

The practical consequence: your spend maps directly to links that can actually pass authority and earn traffic. An unindexed backlink contributes zero authority and zero traffic, so paying for it would be pure loss.

How the 7-day cycle works

The service runs on a fixed 7-day window with a defined sequence:

1. Upload your links. Send a .txt file (up to 100,000 URLs per file) or paste links into the web app, one URL per line.
2. Googlebot is dispatched. The real mobile Googlebot is sent to follow and crawl each URL. The task starts immediately.
3. First results appear in 48–72 hours. Indexation continues to grow across the 7-day window.
4. Day 7: final report and auto-refund. You get a full report showing indexed vs. not indexed, and tokens for unindexed links are refunded automatically.

Live progress is visible in the dashboard from day 1, so you are not waiting blind until the report lands.

Where the refund boundary sits

The refund applies to the outcome at the end of the measurement window, not to intermediate states. A URL that is still unindexed on day 7 is refunded; a URL confirmed indexed is billed at 100 tokens. Because the report distinguishes indexed from not indexed explicitly, you can reconcile token deductions against the report line by line.

Two conditions shape this:

• No Google Search Console access is required. The service works for any website or backlink, including new domains, so the index status is determined on the service side rather than through your GSC property.
• The method is a real Googlebot crawl. According to the site, there are no link wheels, GSA, Xrumer, PBNs, or link schemes involved — the stated aim is a safe, sustainable approach aligned with Google's guidelines.

Choosing this model vs. flat-fee indexing

The trade-off is timing: results are measured over a 7-day window, so this is not an instant-index product. If you need confirmed indexation and want failed URLs to cost nothing, the pay-per-result structure fits. If you need same-hour indexing, this model's measurement window is the constraint to weigh.

Practical notes before you start

• File format: .txt, one URL per line, up to 100,000 URLs per file.
• Free test: the site offers testing with 100 free tokens, which covers one indexed link under the 100-tokens-per-link rate.
• Drip-feed mode is listed as a feature for spreading submissions over time.
• API access is available for automated link indexing, alongside the web app.
• Pricing beyond the token rate is not specified in the available page content, so check the pricing section of the site for current token packages before committing budget.

SpeedyIndex presents itself as a Google indexing service that dispatches the real mobile Googlebot to crawl submitted URLs, and it explicitly states it does not use link wheels, GSA, Xrumer, PBNs, or other blackhat methods. Based on the site's own claims, it positions its approach as "100% safe" and "aligned with Google's guidelines." Whether that holds for your situation depends on what you're indexing and how you interpret "compliant" — the service's safety claim rests on using genuine Googlebot crawls rather than manipulation tactics, but the final judgment about any specific link-building practice still belongs to you and Google's published policies.

What SpeedyIndex Says About Its Method

The core safety argument on the site is simple: instead of faking signals or building artificial link structures, SpeedyIndex sends the real mobile Googlebot to follow and crawl your URLs. According to the page, this is what makes it different from tools it labels blackhat.

The site specifically names methods it says it avoids:

• Link wheels
• GSA
• Xrumer
• PBN (private blog networks)
• Link schemes

It also states: "No blackhat. No link schemes. 100% safe." and "Real Googlebot crawls. No link schemes, no PBN, no risk."

The logic here is that crawling is a normal, expected part of how Google discovers content. Requesting a crawl is not the same as buying links or fabricating authority signals. That distinction is the basis for the compliance claim.

Why "Real Googlebot" Matters for the Safety Question

Google's guidelines draw a line between helping Google discover content and trying to manipulate rankings. Submitting URLs for crawling sits on the discovery side of that line.

SpeedyIndex's stated mechanism is:

1. You upload links (a .txt file up to 100,000 URLs, or paste them in the web app, one URL per line).
2. SpeedyIndex dispatches the real mobile Googlebot to follow and crawl each URL.
3. Google indexes the pages over a window that starts showing results within 48–72 hours.
4. On day 7, you get a final report showing indexed vs. not indexed.

Because the service says it uses the genuine Googlebot rather than a spoofed crawler or automated submission trick, the discovery process it describes is the same kind of crawl Google performs on its own. That is the strongest part of its compliance argument.

What the Service Does Not Require

One practical compliance-adjacent point: SpeedyIndex states it does not require Google Search Console access. The page says it "Works for any website or backlink" and "Works for any website including new domains."

This matters because it means you are not granting third-party access to your GSC property, and you are not relying on a workaround inside Google's own tools. The service operates by triggering crawls, not by manipulating your Search Console data.

The Pay-Per-Result and Refund Model

The pricing model is tied to confirmed outcomes, which the site frames as part of its safety and ROI story:

The "No index? Zero cost" framing means you are not paying for links that fail to index. From a risk perspective, this limits financial exposure, though it does not by itself answer the guidelines question.

Where the Compliance Question Gets Nuanced

The service's safety claim is about its method — real Googlebot crawls, no blackhat tactics. That is a meaningful and specific claim. But "compliant with Google's guidelines" depends on more than the crawling mechanism:

• What you're indexing matters. If the URLs you submit are part of a link scheme, a PBN, or paid link network, the crawl method being clean does not make the underlying links compliant. SpeedyIndex says it avoids PBNs and link schemes on its side, but it cannot vouch for the content of what you submit.
• Indexing is not ranking. Getting a page or backlink crawled and indexed does not mean Google will count it as an authority signal or rank it. The site itself notes that "unindexed links contribute zero authority," which is true — but indexed links are not automatically valuable either.
• "No risk" is the service's characterization. The page states "no risk," but that is SpeedyIndex's own claim about its method, not an independent guarantee about your SEO outcomes or your site's standing.

Practical Way to Decide

If your goal is to get legitimate pages or backlinks discovered by Google faster, and the URLs you submit are ones you would be comfortable having crawled under normal circumstances, the method SpeedyIndex describes — real Googlebot dispatch, no blackhat tools — is consistent with how Google itself discovers content. The no-GSC requirement and the auto-refund for unindexed links reduce friction and financial risk.

If the URLs you plan to submit come from link schemes, PBNs, or paid link networks, the clean crawl method does not change the nature of those links, and the compliance question shifts to the links themselves rather than the indexing service.

A reasonable first step, given the site offers 100 free tokens, is to test with a small set of URLs you already consider legitimate and observe the day-7 report before committing tokens at scale.