Nexscope

Backlink Time Series

Compare a website’s backlink counts, linking websites, and authority scores across returned periods to understand longer-term changes.

CostRecent 37 credits / call
Try online
POST · https://api.nexscope.ai/seo/backlinkTimeseriesMCP · nexscope_seo_backlink_timeseries

What this API does

Compare a website’s backlink counts, linking websites, and authority scores across returned periods to understand longer-term changes. The request accepts dateFrom, dateTo, groupRange, target. Its documented result includes bucketPolicy, groupRange, inputTarget, backlinks, backlinksNofollow, bucketEndAt, rank, referringDomains.

Backlink Time Series API use cases

Review link acquisition evidence

To review link acquisition evidence, a search marketer submits dateFrom and dateTo to Backlink Time Series. The returned bucketPolicy, groupRange, inputTarget help identify referring sources that merit closer inspection.

Compare competitor link profiles

A search marketer uses Backlink Time Series with dateFrom and dateTo to compare competitor link profiles. The returned bucketPolicy, groupRange, inputTarget help compare link evidence for competing websites.

Prioritize links for manual review

For this workflow, a search marketer calls Backlink Time Series with dateFrom and dateTo to prioritize links for manual review. The result helps choose suspicious or valuable links for manual assessment.

Backlink Time Series API FAQ

What does the Backlink Time Series API return?

Compare a website’s backlink counts, linking websites, and authority scores across returned periods to understand longer-term changes. The documented output includes bucketPolicy, groupRange, inputTarget, backlinks, backlinksNofollow, bucketEndAt, rank, referringDomains. It corresponds to the supplied dateFrom, dateTo, groupRange, target. Optional fields can be absent; a missing value should not be interpreted as a measured zero. Example values illustrate the response shape, rather than live account results.

How many credits does the Backlink Time Series API cost?

The current documented cost is Recent 37 credits / call. This is the same cost shown at the top of this page. If a range or estimate is displayed, the final charge depends on the request. Review your available credits and the pricing page before calling the API, and check API usage records for the actual charge.

How do I call the Backlink Time Series API from my app or an MCP client?

Send a POST request to https://api.nexscope.ai/seo/backlinkTimeseries with your API key as a Bearer token and the JSON inputs shown in API integration. In a compatible MCP client such as Claude or Cursor, connect Nexscope and call nexscope_seo_backlink_timeseries. Use the MCP arguments shown in the MCP guide, or switch Online test to MCP to review its request before adding it to your app.

View plans and creditsConnect this API with MCP

Try this API
Endpoint
https://api.nexscope.ai/seo/backlinkTimeseries
MCP method
nexscope_seo_backlink_timeseries

Step 1 of 3 · Authenticate

Authentication

All run endpoints require a user API key. Send it as a bearer token in the Authorization header.

Authorization: Bearer nk-xxxxxxxxxxxxxxxxx
Missing or invalid API keys return an authentication error. Manage keys from .

Step 2 of 3 · Send a request

POSThttps://api.nexscope.ai/seo/backlinkTimeseries

Run an API

Send a JSON request body using the parameters described below.

Example request

Replace YOUR_API_KEY, then run this command in your terminal.

curl -X POST 'https://api.nexscope.ai/seo/backlinkTimeseries' \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "dateFrom": "2026-01-01",
  "dateTo": "2026-01-31",
  "groupRange": "MONTH",
  "target": "nexscope.ai"
}'

Code example

{
  "dateFrom": "2026-01-01",
  "dateTo": "2026-01-31",
  "groupRange": "MONTH",
  "target": "nexscope.ai"
}

Step 3 of 3 · Inspect the result

Check the response

Read code for the request status and data for the result. Open the parameter and response reference for the full field definitions.

HTTP status codes

CodeDescription
200Default HTTP response for both success and many business errors. Only outer JSON code 0 indicates success or asynchronous acceptance; inspect data for the result.
429Execution admission rate limit; honor Retry-After when present.
503Execution admission is temporarily unavailable; honor Retry-After when present.
Opt-inX-Nexscope-Http-Status: semantic maps controller-handled business errors to HTTP status on run and task routes. Pre-authentication failures, such as a missing or invalid API key (code 11209, including an incomplete or corrupted copy) or an expired website login session (code 12001), may still return HTTP 200 before this mapping. Always check the outer JSON code; malformed requests and infrastructure failures may also return non-200 HTTP responses.
All categories/ Backlinks & Authority

Step 1 of 2 · Connect your MCP client

MCP

V2 recommended

Connect remote agents through the standard MCP 2025-11-25 Streamable HTTP endpoint. Use OAuth 2.1 Authorization Code with PKCE, or an API key for compatibility.

POST https://api.nexscope.ai/mcp
MCP-Protocol-Version: 2025-11-25
Content-Type: application/json
Authentication

OAuth clients request the mcp:tools scope. The endpoint's 401 response advertises protected-resource metadata for authorization discovery.

Step 2 of 2 · Call the tool

Call a tool

{
  "jsonrpc": "2.0",
  "id": "tool-call-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_seo_backlink_timeseries",
    "arguments": {
      "dateFrom": "2026-01-01",
      "dateTo": "2026-01-31",
      "groupRange": "MONTH",
      "target": "nexscope.ai"
    }
  }
}

Legacy MCP v1

Existing API-key clients can continue using the compatibility endpoint. New integrations should use MCP v2.

GET / POST /mcp/legacy

What can you do with this API?

Data explained and practical use cases

AI Guide

Question

What data can Backlink Time Series provide, and how might I use it?

AI answer

This API provides historical backlink-index measurements for a domain across a requested date range, grouped by day, week, month, or year.

Data categoryDocumented fieldsWhat the values mean
Time bucketsdata.result.groupRange, items[].bucketEndAt, bucketPolicyThe requested grouping, each bucket's end time, and the provider's full-period bucket policy.
Backlink countsdata.result.items[].backlinks, backlinksNofollowProvider-reported total and nofollow backlink counts for a bucket, when available.
Referring sourcesdata.result.items[].referringDomains, referringMainDomains, referringPagesCounts of distinct referring domains, main domains, and pages for a bucket.
Rank signaldata.result.items[].rankThe provider-reported rank value for that bucket, when available.
Data interpretationdata.result.zeroMeaning, items[].missing[].field, items[].missing[].reasonA zero may mean a provider zero or no data; missing entries identify unavailable or invalid fields.
Series scopedata.result.returnedCount, truncatedNumber of returned buckets and whether the series was cut short.
  • Chart whether the domain's indexed backlink count rose or fell over the requested months.
    • Prompt example: “I plan search marketing for an online store. Could you chart whether the domain's indexed backlink count rose or fell over the requested months? Show the relevant returned evidence and tell me what input you need from me.”
  • Compare referring-domain growth with backlink growth to see whether gains came from more sources or more links per source.
    • Prompt example: “I plan search marketing for an online store. Could you compare referring-domain growth with backlink growth to see whether gains came from more sources or more links per source? Show the returned values behind the comparison, and mark missing data.”
  • Examine changes in nofollow counts alongside total backlinks.
    • Prompt example: “I plan search marketing for an online store. Could you examine changes in nofollow counts alongside total backlinks? Show the relevant returned evidence and tell me what input you need from me.”
  • Flag unusual bucket-to-bucket changes for closer investigation using backlink records.
    • Prompt example: “I plan search marketing for an online store. Could you flag unusual bucket-to-bucket changes for closer investigation using backlink records? Show the relevant returned evidence and tell me what input you need from me.”

These are provider-index measurements, not a complete history of links on the web. Treat zero values carefully because the documented zeroMeaning explicitly allows no data. The supplied example is still PROCESSING.

Data Example

Sample request and response

Request parameters

{
  "dateTo": "2025-06-30",
  "dateFrom": "2025-01-01",
  "groupRange": "MONTH",
  "inputTarget": "amazon.com",
  "normalizedTarget": "amazon.com"
}

Response

{
  "code": 0,
  "msg": null,
  "data": {
    "usage": {
      "billingStatus": "CHARGED",
      "chargedCredits": 37
    },
    "callId": "1f7f2552-ad6c-4db1-b1d3-b02d57085289",
    "result": {
      "items": [
        {
          "rank": 881,
          "missing": [],
          "backlinks": 2632507255,
          "bucketEndAt": 1738281600000,
          "referringPages": 1846504236,
          "referringDomains": 4111725,
          "backlinksNofollow": 2603041040,
          "referringMainDomains": 3339133
        },
        {
          "rank": 881,
          "missing": [],
          "backlinks": 2589664082,
          "bucketEndAt": 1740700800000,
          "referringPages": 1823113677,
          "referringDomains": 4058184,
          "backlinksNofollow": 2780256731,
          "referringMainDomains": 3313665
        },
        {
          "rank": 827,
          "missing": [],
          "backlinks": 2519836165,
          "bucketEndAt": 1743379200000,
          "referringPages": 1774258741,
          "referringDomains": 3948275,
          "backlinksNofollow": 2992331917,
          "referringMainDomains": 3293939
        },
        {
          "rank": 851,
          "missing": [],
          "backlinks": 2499375699,
          "bucketEndAt": 1745971200000,
          "referringPages": 1754789683,
          "referringDomains": 3800388,
          "backlinksNofollow": 3223691411,
          "referringMainDomains": 3268164
        },
        {
          "rank": 851,
          "missing": [],
          "backlinks": 2487965682,
          "bucketEndAt": 1748649600000,
          "referringPages": 1740803161,
          "referringDomains": 3773780,
          "backlinksNofollow": 3479102862,
          "referringMainDomains": 3257260
        },
        {
          "rank": 850,
          "missing": [],
          "backlinks": 2460909881,
          "bucketEndAt": 1751241600000,
          "referringPages": 1725942629,
          "referringDomains": 3740945,
          "backlinksNofollow": 3751251543,
          "referringMainDomains": 3233668
        }
      ],
      "missing": [],
      "truncated": false,
      "groupRange": "MONTH",
      "sourceKind": "dataforseo_backlink_index",
      "inputTarget": "amazon.com",
      "zeroMeaning": "provider_zero_or_no_data",
      "bucketPolicy": "provider_full_period",
      "returnedCount": 6,
      "sourceProduct": "backlinks",
      "requestedDateTo": "2025-06-30",
      "normalizedTarget": "amazon.com",
      "requestedDateFrom": "2025-01-01"
    },
    "source": "dataforseo",
    "status": "SUCCESS",
    "coverage": {
      "status": "COMPLETE",
      "missing": []
    },
    "completedAt": 1789953358676,
    "requestedAt": 1789953358128,
    "schemaVersion": "MDX-F1-BA12-1.0"
  }
}

Related APIs