Backlinks Historical Trend API: AI Large Language Models

Track historical backlink growth, referring domains, and link velocity over time. Try free — pay per generation.

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Overview

About this model

Backlinks History returns a month-by-month timeline of a domain's link acquisition, showing how referring domains and total backlinks have grown, plateaued, or declined over a chosen date range. Because it tracks both gained and lost links per period, it's useful for spotting negative SEO attacks, disavow-worthy link drops, or the exact months a competitor's link-building campaign paid off. An optional date_from / date_to window lets you zoom into a specific launch period instead of reviewing the domain's entire link history at once.

1Link velocity tracking: Monitor how quickly a domain is gaining or losing backlinks month over month.

2Negative SEO detection: Spot sudden, unexplained spikes or drops in referring domains.

3Campaign attribution: Correlate backlink growth with a specific content or PR campaign's launch date.

4Historical link acquisition auditing: Review a domain's full link-building trajectory before a partnership or acquisition review.

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Pricing & Value

Cost analysis

Provider	Cost	Notes
muapiapp	From $0.025 per query	Month-by-month backlink and referring-domain velocity for a chosen date range.
Fal.ai	Not available	Not offered as a standalone API.
Replicate	Not available	Not offered as a standalone API.

muapiappFrom $0.025 per query

Month-by-month backlink and referring-domain velocity for a chosen date range.

Fal.aiNot available

Not offered as a standalone API.

ReplicateNot available

Not offered as a standalone API.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Parameter	Type	Description	Default
Target Domain	string	Domain to analyze historical backlinks for.	`openai.com`
Date From	string	Starting date (YYYY-MM-DD).	`-`
Date To	string	Ending date (YYYY-MM-DD).	`-`

Target Domainstring

Domain to analyze historical backlinks for.

Default Valueopenai.com

Date Fromstring

Starting date (YYYY-MM-DD).

Default Value-

Date Tostring

Ending date (YYYY-MM-DD).

Default Value-

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Implementation Guide

Developer documentation

How to Use Backlinks History

Set the target domain: Pass target as the domain to analyze.
Set an optional date range: Use date_from and date_to (YYYY-MM-DD) to scope the timeline; omit both for full available history.
Read the response: Each period includes referring domains, total backlinks, and net link gains/losses for that month.

curl -X POST https://api.muapi.ai/api/v1/seo-backlinks-history \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "target": "openai.com",
    "date_from": "2025-01-01",
    "date_to": "2025-12-31"
  }'

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Common Questions

Frequently asked

How far back does the history go?

Multiple years of monthly backlink history are available; use `date_from` to scope to an earlier or later window.

Are `date_from` and `date_to` required?

No, both are optional — omit them to receive the full available historical timeline.

What is returned for each period?

Referring domain count, total backlinks, and net gained/lost links for that month.

Can this help detect negative SEO?

Yes, sudden unexplained drops in referring domains or backlinks within a short window are a common negative-SEO signal this endpoint surfaces.

How is this different from Backlinks Pages?

Backlinks Pages ranks current top-linked pages; Backlinks History tracks how the domain's overall link profile has changed over time.