Datics AI
AI for MarTech

Channelly by Datics AI

Campaign data from every platform, fetched within its limits and kept within its rules.

Reports stay current when platforms change. Channelly maps what each platform returns and permits, fetches only what is new inside its limits, surfaces gaps instead of zeros and shows the operator quota and AI cost.

See it in your platform Try the demo

Built into your codebase and shipped under your name, on an engine we license to you.

murmurline.example/sources/tidewell-spring-launch

Halyard and Finch · Channelly

Demo

Is the Tidewell launch data complete after last night's refresh?

Refresh checked, backfill waiting

  • 1,860 new comments, each stored once
  • 3 gaps logged, never stored as zero
  • Backfill runs only after the operator approves

42 posts refreshedPlatform rules keptOperator approves

Try it step by step

Illustrative demo on a fictional agency. Not client work.

Try it step by step

Channelly on a fictional agency.

Halyard and Finch (fictional). Step through the conversation, then see what Channelly hands back, the way your Build Sprint would build it on synthetic data.

murmurline.example/sources/tidewell-spring-launch

Halyard and Finch · Channelly

Demo

  • Is the Tidewell launch data complete after last night's refresh?

Step 1 of 5

Illustrative demo on a fictional agency. Not client work.

What it hands back

murmurline.example/sources/tidewell-spring-launch

Refresh log · Tidewell Spring Launch

Halyard and Finch · nightly refresh

Channelly
New comments
1,860 added once each · duplicates skipped
Done
Gaps
3 Instagram posts short of their metrics · logged
Check
Deleted post
1 TikTok post · data removed
Done
X quota
82% used this month · refreshes throttled
Check
Backfill
3 posts, about 4% of Instagram quota · operator to approve
Waiting

Each platform's collector stays inside its limits. LinkedIn profiles are kept as person IDs only, and deleted posts are removed.

Illustrative demo on a fictional agency. Not client work.

What it does

What Channelly can do.

A collector per social platform behind one registry, official APIs, or a vetted data provider where an API does not return what a report needs, each used inside the limits it allows, fetching only new comments, keeping only what each platform permits and showing the operator its quotas and AI cost.

Platform data map

Per channel: the content, interactions, comments and audience data each platform really returns.

Collectors behind one registry

Official APIs, or a vetted data provider where an API does not return what a report needs, swappable without touching the reports.

Only what is new

Comments inserted once, metric snapshots with day over day changes, caps on first and daily fetches.

Gaps that surface

Errors retried with backoff, persistent ones raised, missed comments logged for backfill.

Quota and cost view

An operator view of API quotas and AI cost, with refreshes throttled in staggered batches.

How it works

Each campaign post becomes its own collection task, sent out in staggered batches. The platform's collector pulls only what it is allowed, new comments are stored once with metric snapshots, slow external calls run in their own lane, and quotas and AI cost are logged for the operator.

Built on a collection layer we have built across six social platforms for an influencer analytics platform, with collectors behind one registry.

SenTrac

Social data · Collection within API rules

Campaign reports use only the data each platform allows, refreshed within its limits

Social APIs are gated, capped and change often; we built SenTrac's data layer so each platform's rules and limits hold and reports stay current.

Data foundationAI-native productIntegrations
Read case study

SenTrac

Social listening · Campaign sentiment

Agencies see how audiences feel about a campaign, scored fairly across six channels

Agencies copied comments by hand and misread sarcasm and emoji; now SenTrac scores every comment and compares channels on one scale.

AI-native productHuman approvalIntegrations
Read case study

Sparrow Marketing

Social inbox · Comment ranking

Social managers see the comments worth answering first, learned from their own choices

Managers dug through three platforms for the comments that mattered; now one ranked queue puts them on top and sets junk and spam aside.

Brownfield AIHuman approvalInside a live product
Read case study

Why it sells

What Channelly does for your business.

What your agencys get, and what it does for your renewals and pricing.

Reports that stay current

A platform change swaps one collector, not the reports.

Quota spent on new data

No refetching what you already have, so caps go further.

Rules your customers can trust

Storage and deletion rules built in, not patched after launch.

Built for:Social listening and influencer platforms

Controls

What Channelly touches, and who approves.

Your agencys' data is not used to train models for anyone else and stays in your cloud. Built and tested on synthetic or test data.

  • Who uses it

    Platform operators, data and engineering teams

  • What it connects to

    Social platform APIs and vetted data providers, your database and reports

  • What a person approves

    The operator approves backfills and source changes; storage rules are fixed in scope

  • Switch per agency

    On or off for each agency, with data settings their admins control.

See all controls and how we handle social and audience data

How to get it

Two steps to a finished Channelly.

Start with a three-week Build Sprint. Add more only if you want it.

  1. First · Build Sprint · $10,000 fixed

    Campaign data stays current within each platform's rules

    • Collectors behind one registry
    • Only what is new
    • Gaps that surface
    • In your staging, behind a feature flag
    • Delivered as pull requests
    • A test set your team reviews
    1. Week 1Setup
    2. Weeks 2 to 3Build
    3. You getChannelly in your staging and a fixed production quote
    Your time
    About 2 to 3 hours a week from a product owner
    Data
    Synthetic or test data, never your agencys' customers
    The fee
    Counts toward production
    See Channelly in your platform See a sample Build Sprint Pack

  2. Then · Live in production

    A finished product, yours to run

    • Fixed quote
    • Tested before launch
    • Switch per agency
    • A finished, working Channelly in your product
    • Runs in your cloud, under your name
    • Fixed quote, agreed before we start

  3. Optional · Add more later

    Only if you want it

    More of Channelly:

    • Platform data map
    • Quota and cost view

    Another module:

    • Each one quoted on its own
    • Nothing ongoing unless you ask

Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.

FAQ

Questions about Channelly.

Which platforms have you collected from?

X, YouTube, Instagram, Facebook, TikTok and LinkedIn, through official APIs, or a vetted data provider where an API does not return what a report needs, each used inside the limits it allows. We scope yours in the Product Review.

What happens when a platform changes its API?

Each platform has its own collector behind one registry, so a source can change without touching the reports, and failures are raised instead of stored as zero.

See Channelly on your own product.

Bring your product and one workflow. In 30 minutes we look at where Channelly fits, what it would cost to serve and what your agencys' security review will ask.

Book a 30-minute Product Review All martech modules

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.

See Channelly in your platform