Affogata
Filters bots and spam out of public posts and reviews, then correlates the remaining signal with a company's own metrics.
≈ 106visits/mo
Little sign of use · estimate, read 2026-10-12
- For
- Product, CX and data teams correlating unstructured customer feedback with business metrics
- Price
- Price not read
- Activity
- Activity not read yet
- Company
- founding year not on record
- Runs as
- API
- filter spam and promo chatter from customer reviews
- correlate feedback spikes with churn and revenue
- track sentiment after app releases across reviews and social
- Trains on your dataNosecurity page ↗
- Certifications they stateISO 27001 · GDPR · ISO 42001 · ISO 27701 · CCPAsecurity page ↗
- Privacy policy updated2026-06-24privacy policy ↗
“Data governance, full audit trail, governed AI never trained on your data Certifications & compliance First in our category to meet AI Microsoft SSPA approval GDPR ISO 27001 ISO 27701 ISO 42001 Microsoft SSPA CCPA Book a demo Talk to someone about your own data.”
security page ↗
These are Affogata's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP servercom.affogata.app/affogataverified in the MCP registry
- Stateanswers, requires sign-inchecked 2026-10-14
- Address to connectapp.affogata.com/mcp
- MCP docswww.affogata.com/platformthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
Cometly
Attributes revenue to marketing sources and syncs data across ad platforms, CRM, and data warehouses.
25.7kActivePay per use2021 - #2
OctolensMCP · sign-in
Monitors mentions across social platforms and the web, filters with AI, and delivers structured data to your tools.
7kActiveFrom $159/mo2023 - #3
Brand2Social
Schedules posts, manages conversations, and analyzes performance across multiple social media platforms from one dashboard.
1.5kMaintainedFrom $15/mo - #4
Onset MCP
Publishes release notes to branded changelogs and notifies customers across Slack, Discord, or email.
693ActiveFrom $24/mo - #5
Engain
Finds Reddit threads where customers want to buy, posts comments from aged accounts, and upvotes them to top.
542ActiveFrom $199/mo2024 - #6
Influverse
Generates AI videos, images and ads, then auto-posts and schedules them across social platforms.
457ActiveFrom $16/mo2024
What is Affogata?
Filters bots and spam out of public posts and reviews, then correlates the remaining signal with a company's own metrics. It is listed in the Atlas under Marketing.
Who is Affogata for?
Product, CX and data teams correlating unstructured customer feedback with business metrics
Do people use Affogata?
Little sign of use: ≈ 106 visits/mo · estimate, 2026-10.
Does Affogata train AI on your data?
No, per its security page (2026-10-14): “Data governance, full audit trail, governed AI never trained on your data Certifications & compliance First in our category to meet AI Microsoft SSPA approval GDPR ISO 27001 ISO 27701 ISO 42001 Microsoft SSPA CCPA Book a demo Talk to someone about your own data.”
Is Affogata safe?
We do not audit vendors. What Affogata publishes, read 2026-10-14: ISO 27001, GDPR, ISO 42001, ISO 27701, CCPA stated on its security page; on training with your data, “Data governance, full audit trail, governed AI never trained on your data Certifications & compliance First in our category to meet AI Microsoft SSPA approval GDPR ISO 27001 ISO 27701 ISO 42001 Microsoft SSPA CCPA Book a demo Talk to someone about your own data.”.
What are alternatives to Affogata?
In Marketing, by use: Cometly, Octolens, Brand2Social, Onset MCP, Engain, Influverse.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.