MonkeyLearn

  • MonkeyLearn — Full Profile (2026-09)

    MonkeyLearn, Inc., San Francisco; founded 2014​ by Raúl Garreta + Ernesto Rodriguez + Martín Alcalá Rubí; 500 Startups/Uncork/Bling-backed (~$4.2M seed). Acquired by Medallia early 2022, standalone self-serve product wound down 2023, monkeylearn.com redirects to medallia.com as of Aug 2026​ — prints acquired-absorbed-not-standalone-2026 (current-state tag aligns with Clipdrop/Slack acquired-kept, but notes Medallia-absorbed not kept-as-brand). Not open-source. No MCP server ever​ (aligns FFmpeg/Motion/Todoist/Qualtrics cluster).

    Website

    Field Value
    Official Website ~~https://monkeylearn.com~~ → redirects to https://www.medallia.com​ (Aug 2026); legacy docs/API reference still partially live at developer.monkeylearn.com but token issuance routed via Medallia support
    Company MonkeyLearn, Inc., San Francisco; founded 2014​ Garreta et al.; seed ~$4.2M (500 Startups/Uncork/Bling); acquired by Medallia early 2022​ (Medallia itself SAP-adjacent then Silver Lake peer); standalone signup closed 2023, NLP engine folded into Medallia Experience Cloud (Text IQ successor). Acquired-absorbed, not independent, not bootstrap, not VC-current, not open-source, no MCP.
    Status Discontinued as standalone SaaS​ — capabilities survive inside Medallia enterprise contracts only; no new self-serve accounts
    Category ai-productivity-data
    Pipeline Stage none

    Title

    Field Value
    Product MonkeyLearn (historical profile, 2014-2023 standalone; 2023-2026 → Medallia Text Analytics module)
    Descriptive Title MonkeyLearn — No-Code Text-Analytics & NLP Studio: Pre-Built Sentiment/Topic/Entity/Extractor Models + Custom Classifier Training (no code) + Studio Dashboards + REST API (300 queries Free / 10K Team 999) + Zendesk/Sheets/Zapier Integrations; Acquired by Medallia 2022, Standalone Sunset 2023, No MCP Server (SF 2014 Garreta)
    One-line Positioning User uploaded CSV of reviews/tickets/survey open-text → picked a pre-built sentiment/topic/extractor or trained a custom tagger by labeling ~50 rows → MonkeyLearn classified the rest, clustered themes in Studio dashboards, pushed tags back via REST/Webhook/Zapier to Zendesk/Sheets; query-metered (300→10K→100K/mo), no per-seat on lower tiers, no MCP​ (agents never drove it; reverse Rezi/Miro/XMind), now unreproducible as standalone — Medallia enterprise only.

    Features (as standalone, frozen 2023)

    Field Value
    Pre-Built Models Sentiment (pos/neg/neutral + intensity), English/Spanish/Multi topic classifiers, keyword extractor, entity extractor (person/org/location/product), intent classifier, urgency detector — public gallery, no training
    Custom Models No-code classifier/extractor trainer: upload dataset → label samples → active-learning retrain → deploy as API endpoint; typical 80-95% F1 after ~200 labeled rows; versioning basic
    Studio MonkeyLearn Studio: pipeline canvas (data source → models → outputs), word clouds, sentiment-over-time, topic distribution charts, filter by date/custom field, shareable dashboard links
    Data Sources CSV/XLSX upload, pasted text, Zendesk/Freshdesk connector, Google Sheets add-on, Gmail, SurveyMonkey import, REST push, Zapier/Make
    API REST v1​ (api.monkeylearn.com/v1/classifiers/{id}/classify/ etc.), bearer token, batch classify, 1 req = 1 query; webhooks on batch complete; no GraphQL, no OAuth app model for end-users (token-only)
    Integrations Zendesk, Freshdesk, Google Sheets, Excel, Gmail, Zapier, Make, Slack (summary post), SFTP; no Salesforce/ServiceNow native (unlike Qualtrics)
    AI Layer Classical ML (SVM/logistic/transformer fine-tunes pre-2022) + light LLM-assisted labeling suggestions late stage; no generative AI chat, no credit-meter​ (query-count meter only, reverse Motion/XMind)

    Pricing (historical, frozen 2023; Medallia custom replaces it)

    Field Value
    Free $0​ — 300 queries/month, public models only, 1 workspace, no custom models, CSV upload, basic Studio, community support, English-only default
    Team $299/mo​ (annual default) — 10,000 queries/mo, 3 custom models, 3 seats, Studio dashboards, Zendesk/Sheets integrations, email support
    Business $999/mo​ — 100,000 queries/mo, unlimited custom models, 10 seats, priority support, advanced Studio, API rate bump
    Enterprise (MonkeyLearn-era) Custom — unlimited queries, on-prem option talked-but-rare, SLA, SSO, dedicated CSM
    Medallia-era 2026 No standalone purchase​ — Text Analytics sold as Medallia module, $100K-500K/yr enterprise floor, former MonkeyLearn clients grandfathered on query packs inside Medallia
    Type query-metered-not-seat-metered (lower tiers); starting_paid_was=$299; product delisted 2023

    Reviews

    Field Value
    G2 No standalone MonkeyLearn profile maintained post-2023​ — historical 4.3-4.5/5 across ~140 legacy reviews (2018-2022) rolled into “Medallia Text Analytics” successor profile; print no-rated-b2b-profile-standalone-2026 (same rule as FFmpeg/Bannerbear G2-absent, but here cause sunset not never-existed)
    Capterra 4.3/5 ~4 reviews​ (ToolRadar aggregate Aug 2026) — residual legacy listing only, not live product; auxiliary, weight near-zero
    Trustpilot No MonkeyLearn brand page of substance​ — Medallia TP 3.0-3.4 barbell not inherited; print no-rated-consumer-profile
    TrustRadius Legacy ~4.0/5 ~30 historical — tertiary, not reweighted
    Editorial ToolRadar 4.3/4, AI Tools Atlas 4.2, Speak AI comparative “discontinued” — positioning + sunset confirmation
    Praise (historical) Fastest no-code custom-text-classifier launch for non-ML teams, 300-query free tier let analysts validate before procurement, Studio dashboards beat raw Python scripts for PMs, REST + Zapier made ticket-routing demos in an afternoon, pre-built sentiment decent for English reviews
    Gripes (historical) Custom model accuracy collapsed on slang/sarcasm/mixed-language, 300-query free wall hit in 1 demo, $299 floor steep for occasional users, no generative-AI/LLM chat (dated by 2023), Medallia acquisition killed roadmap transparency, sunset left 2023 cohorts scrambling to Speak AI/Medallia/Lexalytics

    Review Sources Breakdown

    Field Value
    G2.com standalone profile retired → no-rated-b2b-profile-standalone-2026, legacy 4.3-4.5/~140 pre-2023 not reprinted as current
    Capterra.com 4.3/5 ~4 residual legacy, auxiliary near-zero weight (product delisted)
    Trustpilot.com none → no-rated-consumer-profile
    TrustRadius ~4.0/30 historical tertiary
    Editorial ToolRadar/AI Tools Atlas/Speak AI confirm sunset + 4.3 band
    Conclusion​ Prints “Standalone MonkeyLearn sunset 2023 → Medallia-absorbed, no current G2/Capterra/TP star, legacy 4.3 band historical only” — diverges from active-product split-source rule because product is dead-as-standalone (flag explicitly, do not fabricate 2026 stars)

    Access

    Field Value
    Web App ~~app.monkeylearn.com~~ login disabled for new accounts 2023; existing grandfathered tenants routed to Medallia Experience Cloud UI
    API Legacy REST v1 tokens still honor until Medallia migrates contract​ (some 2024-2025 grandfathered clients kept endpoint live read-only); new tokens only via Medallia support; no MCP, no WebSocket, no client-credentials refresh
    MCP None ever​ — confirms FFmpeg/Motion/Todoist/Qualtrics cluster; reverse Rezi/Miro/XMind/Supabase/Framer
    Integrations Zendesk/Sheets/Zapier legacy connectors deprecated for new flows; Medallia-side connectors (Salesforce/ServiceNow/Genesys) replace them
    Login Former email/password; now Medallia SSO/SAML only for inherited orgs
    Self-host Was “on-prem option talked” never GA; Medallia cloud-only inherits

    Best For (historical fit, pre-2023)

    Field Value
    Audience 1 PMs/UX researchers classifying 500-5,000 open-text survey responses without a data scientist
    Audience 2 Support leaders auto-tagging Zendesk tickets by topic/urgency for routing (pre-LLM-era sweet spot)
    Audience 3 Analysts building a one-off sentiment dashboard on app-store reviews
    Audience 4 No-code learners prototyping an NLP classifier in an afternoon

    (2026 note: these buyers now go to Speak AI / Lexalytics / Medallia Text IQ / Hugging Face Inference API / OpenAI function-calling, not MonkeyLearn)

    Not For

    Field Value
    Exclude 1 Any 2026 greenfield buyer — product not purchasable standalone (→ Medallia only, 6-figure floor)
    Exclude 2 Multimodal (audio/video) analysis — text-only by design (→ Speak AI)
    Exclude 3 Agent builders wanting MCP/claude-code text-classify loop (none, never shipped)
    Exclude 4 High-slang/sarcasm/mixed-language production (custom model F1 drops; → fine-tuned LLM classifier)
    Exclude 5 Per-seat budget planners — was query-metered, confuses finance (but moot post-sunset)

    Competitors

    Field Value
    Speak AI Direct 2026 successor for no-code text + audio/video NLP, $20/user/mo, 100+ MCP tools, no model training; absorbed MonkeyLearn refugees
    Lexalytics (Unwrap/NetBase) Enterprise text analytics, Semantria heritage, stronger multilingual, no no-code UX
    Medallia Text IQ Where MonkeyLearn tech now lives; enterprise VoC, no self-serve
    Hugging Face Inference API Build-your-own classifier, dev-first, no Studio UI
    OpenAI/Claude function-calling 2026 default for “classify this text” with few-shot prompts, kills custom-ML-training step
    Google Cloud NL / AWS Comprehend Managed NLP, no no-code Studio, dev-owned

     

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