AI & RAG

Objection Rebuttal Retrieval API Endpoint

Exposes a webhook that takes an objection string and prospect context, retrieves grounded rebuttals from your won-deal transcript store.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives objection + context payloadHTTP webhook
  • LogicValidate payload and apply segment/competitor filters
  • ActionEmbed objection and run filtered vector search in SupabaseSupabaseSupabase
  • ActionRe-rank and summarize passages into structured rebuttalsOpenAI
  • OutputReturn rebuttals as JSON over the webhook responseHTTP webhook

What it does

Provides a reusable retrieval endpoint so any internal tool can ask for proven rebuttals. Send it an objection and optional context (segment, competitor), and it returns ranked rebuttals grounded in won-deal transcripts as clean JSON — no UI required.

When to use it

Use it when you want objection retrieval available outside Slack: inside a sales dialer, a CRM side panel, a custom enablement portal, or a chatbot. One endpoint, many consumers.

How it works

  1. 1An HTTP webhook receives a POST with the objection text and optional filters.
  2. 2A logic step validates the payload and applies any segment or competitor filters.
  3. 3OpenAI embeds the objection and Supabase runs a filtered vector search over won-deal transcript chunks.
  4. 4OpenAI re-ranks and summarizes the top passages into structured rebuttals with source deal references.
  5. 5The endpoint responds with JSON containing each rebuttal, confidence score, and citation.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SupabaseTables, auth, storage, edge functions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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