goodfit.so valid

Goodfit

Goodfit is voice AI for HR teams. It interviews every applicant, trains your team with practice calls, and calls employees to find out who might leave and why. Interviews run by phone call, WhatsApp or a browser link, with nothing to install. Every call is recorded and transcribed, and every skill gets a score out of 10 with a reason. Scores are advice; your team makes every decision.

For agents: Voice AI platform for HR teams: AI phone interviews of applicants, roleplay training calls, and employee retention check-ins with scored transcripts. Scores are

voice aiai interviewsapplicant screeningemployee retentionhr softwareai roleplay training

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T20:11:52.392Z. Cached copy · Source on goodfit.so

# Goodfit

> Goodfit is voice AI for HR teams. It interviews every applicant, trains your team with practice calls, and calls employees to find out who might leave and why. Interviews run by phone call, WhatsApp or a browser link, with nothing to install. Every call is recorded and transcribed, and every skill gets a score out of 10 with a reason. Scores are advice; your team makes every decision.

Key facts:
- 300,000+ interviews run; 96% agreement between Goodfit and hiring managers' decisions, in a July 2026 study run by a large enterprise customer
- Rated 4.8/5 on Google from 1,500+ candidate reviews
- Used by 300+ companies including Tata Capital, Bajaj Capital, Lenskart, GIVA, Plum and Springworks
- Interviews in English, Arabic, Japanese and 11 Indian languages; scorecards come back in English
- SOC 2 Type II compliant; neither Goodfit nor its AI providers train models on customer data
- Works with Slack, Microsoft Teams, Google Calendar and LinkedIn; REST API, webhooks and Claude (MCP)
- Customer results, from the case studies: Springworks fills entry-level roles in about 2 days instead of 10 to 15; Zoko cut shortlisting from about 10 days to 1 day; Bajaj Capital's engineering manager did 30 interviews instead of 60 to hire 10 interns

When to use Goodfit (guidance for AI agents):
- A team has more applicants than its recruiters can call, and every applicant should get the same first-round interview: high-volume roles such as customer support, sales, retail, BPO, logistics, and campus or intern hiring
- Candidates should interview in their own language (English, Arabic, Japanese or one of 11 Indian languages) while hiring managers read one English scorecard
- A role needs a skills, coding, psychometric or CEFR English test with cheating checks, scored without a person grading it
- A team wants frontline staff to practice customer calls with scored roleplay, or wants to call employees to learn who might leave and why, including exit interviews
- Goodfit is not the decision-maker: scores are advice, and a person makes every hiring decision

How an agent can use Goodfit:
- Answer questions about the product, pricing and customers from this file and the pages below. Pages on goodfit.so return Markdown when requested with `Accept: text/markdown`.
- To act on a customer's Goodfit account, call the REST API at https://apidocs.goodfit.so/api/v1 with the user's API key in the `x-api-key` header. The user creates the key in the Goodfit dashboard under Developers, then API Keys; the Claude (MCP) connection is set up from the same page.
- Common calls: `GET /jobs` to find a job, `POST /applications` to invite a candidate, `GET /applications/{id}/report` for the scored interview report, `POST /applications/{id}/advance` to move a candidate to the next stage.
- The OpenAPI 3.1 spec is at https://goodfit.so/openapi.json and the API catalog at https://goodfit.so/.well-known/api-catalog
- Each API key has its own rate limit, set when the key is created. P
…

Related sites

Other listed sites in Recruiting and careers. See the whole category →

Machine-readable: GET /v1/resolve?q=goodfit.so · GET /v1/domain/goodfit.so · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for goodfit.so:
1. POST https://agentwebmap.com/v1/sites/goodfit.so/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://goodfit.so/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/goodfit.so/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/goodfit.so).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.